# Best Enterprise ETL Tools *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Databricks is the top-ranked ETL tool in 2026, rated 4.6 out of 5 on G2 based on 1,300+ verified reviews. Celigo stands out as the highest-rated option at 4.7 stars, particularly favored by NetSuite-centric organizations seeking seamless app integration and ease of use. 1. Databricks — 4.6/5 (1,300+ reviews): Unified lakehouse pipelines with governance and ML workflows 2. Celigo — 4.6/5 (1,000+ reviews): NetSuite-centered app integration and sync 3. Google Cloud BigQuery — 4.5/5 (1,200+ reviews): Serverless analytics on large cloud datasets 4. Alteryx — 4.6/5 (800+ reviews): Drag-and-drop data prep and reporting automation 5. IBM watsonx.data — 4.4/5 (100+ reviews): Lakehouse querying across object storage *Updated June 2026. Based on 2026 G2 verified review data across 1,780 products.* Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business ETL Tools category. In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Enterprise Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business. ## Top ETL Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,316 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Helpful for Managing and Analyzing Operational Data](https://www.g2.com/survey_responses/databricks-review-13090803)" | | 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,035 reviews) | NetSuite-centered app integration and sync | "[Best Ipaas system so far.](https://www.g2.com/survey_responses/celigo-review-13115047)" | | 3 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (845 reviews) | Drag-and-drop data prep and reporting automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,144 reviews) | Serverless analytics on large cloud datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)" | | 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (123 reviews) | Geospatial and multi-format data transformation | "[Powerful Automation and Workflow with Fast Onboarding](https://www.g2.com/survey_responses/fme-platform-review-13115305)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,019 reviews) | Self-service ETL feeding business dashboards | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 8 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (782 reviews) | Managed connector-based data ingestion | "[Trouble-Free Data Pipelines with Effortless Connections to Nearly Every Service](https://www.g2.com/survey_responses/fivetran-review-12999542)" | | 9 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (332 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Straightforward data integration that reduced manual maintenance across our cloud systems](https://www.g2.com/survey_responses/skyvia-review-13091652)" | | 10 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (748 reviews) | Low-code workflow automation across SaaS apps | "[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)" | --- ## What Are the Most Common Questions About ETL Tools? *AI-generated · Last updated: May 26, 2026* ### How to evaluate ETL tools based on performance and transformation logic? Based on G2 reviews, buyers evaluating ETL tools for performance and transformation logic should focus on how well platforms handle large data volumes, connect multiple sources, and support dependable transformations without excessive manual work. According to verified users, strong options are often described as fast, scalable, and capable of simplifying complex workflows while supporting SQL, APIs, batch jobs, or real-time processing. G2 reviewers mention that practical evaluation also comes down to how easy pipelines are to debug, how clearly data flows can be monitored, and whether transformations can be reused or automated. Reviews also consistently call out tradeoffs such as steep learning curves, slow troubleshooting, or heavy resource use, so teams should weigh speed and flexibility against maintainability. ### What best ETL platforms with version control and team collaboration features? Based on G2 reviews, Databricks stands out strongly for ETL teams that want version-aware development and collaboration in one environment. According to verified users, Databricks is frequently praised for shared notebooks, Git-based repo sync, CI/CD support, and a workspace that helps engineers, analysts, and data teams work together on pipelines, transformations, and analytics. G2 reviewers mention that these collaboration features help reduce coordination overhead and make onboarding easier, especially when multiple users are working across notebooks and workflows. At the same time, reviewers also note tradeoffs such as workspace sprawl, UI complexity at scale, and the need for discipline around administration and cost control. Overall, recent reviews point to Databricks as the clearest single-product leader here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for shared notebooks, Git-based repo sync, collaborative ETL workflows, and centralized pipeline development ### How to choose an ETL platform for multi-source data integration? Based on G2 reviews, the best way to choose an ETL platform for multi-source data integration is to look for evidence that users successfully connect databases, SaaS apps, cloud storage, APIs, spreadsheets, and warehouses without heavy custom work. According to verified users, buyers should prioritize broad connector coverage, strong transformation options, scheduling, and reliability once pipelines are live. G2 reviewers mention that teams also care about how easily data can be standardized from fragmented systems into a single reporting or analytics layer. Reviews repeatedly highlight practical concerns such as debugging difficulty, documentation quality, and connector maturity, especially for edge cases. A strong fit is usually a platform that reduces manual exports, centralizes data movement, and keeps downstream reporting consistent. ### Where to buy ETL tools with flexible pricing for startups and enterprises? Based on G2 reviews, buyers looking for ETL tools with flexible pricing should compare platforms on how predictable costs remain as usage grows, not just on entry price. According to verified users, some tools are valued because they avoid forcing separate purchases for every workflow, while others are praised for fair monthly pricing, startup-friendly plans, or capacity-based structures that make budgeting easier. G2 reviewers mention that pricing friction often appears when usage scales, connectors are gated, or cost models become hard to forecast. For startup and enterprise buyers alike, the practical signal is whether teams feel they can expand integrations without constant pricing surprises. Reviews suggest prioritizing platforms described as affordable, transparent, or cost-effective for real production use. **Here are some of the top-rated products on G2:** - [Skyvia](https://www.g2.com/products/skyvia/reviews) – favored by small and mid-sized teams for affordable no-code integrations and predictable data movement workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – chosen for managed connector setup and reliability, though reviews often discuss cost planning as volume grows - [Celigo](https://www.g2.com/products/celigo/reviews) – used for expanding business integrations with low-code flows and reusable templates across systems ### Where to find cloud-native ETL platforms for modern data stacks? Based on G2 reviews, cloud-native ETL platforms for modern data stacks are typically the ones users describe as serverless, easy to integrate with cloud warehouses and storage, and well suited for SaaS-heavy environments. According to verified users, these products often support automated syncing into tools like Snowflake, BigQuery, Redshift, or cloud lakehouse environments while reducing infrastructure management. G2 reviewers mention that buyers should look for platforms praised for quick deployment, broad cloud connectors, scheduling, and compatibility with modern analytics workflows. Reviews also show that the best cloud-native fit depends on whether your team prioritizes low maintenance, open-source flexibility, or warehouse-centric transformation. In practice, users favor platforms that shorten setup time and keep pipelines dependable at scale. ### Which ETL tools support real-time streaming data processing? Based on G2 reviews, Databricks is the clearest match for ETL buyers who need support for real-time or near real-time data processing. According to verified users, Databricks is repeatedly used for streaming alongside batch workloads, with reviewers highlighting scalable Spark-based processing, unified pipeline management, and strong support for handling large or continuously changing datasets. G2 reviewers mention that the platform helps teams bring ETL, analytics, and data engineering into one environment, which is valuable when streaming workflows need to feed downstream reporting or operational systems. Reviewers also note tradeoffs such as cluster startup delays, debugging complexity, and cost monitoring requirements, but recent review volume still makes Databricks the strongest single-winner answer here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for both batch and real-time workflows, scalable Spark processing, and unified ETL plus analytics pipelines ### What best ETL software for building scalable data pipelines? Based on G2 reviews, the strongest ETL software for scalable data pipelines is usually the one users trust for large workloads, multi-source ingestion, and long-running production workflows without constant manual fixes. According to verified users, common strengths include handling high data volumes, integrating cloud services and warehouses, automating scheduling, and supporting reusable pipeline logic. G2 reviewers mention that scalability is not just raw performance; it also depends on monitoring, governance, ease of updates, and whether teams can keep pipelines maintainable as usage grows. Reviews consistently call out Databricks, Fivetran, and FME Platform as examples of tools used for scalable pipelines, though buyers should compare complexity, connector depth, and cost discipline against their own environment. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for scalable Spark-based pipelines, unified ETL workflows, and high-volume analytics processing - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used for managed ingestion pipelines from many SaaS sources into cloud warehouses with low maintenance - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for large multi-format workflows, automated transformations, and reliable enterprise-scale data movement ### Who offers ETL tools with low-code interface and drag-and-drop builders? Based on G2 reviews, several ETL vendors offer low-code interfaces and drag-and-drop builders aimed at making integration work easier for both technical and less technical teams. According to verified users, these tools are especially valued when they reduce scripting needs, speed up pipeline creation, and make workflows easier to explain or maintain. G2 reviewers mention visual builders, reusable templates, and no-code automation as recurring strengths across multiple products. At the same time, reviews show that low-code does not always mean simple at scale, since debugging, customization, or advanced logic can still introduce complexity. Buyers should look for products whose reviews specifically mention intuitive workflow design, easier onboarding, and broad integration support. **Here are some of the top-rated products on G2:** - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for visual workflow building, drag-and-drop transformations, and automation across many systems and formats - [Workato](https://www.g2.com/products/workato/reviews) – used for low-code recipe building, connector-based integrations, and workflow automation across business apps - [Celigo](https://www.g2.com/products/celigo/reviews) – used for low-code integration flows, prebuilt templates, and automating ERP, ecommerce, and SaaS workflows ### What ETL solutions support automated error handling and retries? Based on G2 reviews, ETL solutions that support automated error handling and retries are usually the ones users describe as reliable in production and strong at surfacing failures before they disrupt downstream reporting. According to verified users, these platforms often include retry logic, monitoring, alerts, or workflow controls that reduce the need for manual intervention. G2 reviewers mention detailed error visibility as a major advantage in products like Celigo, Fivetran, and Workato, especially when teams need to manage frequent integrations across multiple systems. Reviews also note that not every product is equally transparent when something breaks, so buyers should look beyond automation claims and evaluate how easy it is to identify, retry, and resolve failures in real workflows. ### Which ETL tools integrate with popular data lakes and data warehouses? Based on G2 reviews, Databricks is the strongest single answer for ETL tools that integrate with popular data lakes and data warehouses. According to verified users, Databricks is repeatedly used in environments that combine lakehouse architecture, cloud storage, external warehouses, and downstream analytics tools. G2 reviewers mention integrations with platforms such as BigQuery, Snowflake, cloud ecosystems, BI tools, and governed data layers, all within a unified workflow for ETL, analytics, and machine learning. Reviewers also highlight that the platform reduces fragmentation by bringing multiple workloads into one environment, though they note that cost management and complexity still require attention. For buyers prioritizing broad lake and warehouse alignment, Databricks appears most consistently in recent review evidence. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used with lakehouse architectures, cloud storage, external warehouses, and BI ecosystems in one ETL environment ## G2 Grid® for ETL Tools ![G2 Grid® for ETL Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/etl-tools/grids.png?focus%5B%5D=10470&focus%5B%5D=989&focus%5B%5D=6073&focus%5B%5D=69889&focus%5B%5D=52204&focus%5B%5D=1308796&focus%5B%5D=40849&focus%5B%5D=604) Highlighted products: Databricks, Alteryx, Google Cloud BigQuery, IBM StreamSets, Azure Data Factory, IBM watsonx.data, AWS Glue, and Domo. Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-streamsets&focus%5B%5D=azure-data-factory&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=aws-glue&focus%5B%5D=domo&segment=enterprise) ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 254 ### Category Stats (Jul 2026) - **Average Rating**: 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.56%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 16, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,100+ Authentic Reviews - 254+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. --- **Sponsored** ### CData Sync Unlike volume-based tools with unpredictable pricing, CData Sync offers a single platform for ETL and reverse ETL, with full deployment flexibility and fixed, scalable pricing—so your costs don’t balloon as your data grows. Connect to 250+ enterprise data sources, including: • Salesforce, Microsoft Dynamics, and SAP • SharePoint, NetSuite, Workday, and QuickBooks • ServiceNow, Xero, Sage Intacct, HubSpot, Marketo, Oracle • …and many more Replicate that data into your preferred destinations, such as: • Snowflake, Databricks, SQL Server, Redshift, OneLake, and others Deploy it your way—on-premises, in your own cloud, or in a private-cloud SaaS model. Getting started is simple: 1. Log in 2. Select your source tables 3.Set your sync interval CData Sync handles the rest, using efficient incremental updates that minimize load on your operational systems. The platform includes: • Point-and-click ETL/ELT/reverse ETL • Change Data Capture (CDC) with no elevated database permissions • Complete data control and custom SQL transformations • dbt integration CData Sync centralizes your automated data flows, giving you full control, faster delivery, and the freedom to scale without hidden fees. Download a 30-day free trial of CData Sync or learn more at: www.cdata.com/sync [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-07-16T18%3A08%3A53Z&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=124922&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%2Fenterprise%3Fopen_modal_url%3D%252Fproducts%252Finformatica-data-engineering%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fetl-tools%25252Fenterprise%2526source%253Dcategory&secure%5Btoken%5D=6a7db8da8a824b9f87db2485b06cb6aa3e86ddde4c127ebd83f300d4f21eea1d&secure%5Burl%5D=https%3A%2F%2Fwww.cdata.com%2Fsync%2F&secure%5Burl_type%5D=paid_promos) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,316 **How Do G2 Users Rate Databricks?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Databricks?** - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** https://databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks (92,269 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3477522/ (15,627 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 48% Enterprise, 38% Mid-Market #### What Are Databricks's Pros and Cons? **Pros:** - Features (192 reviews) - Ease of Use (154 reviews) - Integrations (141 reviews) - Collaboration (114 reviews) - Analytics (112 reviews) **Cons:** - Learning Curve (78 reviews) - Expensive (71 reviews) - Steep Learning Curve (64 reviews) - Complexity (45 reviews) - Complex Setup (35 reviews) ### What Do G2 Reviewers Say About Databricks? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use and comprehensive features** of Databricks, enhancing their data processing and machine learning tasks. - Users commend the **ease of use** of Databricks, enhancing their experience with efficient data management and integration. - Users value the **seamless integrations** of Databricks with AWS and various tools, enhancing their organizational capabilities. - Users value the **seamless collaboration** capabilities of Databricks, enhancing teamwork on data projects and insights sharing. - Users appreciate the **wide array of integrated analytical features** in Databricks, enhancing collaborative data insights and performance. **Cons:** - Users face a steep **learning curve** with Databricks due to its complex permissions and compute modes. - Users find the **costs of Databricks to be high** , especially when working with large datasets. - Users find the **steep learning curve** of Databricks challenging, particularly for newcomers to big data tools. - Users find the **complexity** of Databricks challenging, particularly during initial setup and with advanced features. - Users find the **complex setup** of Databricks challenging initially, but support helps in overcoming hurdles quickly. #### What Are Recent G2 Reviews of Databricks? **"[Helpful for Managing and Analyzing Operational Data](https://www.g2.com/survey_responses/databricks-review-13090803)"** **Rating:** 4.5/5.0 stars *— Vishaka C.* [Read full review](https://www.g2.com/survey_responses/databricks-review-13090803) --- **"[Streamlined Legal Workflow with Databricks](https://www.g2.com/survey_responses/databricks-review-13090519)"** **Rating:** 5.0/5.0 stars *— Pranjal S.* [Read full review](https://www.g2.com/survey_responses/databricks-review-13090519) --- #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### 2. [Alteryx](https://www.g2.com/products/alteryx/reviews) Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 845 **How Do G2 Users Rate Alteryx?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.7/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Alteryx?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** https://www.alteryx.com - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx (26,149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,304 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Financial Services, Accounting - **Company Size:** 63% Enterprise, 21% Mid-Market #### What Are Alteryx's Pros and Cons? **Pros:** - Ease of Use (333 reviews) - Automation (148 reviews) - Intuitive (132 reviews) - Easy Learning (102 reviews) - Efficiency (102 reviews) **Cons:** - Expensive (88 reviews) - Learning Curve (80 reviews) - Missing Features (62 reviews) - Learning Difficulty (55 reviews) - Slow Performance (41 reviews) ### What Do G2 Reviewers Say About Alteryx? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Alteryx, making data manipulation simple and accessible for everyone. - Users appreciate the **efficient automation** in Alteryx, significantly speeding up their data preparation and analysis tasks. - Users find Alteryx to be **very intuitive** , making technology accessible and easy to learn for everyone. - Users find Alteryx to be **easy to learn and use** , with intuitive tools that enhance workflow efficiency. - Users value the **efficiency** of Alteryx, effortlessly managing and processing data for streamlined analysis. **Cons:** - Users find Alteryx's licensing to be **expensive** , especially challenging for small teams and startups to justify costs. - Users note a **learning curve** for mastering advanced features, which can be challenging for beginners. - Users feel the **missing features** in Alteryx hinder performance, requiring additional tools like Tableau for effective reporting. - Users note a **steep learning curve** for Alteryx, particularly those accustomed to hardcore SQL practices. - Users report that **slow performance** with large workflows hampers analysis and complicates data wrangling tasks. #### What Are Recent G2 Reviews of Alteryx? **"[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)"** **Rating:** 4.5/5.0 stars *— Ankit K.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-13000974) --- **"[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)"** **Rating:** 4.5/5.0 stars *— Akhil S.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12983224) --- ### 3. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,144 **How Do G2 Users Rate Google Cloud BigQuery?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Google Cloud BigQuery?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Enterprise, 35% Mid-Market #### What Are Google Cloud BigQuery's Pros and Cons? **Pros:** - Ease of Use (129 reviews) - Speed (126 reviews) - Integrations (110 reviews) - Fast Querying (105 reviews) - Query Efficiency (100 reviews) **Cons:** - Expensive (112 reviews) - Query Issues (65 reviews) - Cost Management (52 reviews) - Cost Issues (51 reviews) - Learning Curve (49 reviews) ### What Do G2 Reviewers Say About Google Cloud BigQuery? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Google Cloud BigQuery, enabling seamless analysis of large datasets without infrastructure hassles. - Users appreciate the **fast processing speed** of BigQuery, enabling efficient handling of large datasets seamlessly. - Users appreciate the **seamless integrations** of Google Cloud BigQuery with other services, enhancing overall usability and functionality. - Users appreciate the **fast querying** capabilities of BigQuery, enabling effortless analysis of massive datasets with minimal management. - Users value the **query efficiency** of BigQuery, appreciating its ability to process complex queries seamlessly and quickly. **Cons:** - Users find BigQuery to be **expensive** due to escalating costs from inefficient queries and complex data operations. - Users find **query issues** in BigQuery challenging, especially regarding cost management for complex queries and lack of transparency. - Users face **dramatic cost management issues** due to unpredictable pricing and challenges in budget control and governance. - Users experience **cost issues** with BigQuery, as rapid bill spikes and optimization challenges complicate budget management. - Users often find the **steep learning curve** of Google Cloud BigQuery a challenge for mastering advanced features. #### What Are Recent G2 Reviews of Google Cloud BigQuery? **"[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)"** **Rating:** 4.0/5.0 stars *— Reetika P.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418) --- **"[Scalable, Secure BigQuery That Connects Seamlessly Across Services](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)"** **Rating:** 5.0/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747) --- #### What Are G2 Users Discussing About Google Cloud BigQuery? - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment - [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment ### 4. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration. **Average Rating:** 4.0/5.0 **Total Reviews:** 115 **How Do G2 Users Rate IBM StreamSets?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 7.7/10 (Category avg: 9.0/10) - **Scalability:** 7.6/10 (Category avg: 8.7/10) - **Auditing:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM StreamSets?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 33% Mid-Market #### What Are IBM StreamSets's Pros and Cons? **Pros:** - Ease of Use (30 reviews) - User Interface (16 reviews) - Data Management (15 reviews) - Data Pipelining (15 reviews) - Integrations (14 reviews) **Cons:** - Learning Curve (13 reviews) - Expensive (10 reviews) - Learning Difficulty (8 reviews) - Slow Performance (8 reviews) - Steep Learning Curve (8 reviews) ### What Do G2 Reviewers Say About IBM StreamSets? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of IBM StreamSets, enabling quick and intuitive data pipeline creation and management. - Users value the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging efficiency. - Users find IBM StreamSets to provide **effective data management** for easy creation, monitoring, and transformation of data pipelines. - Users appreciate the **simplicity of data integration workflows** with IBM StreamSets, enhancing the ease of building and deploying pipelines. - Users appreciate the **wide range of integrations** offered by IBM StreamSets, enhancing data handling across systems. **Cons:** - Users face a **steep learning curve** , particularly with advanced features, requiring substantial technical knowledge and experience. - Users note the software is **expensive** and may not be ideal for smaller teams due to high costs. - Users struggle with **learning difficulties** in StreamSets, particularly with advanced features and unclear documentation complicating their onboarding. - Users experience **slow performance** with IBM StreamSets, especially when processing large data volumes or complex pipelines. - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. #### What Are Recent G2 Reviews of IBM StreamSets? **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) - [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free) - [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment ### 5. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies. **Average Rating:** 4.6/5.0 **Total Reviews:** 95 **How Do G2 Users Rate Azure Data Factory?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.1/10 (Category avg: 8.7/10) - **Auditing:** 8.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Azure Data Factory?** - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft (13,091,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®) - **Ownership:** MSFT **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 60% Enterprise, 30% Mid-Market #### What Are Azure Data Factory's Pros and Cons? **Pros:** - Data Integration (7 reviews) - Ease of Use (7 reviews) - Connectors (6 reviews) - Integrations (6 reviews) - Scalability (5 reviews) **Cons:** - Debugging Difficulty (5 reviews) - Difficult Debugging (4 reviews) - Expensive (4 reviews) - Feature Limitations (4 reviews) - Complexity (3 reviews) ### What Do G2 Reviewers Say About Azure Data Factory? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **easy orchestration of complex data integration** workflows with Azure Data Factory's low-code interface and automation features. - Users find the **ease of use** in Azure Data Factory essential for efficiently managing complex data integrations. - Users value the **ease of connecting multiple data sources** with Azure Data Factory, streamlining data integration and management. - Users appreciate the **seamless integrations** of Azure Data Factory, making data movement and orchestration simple and efficient. - Users value the **scalability** of Azure Data Factory, effortlessly managing growing data integration needs and workflows. **Cons:** - Users find **debugging difficult** in Azure Data Factory, especially with complex pipelines and limited troubleshooting tools. - Users find **difficult debugging** a major flaw in Azure Data Factory, leading to frustrating experiences with complex pipelines. - Users find Azure Data Factory **expensive** to manage, with costs quickly escalating if not carefully monitored. - Users find Azure Data Factory has **feature limitations** that hinder complex transformations and integration with Power BI. - Users find Azure Data Factory's **complexity and limitations** challenging, particularly in debugging and managing intricate workflows. #### What Are Recent G2 Reviews of Azure Data Factory? **"[Intuitive, Scalable Data Integration with Azure Data Factory](https://www.g2.com/survey_responses/azure-data-factory-review-12454264)"** **Rating:** 4.5/5.0 stars *— Alan R.* [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12454264) --- **"[Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users](https://www.g2.com/survey_responses/azure-data-factory-review-12746463)"** **Rating:** 4.5/5.0 stars *— Shyam s.* [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12746463) --- #### What Are G2 Users Discussing About Azure Data Factory? - [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) - 2 comments - [What are the additional capabilities of data Factory?](https://www.g2.com/discussions/what-are-the-additional-capabilities-of-data-factory) - [Which 3 types of activities can you run in Microsoft Azure data Factory?](https://www.g2.com/discussions/which-3-types-of-activities-can-you-run-in-microsoft-azure-data-factory) - [What does Azure data/factory do?](https://www.g2.com/discussions/what-does-azure-data-factory-do) ### 6. [AWS Glue](https://www.g2.com/products/aws-glue/reviews) AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. **Average Rating:** 4.3/5.0 **Total Reviews:** 194 **How Do G2 Users Rate AWS Glue?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 8.9/10 (Category avg: 8.7/10) - **Auditing:** 8.7/10 (Category avg: 8.1/10) **Who Is the Company Behind AWS Glue?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 49% Enterprise, 29% Mid-Market #### What Are AWS Glue's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Data Integration (3 reviews) - ETL Solutions (3 reviews) - Features (3 reviews) - Simple (3 reviews) **Cons:** - Slow Performance (3 reviews) - Debugging Difficulty (2 reviews) - Difficult Debugging (2 reviews) - Performance Issues (2 reviews) - Time-Consuming (2 reviews) ### What Do G2 Reviewers Say About AWS Glue? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of AWS Glue, finding it simple for data preparation and analytics. - Users appreciate the **seamless data integration** capabilities of AWS Glue, simplifying analytics and application development. - Users value the **fully managed ETL service** of AWS Glue, appreciating seamless integration and ease of use. - Users love AWS Glue for its **ease of data preparation and rich functionality** for analytics and machine learning. - Users find AWS Glue **easy to implement** , facilitating seamless data integration and error tracing in scripts. **Cons:** - Users experience **slow performance** with AWS Glue, particularly during job startup and debugging processes, impacting efficiency. - Users face **difficulties with debugging** in AWS Glue, often due to unclear error messages and complex processes. - Users find **difficult debugging** with AWS Glue due to unclear error messages and lengthy start-up times. - Users experience **performance issues** with AWS Glue, including slow start-up times and challenging debugging processes. - Users experience a **time-consuming startup process** with AWS Glue, which can delay overall workflow efficiency. #### What Are Recent G2 Reviews of AWS Glue? **"[Serverless ETL Made Easy with AWS Glue](https://www.g2.com/survey_responses/aws-glue-review-12864874)"** **Rating:** 5.0/5.0 stars *— mani s.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12864874) --- **"[AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration](https://www.g2.com/survey_responses/aws-glue-review-12380790)"** **Rating:** 4.5/5.0 stars *— Pradip G.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12380790) --- #### What Are G2 Users Discussing About AWS Glue? - [What is AWS Glue and how it works?](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works) - 1 comment - [What does AWS Glue do?](https://www.g2.com/discussions/what-does-aws-glue-do) - 2 comments - [What are the main components of AWS Glue?](https://www.g2.com/discussions/what-are-the-main-components-of-aws-glue) - 2 comments - [What are the features of glue?](https://www.g2.com/discussions/what-are-the-features-of-glue) - 1 comment ### 7. [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial **Average Rating:** 4.4/5.0 **Total Reviews:** 159 **How Do G2 Users Rate IBM watsonx.data?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 5.8/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM watsonx.data?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 34% Small-Business, 32% Enterprise #### What Are IBM watsonx.data's Pros and Cons? **Pros:** - Ease of Use (67 reviews) - Features (47 reviews) - Data Management (41 reviews) - Integrations (33 reviews) - Analytics (31 reviews) **Cons:** - Learning Curve (38 reviews) - Complexity (25 reviews) - Expensive (20 reviews) - Difficult Setup (17 reviews) - Difficulty (17 reviews) ### What Do G2 Reviewers Say About IBM watsonx.data? *AI-generated summary from verified user reviews* **Pros:** - Users admire the **ease of use** of IBM watsonx.data, streamlining data management and enhancing analytics efficiency. - Users value the **seamless integration** of data types and features in IBM watsonx.data, enhancing their analytics experience. - Users value the **organized data management** of IBM watsonx.data, streamlining workflow and improving efficiency across various tasks. - Users value the **seamless data source integration** of IBM watsonx.data, enhancing overall efficiency and usability. - Users value the **unification of data across hybrid environments** , enhancing flexibility and decision-making for AI applications. **Cons:** - Users face a **steep learning curve** with IBM watsonx.data, making initial setup and navigation challenging for newcomers. - Users find the **complexity of setup and management** for IBM watsonx.data a barrier to accessibility for new users. - Users find the **pricing to be high** compared to other options, making it less accessible for smaller businesses. - Users face a **difficult setup** process with IBM watsonx.data, requiring time and effort to configure and integrate properly. - Users find the **difficulty in performance tuning** with IBM watsonx.data challenging, especially for beginners and inexperienced teams. #### What Are Recent G2 Reviews of IBM watsonx.data? **"[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202) --- **"[Unified Data Management with Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)"** **Rating:** 5.0/5.0 stars *— Anchal P.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742) --- ### 8. [Domo](https://www.g2.com/products/domo/reviews) Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. **Average Rating:** 4.3/5.0 **Total Reviews:** 1,019 **How Do G2 Users Rate Domo?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (Category avg: 9.0/10) - **Scalability:** 7.9/10 (Category avg: 8.7/10) - **Auditing:** 7.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Domo?** - **Seller:** [Domo](https://www.g2.com/sellers/domo) - **Company Website:** https://www.domo.com - **Year Founded:** 2010 - **HQ Location:** American Fork, UT - **Twitter:** @Domotalk (63,513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,299 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 49% Mid-Market, 29% Enterprise #### What Are Domo's Pros and Cons? **Pros:** - Ease of Use (247 reviews) - Data Visualization (116 reviews) - Intuitive (95 reviews) - Easy Integrations (92 reviews) - Integrations (88 reviews) **Cons:** - Learning Curve (66 reviews) - Missing Features (59 reviews) - Data Management Issues (55 reviews) - Expensive (44 reviews) - Complexity (43 reviews) ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Domo, making data management accessible for everyone, even the less tech-savvy. - Users value the **flexible dashboards** of Domo, which simplify data visualization and enhance decision-making efficiency. - Users highlight the **intuitive design** of Domo, making data management accessible for everyone, even non-tech-savvy users. - Users love the **easy integrations** of Domo, which streamline data management and enhance collaboration across platforms. - Users value Domo's **seamless integration** with diverse data sources, enhancing data management and decision-making efficiency. **Cons:** - Users find the **learning curve steep** , needing extra effort to manage updates and navigate functionalities effectively. - Users express concern over **missing features** like flexible pivot charts and unclear pricing models, impacting usability. - Users face **data management issues** with Domo, citing unreliable connectors and difficulties in report generation and licensing. - Users express frustration with Domo's **expensive pricing hikes** , particularly sudden increases that strain long-term customer relationships. - Users find Domo's **complexity** challenging, with rigid data structures and cumbersome processes hindering efficiency and adaptability. #### What Are Recent G2 Reviews of Domo? **"[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)"** **Rating:** 5.0/5.0 stars *— Karthik S.* [Read full review](https://www.g2.com/survey_responses/domo-review-13032278) --- **"[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)"** **Rating:** 5.0/5.0 stars *— Karthik M.* [Read full review](https://www.g2.com/survey_responses/domo-review-13093007) --- #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) - [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good) - [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do) ### 9. [Workato](https://www.g2.com/products/workato/reviews) Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise. **Average Rating:** 4.7/5.0 **Total Reviews:** 748 **How Do G2 Users Rate Workato?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Workato?** - **Seller:** [Workato](https://www.g2.com/sellers/workato) - **Company Website:** https://www.workato.com - **Year Founded:** 2013 - **HQ Location:** Mountain View, California - **Twitter:** @Workato (3,641 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3675685 (1,401 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Mid-Market, 33% Enterprise #### What Are Workato's Pros and Cons? **Pros:** - Ease of Use (240 reviews) - Easy Integrations (173 reviews) - Integrations (171 reviews) - Features (156 reviews) - Automation (149 reviews) **Cons:** - Complexity (70 reviews) - Learning Curve (58 reviews) - Data Limitations (55 reviews) - Missing Features (55 reviews) - Steep Learning Curve (48 reviews) ### What Do G2 Reviewers Say About Workato? *AI-generated summary from verified user reviews* **Pros:** - Users find Workato's **ease of use** exceptional, simplifying automation processes even for those without technical expertise. - Users find the **easy integrations** of Workato greatly simplify automation, saving time and boosting productivity. - Users appreciate the **ease of integrating applications** with Workato, simplifying complex workflows and saving valuable time. - Users value the **user-friendly design** of Workato, enhancing efficiency in automating complex business processes seamlessly. - Users love the **ease of automation** with Workato, enabling seamless integrations and saving valuable time on repetitive tasks. **Cons:** - Users often find the **complexity** of Workato's features and pricing structure challenging, especially for beginners. - Users find the **learning curve steep** due to complex workflows and confusing onboarding, which can be overwhelming. - Users find **data limitations** in Workato restrictive, especially regarding email caps and file size constraints. - Users find **missing features** in Workato, especially with limited connectors and restrictions on email sends, challenging. - Users find the **steep learning curve** of Workato overwhelming, especially during the challenging onboarding process. #### What Are Recent G2 Reviews of Workato? **"[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)"** **Rating:** 5.0/5.0 stars *— Sreenath B.* [Read full review](https://www.g2.com/survey_responses/workato-review-10305521) --- **"[The Platform That Grew With Us](https://www.g2.com/survey_responses/workato-review-12941177)"** **Rating:** 5.0/5.0 stars *— Anshu b.* [Read full review](https://www.g2.com/survey_responses/workato-review-12941177) --- #### What Are G2 Users Discussing About Workato? - [What does Workato do?](https://www.g2.com/discussions/what-does-workato-do) - [How much does Workato cost?](https://www.g2.com/discussions/how-much-does-workato-cost) - 1 comment - [What is a Workato recipe?](https://www.g2.com/discussions/what-is-a-workato-recipe) - 3 comments - [What is Workato used for?](https://www.g2.com/discussions/what-is-workato-used-for) ### 10. [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies. **Average Rating:** 4.7/5.0 **Total Reviews:** 120 **How Do G2 Users Rate Boomi Data Integration?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Boomi Data Integration?** - **Seller:** [Boomi](https://www.g2.com/sellers/boomi) - **Year Founded:** 2000 - **HQ Location:** Conshohocken, PA - **Twitter:** @boomi (101,014 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/boomi-inc/ (3,024 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Mid-Market, 36% Small-Business #### What Are Boomi Data Integration's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Customer Support (4 reviews) - Data Management (4 reviews) - Automation (3 reviews) - Implementation Ease (3 reviews) **Cons:** - Data Limitations (1 reviews) - Information Deficiency (1 reviews) - Insufficient Information (1 reviews) - Lacking Features (1 reviews) - Limited Features (1 reviews) ### What Do G2 Reviewers Say About Boomi Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of Boomi Data Integration, making it easy to learn and implement. - Users praise the **excellent customer support** from Boomi Data Integration, aiding successful implementation and ongoing assistance. - Users value the **comprehensive data connectors** in Boomi Data Integration, simplifying integration and enhancing analysis capabilities. - Users value the **automation capabilities** of Boomi Data Integration, making data workflows efficient and user-friendly. - Users find Boomi Data Integration to be **easy to implement** , streamlining their workflows with excellent customer support. **Cons:** - Users face **data limitations** with Boomi Data Integration, often struggling with missing documentation and incomplete report fields. - Users often face **information deficiency** , encountering missing documentation and unavailable fields when connecting to data sources. - Users often face **insufficient information** , resulting in difficulties when connecting to various data sources. - Users find Boomi Data Integration **lacking features** , as missing documentation and incomplete reports often lead to alternative solutions. - Users experience **limited features** with Boomi Data Integration, facing issues with missing documentation and incomplete data fields. #### What Are Recent G2 Reviews of Boomi Data Integration? **"[Actual review of ELT Tool Rivery](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408)"** **Rating:** 5.0/5.0 stars *— Amit K.* [Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408) --- **"[Boomi Data Integration: Fast, Reliable Integrations at Scale](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768)"** **Rating:** 5.0/5.0 stars *— Takkellapati S.* [Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768) --- #### What Are G2 Users Discussing About Boomi Data Integration? - [What advice do you have for others considering Rivery for data integration and pipeline management?](https://www.g2.com/discussions/what-advice-do-you-have-for-others-considering-rivery-for-data-integration-and-pipeline-management) - [What is the use of Rivery?](https://www.g2.com/discussions/what-is-the-use-of-rivery) - 2 comments - [How much does Rivery cost?](https://www.g2.com/discussions/how-much-does-rivery-cost) - 1 comment - [What does Rivery do?](https://www.g2.com/discussions/what-does-rivery-do) - 1 comment ### 11. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise. **Average Rating:** 4.4/5.0 **Total Reviews:** 373 **How Do G2 Users Rate SnapLogic Intelligent Integration Platform (IIP)?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.6/10 (Category avg: 9.0/10) - **Scalability:** 8.4/10 (Category avg: 8.7/10) - **Auditing:** 8.1/10 (Category avg: 8.1/10) **Who Is the Company Behind SnapLogic Intelligent Integration Platform (IIP)?** - **Seller:** [SnapLogic](https://www.g2.com/sellers/snaplogic) - **Company Website:** https://www.snaplogic.com - **Year Founded:** 2006 - **HQ Location:** San Mateo, CA - **Twitter:** @SnapLogic (7,348 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/210766/ (307 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Enterprise, 36% Mid-Market #### What Are SnapLogic Intelligent Integration Platform (IIP)'s Pros and Cons? **Pros:** - Ease of Use (77 reviews) - Easy Integrations (62 reviews) - Integrations (48 reviews) - User Interface (47 reviews) - Automation (40 reviews) **Cons:** - Performance Issues (29 reviews) - Technical Difficulties (22 reviews) - Poor Performance (21 reviews) - Complexity (20 reviews) - Error Reporting (20 reviews) ### What Do G2 Reviewers Say About SnapLogic Intelligent Integration Platform (IIP)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in SnapLogic, enabling quick and efficient completion of integration tasks. - Users value the **easy integrations** of SnapLogic, enhancing efficiency with low-code pipeline building and user-friendly interfaces. - Users value the **seamless integrations** of SnapLogic IIP, appreciating its ease of use and efficiency across systems. - Users value the **user-friendly interface** of SnapLogic, making integration and task completion seamless and efficient. - Users value the **automation capabilities** of SnapLogic IIP, greatly enhancing efficiency and allowing focus on high-value tasks. **Cons:** - Users report **performance issues** with SnapLogic, especially under heavy workloads and during error debugging. - Users face **technical difficulties** with debugging and load balancing, impacting performance and reliability during heavy workloads. - Users face **poor performance** when handling large data volumes, leading to frustration and inefficient workflows. - Users find the **complexity in understanding Snaps** and tracing pipeline errors can hinder their integration experience. - Users experience **unclear error reporting** , leading to difficulties in debugging and managing large data flows effectively. #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **"[SnapLogic Snaps Make No-Code Data Integration Simple and Powerful](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13058311)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13058311) --- **"[Effortless Integration, Minor Long-Run Hiccups](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-10786237)"** **Rating:** 4.0/5.0 stars *— Sayeedul R.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-10786237) --- #### What Are G2 Users Discussing About SnapLogic Intelligent Integration Platform (IIP)? - [What is SnapLogic Intelligent Integration Platform (IIP) used for?](https://www.g2.com/discussions/what-is-snaplogic-intelligent-integration-platform-iip-used-for) - 1 comment ### 12. [Celigo](https://www.g2.com/products/celigo/reviews) Celigo is the intelligent automation platform built for the AI era. An enterprise-ready iPaaS, Celigo helps organizations unify applications, automate complex operations, and scale digital ecosystems. The platform supports cloud integration, SaaS integration, enterprise application integration, and agentic automation under a single governance model. The platform is accessible to both business teams and developers — anyone can build, configure, and maintain integrations through natural language, while technical teams retain full control over architecture, security, and extensibility. Through an extensive library of 1,000+ prebuilt connectors, organizations can rapidly integrate systems such as ERP, CRM, ecommerce, finance, and support platforms — including NetSuite, Salesforce, SAP, Microsoft Dynamics, and Shopify — while maintaining flexibility for custom integrations and advanced API management. Celigo supports a wide range of enterprise integration scenarios including ERP integration, CRM integration, B2B integration, and EDI (electronic data interchange) workflows. These capabilities allow organizations to streamline supplier, partner, and customer data exchange while ensuring reliable data integration across internal and external systems. Built-in tools for data mapping, data transformation, and data synchronization ensure that information moves accurately and consistently between applications. What sets Celigo apart is its ability to span the full spectrum of automation — from deterministic, rules-based workflows to AI-driven decision-making — without requiring separate platforms or governance models. Celigo Agent Builder enables teams to create AI agents that reason and act across enterprise systems, with configurable guardrails that enforce business policy at runtime. Human-in-the-loop approvals ensure sensitive actions require explicit authorization before execution, and complete audit trails support compliance across every AI interaction. Celigo's MCP Server exposes enterprise capabilities through the Model Context Protocol, giving any AI agent — built inside Celigo or externally — secure, governed, auditable access to the full enterprise tech stack. This makes Celigo a foundational layer for enterprise AI orchestration, enabling organizations to connect external agents to internal systems without sacrificing control or visibility. Celigo Ora, the platform's natural language interface, makes the entire platform accessible through conversation. Anyone — including business teams without technical training — can build, modify, troubleshoot, and maintain integrations and automations by describing what they need in plain language. This eliminates the specialist bottleneck not just for building automations, but for ongoing maintenance and issue resolution as well. To accelerate deployment, Celigo offers fully managed Integration Apps and reusable integration templates that simplify common use cases such as order-to-cash automation, ecommerce integrations, and financial data flows. Centralized monitoring, runtime governance controls, and scalable architecture give enterprises full visibility into integration and automation processes while maintaining reliability and compliance. Designed for modern IT and operations teams, Celigo empowers enterprises to unify integration, automation, and AI on a single platform — scaling capacity without scaling headcount, and building a durable foundation for digital transformation across the entire application landscape. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,035 **How Do G2 Users Rate Celigo?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Celigo?** - **Seller:** [Celigo](https://www.g2.com/sellers/celigo) - **Company Website:** https://www.celigo.com - **Year Founded:** 2011 - **HQ Location:** Redwood City, California - **Twitter:** @celigoinc (1,418 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/275831/ (786 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** NetSuite Administrator, IT Manager - **Top Industries:** Retail, Consumer Goods - **Company Size:** 58% Mid-Market, 37% Small-Business #### What Are Celigo's Pros and Cons? **Pros:** - Ease of Use (469 reviews) - Integrations (297 reviews) - Integration Capabilities (285 reviews) - Easy Integrations (252 reviews) - Customer Support (220 reviews) **Cons:** - Error Handling (107 reviews) - Expensive (95 reviews) - Learning Curve (91 reviews) - Complexity (69 reviews) - Pricing Issues (69 reviews) ### What Do G2 Reviewers Say About Celigo? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Celigo, allowing smooth integration even for those with limited technical skills. - Users value the **ease of integration** with Celigo, praising its user-friendly interface and extensive prebuilt solutions. - Users value the **integration capabilities** of Celigo, enabling seamless API connections and improved operational efficiency. - Users appreciate the **easy integrations** with Celigo, facilitating seamless connections between systems and enhancing functionality. - Users value the **helpful and thorough customer support** from Celigo, enhancing their integration and customization experience. **Cons:** - Users find that **error handling can be a challenge** , often facing unclear messages and unresolved issues. - Users note that Celigo's **premium pricing** can escalate, potentially straining budgets for expanding businesses. - Users note a challenging **learning curve** due to non-intuitive visualization and limited customization, despite helpful support resources. - Users find the **complexity** of Celigo challenging, particularly with vague error messages and convoluted data handling. - Users note the **premium pricing** of Celigo, which can lead to confusion over licensing and ownership costs. #### What Are Recent G2 Reviews of Celigo? **"[Best Ipaas system so far.](https://www.g2.com/survey_responses/celigo-review-13115047)"** **Rating:** 5.0/5.0 stars *— rampratap k.* [Read full review](https://www.g2.com/survey_responses/celigo-review-13115047) --- **"[Seamless Integration with Exceptional Support](https://www.g2.com/survey_responses/celigo-review-1996577)"** **Rating:** 5.0/5.0 stars *— Steve B.* [Read full review](https://www.g2.com/survey_responses/celigo-review-1996577) --- #### What Are G2 Users Discussing About Celigo? - [What is Celigo used for?](https://www.g2.com/discussions/what-is-celigo-used-for) ### 13. [Maia](https://www.g2.com/products/matillion-maia/reviews) Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself. **Average Rating:** 4.5/5.0 **Total Reviews:** 120 **How Do G2 Users Rate Maia?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.7/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Maia?** - **Seller:** [Matillion](https://www.g2.com/sellers/matillion) - **Company Website:** https://www.matillion.com - **Year Founded:** 2011 - **HQ Location:** Salford, GB - **Twitter:** @matillion (7,362 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2360297/ (463 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 31% Enterprise #### What Are Maia's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Automation (5 reviews) - Simple (5 reviews) - User Interface (5 reviews) - ETL Efficiency (4 reviews) **Cons:** - Feature Limitations (9 reviews) - Expensive (4 reviews) - Limitations (4 reviews) - Cloud Dependency (3 reviews) - API Issues (2 reviews) ### What Do G2 Reviewers Say About Maia? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Maia, finding it simple to configure and understand, even for beginners. - Users value the **automation capabilities** of Matillion, which streamline ETL processes and enhance user experience. - Users value the **simple and user-friendly interface** of Matillion, aiding new users in seamless configuration and workflows. - Users appreciate the **intuitive and user-friendly interface** of Matillion, simplifying complex tasks for all experience levels. - Users value the **ETL efficiency** of Maia, appreciating its user-friendly design and seamless cloud integration. **Cons:** - Users face **feature limitations** with Maia, including performance issues and challenges in creating reusable templates. - Users find Maia to be **expensive** , especially as data volume increases and usage requires careful management. - Users experience **job performance issues** with Jython and single-thread workflows, noting clunky components and feature gaps. - Users are concerned about **cloud dependency** which limits flexibility and can lead to escalating costs at scale. - Users highlight the **API limitations** of Maia, particularly in accessing administrative features and pulling raw data efficiently. #### What Are Recent G2 Reviews of Maia? **"[Maia Makes Onboarding Fast with an Intuitive UI and Low-Code Pipelines](https://www.g2.com/survey_responses/maia-review-12942268)"** **Rating:** 4.5/5.0 stars *— Anthony S.* [Read full review](https://www.g2.com/survey_responses/maia-review-12942268) --- **"[Maia Scaled 800+ Pipeline Migrations Without Added Overhead](https://www.g2.com/survey_responses/maia-review-12920298)"** **Rating:** 5.0/5.0 stars *— Keith G.* [Read full review](https://www.g2.com/survey_responses/maia-review-12920298) --- #### What Are G2 Users Discussing About Maia? - [What is Matillion ETL used for?](https://www.g2.com/discussions/what-is-matillion-etl-used-for) - 1 comment - [What is Matillion Data Loader used for?](https://www.g2.com/discussions/what-is-matillion-data-loader-used-for) - [What are ETL tools used for?](https://www.g2.com/discussions/what-are-etl-tools-used-for) - [Is Matillion open source?](https://www.g2.com/discussions/is-matillion-open-source) - [What is ETL in software?](https://www.g2.com/discussions/what-is-etl-in-software) ### 14. [Fivetran](https://www.g2.com/products/fivetran/reviews) Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events and files into a high-performance cloud warehouse. Fivetran connectors deploy in minutes, require zero maintenance, and automatically adjust to source changes — so your data team can stop worrying about engineering and focus on driving insights. **Average Rating:** 4.3/5.0 **Total Reviews:** 782 **How Do G2 Users Rate Fivetran?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 7.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Fivetran?** - **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran) - **Company Website:** https://www.fivetran.com/ - **Year Founded:** 2012 - **HQ Location:** Oakland, CA - **Twitter:** @fivetran (5,767 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,848 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Mid-Market, 28% Small-Business #### What Are Fivetran's Pros and Cons? **Pros:** - Ease of Use (187 reviews) - Easy Setup (74 reviews) - Easy Integration (73 reviews) - Customer Support (62 reviews) - User Interface (59 reviews) **Cons:** - Sync Issues (60 reviews) - Expensive (36 reviews) - Integration Issues (28 reviews) - Learning Curve (27 reviews) - Pricing Issues (24 reviews) ### What Do G2 Reviewers Say About Fivetran? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Fivetran, enjoying seamless integration and efficient maintenance. - Users value the **easy setup** of Fivetran, appreciating its seamless integration with existing applications. - Users appreciate the **easy integration** of Fivetran with existing applications, streamlining data workflows effortlessly. - Users value the **responsive customer support** from Fivetran, enhancing their overall experience with the product. - Users value the **intuitive and simple layout** of Fivetran, enhancing their data integration experience effortlessly. **Cons:** - Users experience **sync issues** that lead to sporadic failures and challenges in managing dbt dependencies effectively. - Users find Fivetran's **pricing to be quite expensive** , limiting accessibility and flexibility for broader usage. - Users face **integration issues** with Fivetran, particularly around permissions and connector modifications, affecting overall functionality. - Users find the **learning curve steep** , requiring technical knowledge to navigate and run complex queries effectively. - Users feel Fivetran's **pricing is expensive** and would benefit from more flexible options for accessibility. #### What Are Recent G2 Reviews of Fivetran? **"[Simple Setup, Reliable Syncing, and Powerful Pre-Built Connectors](https://www.g2.com/survey_responses/fivetran-review-12945842)"** **Rating:** 4.5/5.0 stars *— Luciana S.* [Read full review](https://www.g2.com/survey_responses/fivetran-review-12945842) --- **"[Trouble-Free Data Pipelines with Effortless Connections to Nearly Every Service](https://www.g2.com/survey_responses/fivetran-review-12999542)"** **Rating:** 5.0/5.0 stars *— Verified User in Insurance* [Read full review](https://www.g2.com/survey_responses/fivetran-review-12999542) --- #### What Are G2 Users Discussing About Fivetran? - [What is Fivetran used for?](https://www.g2.com/discussions/fivetran-what-is-fivetran-used-for) - 1 comment - [What is Census used for?](https://www.g2.com/discussions/what-is-census-used-for) - [Who owns Fivetran?](https://www.g2.com/discussions/who-owns-fivetran) - [How much does Fivetran cost?](https://www.g2.com/discussions/how-much-does-fivetran-cost) - 1 comment - [Is Fivetran an ETL tool?](https://www.g2.com/discussions/is-fivetran-an-etl-tool) - 2 comments ### 15. [dbt](https://www.g2.com/products/dbt/reviews) dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. **Average Rating:** 4.7/5.0 **Total Reviews:** 208 **How Do G2 Users Rate dbt?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind dbt?** - **Seller:** [dbt Labs](https://www.g2.com/sellers/dbt-labs) - **Year Founded:** 2016 - **HQ Location:** Philadelphia, US - **Twitter:** @getdbt (14,792 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dbtlabs/ (874 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Analytics Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 56% Mid-Market, 27% Small-Business #### What Are dbt's Pros and Cons? **Pros:** - Ease of Use (38 reviews) - Features (22 reviews) - Automation (19 reviews) - Transformation (17 reviews) - Integrations (15 reviews) **Cons:** - Limited Functionality (14 reviews) - Dependency Issues (12 reviews) - Steep Learning Curve (10 reviews) - Error Handling (9 reviews) - Error Reporting (9 reviews) ### What Do G2 Reviewers Say About dbt? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of dbt, appreciating its intuitive design and seamless integration with existing workflows. - Users value dbt for its **software engineering best practices** , ensuring maintainable SQL transformations and efficient collaboration. - Users appreciate dbt for its ability to **automate data workflows** , enhancing efficiency and maintainability in SQL transformations. - Users find dbt's **data transformation capabilities** invaluable, making data modeling and analytics workflow seamless and efficient. - Users value the **seamless integrations** of dbt with various platforms, enhancing their modeling and transformation processes. **Cons:** - Users experience **limited functionality** with dbt, facing challenges with errors that disrupt project progress and debugging. - Users frequently face **dependency issues** in dbt, complicating troubleshooting and hindering progress due to model errors. - Users find dbt has a **steep learning curve** due to the need for mastering Jinja, Git, and managing complexities. - Users often struggle with **vague error messages and unhelpful logs** , making troubleshooting a frustrating experience in dbt. - Users experience **unclear error messages** when models fail, making troubleshooting and identifying issues a frustrating task. #### What Are Recent G2 Reviews of dbt? **"[dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features](https://www.g2.com/survey_responses/dbt-review-12712114)"** **Rating:** 5.0/5.0 stars *— Hithesh P.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12712114) --- **"[Simple SQL-Driven Materializations with Powerful Lineage](https://www.g2.com/survey_responses/dbt-review-12985641)"** **Rating:** 5.0/5.0 stars *— Anish G.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12985641) --- #### What Are G2 Users Discussing About dbt? - [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments - [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments - [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment - [What is DBT tool used for?](https://www.g2.com/discussions/what-is-dbt-tool-used-for) - 2 comments ### 16. [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews) Informatica PowerCenter® helps you unleash the value of your data. It offers a unique end-to-end data integration platform, with a broad set of capabilities to integrate raw, fragmented data from disparate sources, transforming it into complete, high-quality, business-ready information. As your environment grows and matures, PowerCenter scales to meet your expanding business needs, data volumes, and complexity, while providing insights to IT and the business **Average Rating:** 4.3/5.0 **Total Reviews:** 82 **How Do G2 Users Rate Informatica PowerCenter?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.1/10) - **Automation:** 8.6/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 8.6/10 (Category avg: 8.1/10) **Who Is the Company Behind Informatica PowerCenter?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Insurance - **Company Size:** 79% Enterprise, 16% Mid-Market #### What Are Informatica PowerCenter's Pros and Cons? **Pros:** - Automation (3 reviews) - Data Integration (3 reviews) - Ease of Use (3 reviews) - Data Management (2 reviews) - Drag (2 reviews) **Cons:** - Expensive (2 reviews) - Integration Issues (2 reviews) - Cloud Dependency (1 reviews) - Complexity (1 reviews) - Complex Management (1 reviews) ### What Do G2 Reviewers Say About Informatica PowerCenter? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **automation capabilities** of Informatica PowerCenter, simplifying ETL processes and enhancing productivity. - Users appreciate the **robust data integration capabilities** of Informatica PowerCenter, simplifying ETL from diverse sources effortlessly. - Users appreciate the **easy-to-use interface** of Informatica PowerCenter, facilitating efficient ETL processes without extensive coding. - Users value the **easy-to-use interface** of Informatica PowerCenter, which simplifies ETL processes and reduces coding needs. - Users appreciate the **drag-and-drop feature** of Informatica PowerCenter, simplifying ETL processes and enhancing user experience. **Cons:** - Users find Informatica PowerCenter to be **expensive** due to high licensing, maintenance, and resource management costs. - Users find the **integration issues** with cloud platforms challenging, limiting the effectiveness of Informatica PowerCenter. - Users face challenges with **cloud dependency** in Informatica PowerCenter, limiting modern integration and scaling efficiency. - Users find the **complexity of accessing workflow parameters** frustrating, as it involves navigating multiple menus. - Users face **complex management** challenges with Informatica PowerCenter due to resource demands and integration issues. #### What Are Recent G2 Reviews of Informatica PowerCenter? **"[Robust Data Integration with Steep Setup](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)"** **Rating:** 4.0/5.0 stars *— Nihal R.* [Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137) --- **"[Streamlined Data Integration with Intuitive Drag-and-Drop](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)"** **Rating:** 4.5/5.0 stars *— Vallabh P.* [Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255) --- #### What Are G2 Users Discussing About Informatica PowerCenter? - [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/informatica-powercenter-what-is-informatica-powercenter-used-for) - 1 comment - [What are objects in Informatica?](https://www.g2.com/discussions/what-are-objects-in-informatica) - [What is Informatica platform?](https://www.g2.com/discussions/what-is-informatica-platform) - [What are the different components of Informatica PowerCenter?](https://www.g2.com/discussions/what-are-the-different-components-of-informatica-powercenter) - [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/what-is-informatica-powercenter-used-for) ### 17. [FME Platform](https://www.g2.com/products/fme-platform/reviews) FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, or stream processing, FME delivers you no-code business orchestration and automation. All Data Locations - Wherever your data is - in the cloud, on-premises, or both - FME matches your data landscape with processing, increasing scalability, agility, and security. All Data Types - From databases to business systems to IoT, you name it, we connect it. As the only integration platform with support for spatial data, FME delivers new insights so you can make better decisions and stay ahead of the competition. Any AI Technology - Power your workflows with the right data at the right time regardless of modality, location or data velocity. FME powers real-time, context-aware automation, scaling AI where and how you need it. **Average Rating:** 4.6/5.0 **Total Reviews:** 123 **How Do G2 Users Rate FME Platform?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 8.2/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) **Who Is the Company Behind FME Platform?** - **Seller:** [Safe Software](https://www.g2.com/sellers/safe-software) - **Company Website:** https://fme.safe.com/ - **Year Founded:** 1993 - **HQ Location:** British Columbia, Canada - **Twitter:** @SafeSoftware (4,972 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/50027/ (346 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, GIS Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Mid-Market, 30% Small-Business #### What Are FME Platform's Pros and Cons? **Pros:** - Ease of Use (33 reviews) - Data Management (19 reviews) - Automation (18 reviews) - Features (16 reviews) - Data Transformation (15 reviews) **Cons:** - Complexity (10 reviews) - Expensive (10 reviews) - Learning Curve (7 reviews) - Difficult Learning (6 reviews) - Pricing Issues (6 reviews) ### What Do G2 Reviewers Say About FME Platform? *AI-generated summary from verified user reviews* **Pros:** - Users find FME Platform's **user-friendly interface** and visual workflows make data automation enjoyable and efficient. - Users appreciate the **wide range of data handling capabilities** of FME Platform, enhancing integration and automation for workflows. - Users value the **automation capabilities** of FME Platform, enhancing productivity and streamlining complex data workflows efficiently. - Users laud FME Platform's **fast geospatial data processing** and seamless interoperability, enhancing productivity across diverse workflows. - Users benefit from the **flexible data transformation capabilities** of FME Platform, streamlining their data workflows efficiently. **Cons:** - Users find the **complexity of the FME Platform** challenging, especially with its automation and user interface for new users. - Users find the **expensive pricing model** a barrier, especially for smaller teams and individual developers. - Users find the **steep learning curve** of FME Platform challenging, making onboarding new users difficult. - Users face a **steep learning curve** with FME Platform, finding its complexity challenging to navigate effectively. - Users express concerns about **pricing issues** , finding the model expensive and increasingly unpredictable for smaller teams. #### What Are Recent G2 Reviews of FME Platform? **"[Powerful Automation and Workflow with Fast Onboarding](https://www.g2.com/survey_responses/fme-platform-review-13115305)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-13115305) --- **"[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)"** **Rating:** 4.5/5.0 stars *— Denise G.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12863747) --- #### What Are G2 Users Discussing About FME Platform? - [What does FME stand for in FME Server?](https://www.g2.com/discussions/what-does-fme-stand-for-in-fme-server) - [Is FME an ETL?](https://www.g2.com/discussions/is-fme-an-etl) - [What is FME process?](https://www.g2.com/discussions/what-is-fme-process) - [What is FME software used for?](https://www.g2.com/discussions/what-is-fme-software-used-for) ### 18. [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews) Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs. **Average Rating:** 4.3/5.0 **Total Reviews:** 101 **How Do G2 Users Rate Informatica Cloud Data Integration?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.9/10 (Category avg: 8.7/10) - **Auditing:** 8.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Informatica Cloud Data Integration?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Company Website:** https://www.informatica.com - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 61% Enterprise, 30% Mid-Market #### What Are Informatica Cloud Data Integration's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Efficiency (2 reviews) - Simple (2 reviews) - Time-saving (2 reviews) - Automation (1 reviews) **Cons:** - Complexity (1 reviews) - Complex Usability (1 reviews) - Debugging Difficulty (1 reviews) - Difficult Setup (1 reviews) - Error Messages (1 reviews) ### What Do G2 Reviewers Say About Informatica Cloud Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users find Informatica Cloud Data Integration **easy to use** , thanks to its intuitive interface and efficient drag-and-drop features. - Users value the **efficiency** of Informatica Cloud Data Integration, enjoying seamless access and powerful transformation capabilities. - Users value the **user-friendly drag-and-drop features** of Informatica Cloud Data Integration, simplifying ETL tasks effortlessly. - Users value the **time-saving capabilities** of Informatica Cloud Data Integration, streamlining data access and transformations efficiently. - Users value the **automation features** of Informatica Cloud Data Integration, streamlining their data processes effectively. **Cons:** - Users find the **complexity of setup and monitoring** in Informatica Cloud Data Integration challenging, especially for newcomers. - Users find the **complex usability** of Informatica Cloud Data Integration challenging, especially during setup and troubleshooting. - Users find **debugging difficult** with Informatica Cloud Data Integration, often requiring extra effort and expertise to resolve issues. - Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers to the platform. - Users experience **weird error messages** during mappings, often needing trial-and-error to resolve issues, unlike in PowerCenter. #### What Are Recent G2 Reviews of Informatica Cloud Data Integration? **"[Reliable Cloud ETL for Scalable Data Integration](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993)"** **Rating:** 4.5/5.0 stars *— Akshat G.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993) --- **"[Simplifies Data Integration with Powerful Tools](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745)"** **Rating:** 4.0/5.0 stars *— Vallabh P.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745) --- #### What Are G2 Users Discussing About Informatica Cloud Data Integration? - [What is your experience regarding pricing and costs for Informatica Cloud Data Integration, and how does it compare to other ETL tools?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-informatica-cloud-data-integration-and-how-does-it-compare-to-other-etl-tools) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud-7e364663-ec1e-4fca-9c65-4b962f135858) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud) - [What is Informatica CDI?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-informatica-cdi) - [What is Informatica CDI?](https://www.g2.com/discussions/what-is-informatica-cdi) ### 19. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **How Do G2 Users Rate ILUM?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind ILUM?** - **Seller:** [Ilum](https://www.g2.com/sellers/ilum) - **Company Website:** https://ilum.cloud/ - **Year Founded:** 2019 - **HQ Location:** Santa Fe, US - **Twitter:** @IlumCloud (19 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ilum-cloud/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Telecommunications - **Company Size:** 52% Enterprise, 35% Mid-Market #### What Are ILUM's Pros and Cons? **Pros:** - Ease of Use (17 reviews) - Features (17 reviews) - Integrations (17 reviews) - Setup Ease (16 reviews) - Easy Integrations (15 reviews) **Cons:** - Complex Setup (9 reviews) - Difficult Setup (9 reviews) - Learning Curve (9 reviews) - UX Improvement (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of ILUM, enjoying its intuitive interface and straightforward deployments for Spark workloads. - Users value the **user-friendly interface** of ILUM, which simplifies managing Spark workloads and enhances productivity. - Users praise ILUM for its **smooth integration** with existing systems, enhancing workflows and simplifying data management effectively. - Users appreciate the **setup ease** of ILUM, reporting quick deployment and a user-friendly interface for seamless operation. - Users value the **easy integrations** of ILUM, enhancing efficiency and simplifying workflows within existing systems. **Cons:** - Users find the **complex setup** of ILUM challenging, needing more guidance on advanced configuration and integration. - Users find the **difficult setup** of ILUM challenging, particularly with initial configurations and advanced features integration. - Users find a **steep learning curve** with ILUM's advanced features and custom setup, needing time to adjust. - Users find the **UI sometimes unintuitive** , especially for advanced configurations and specific workflows within ILUM. - Users find some features of ILUM to have **hidden complexity** , requiring extra effort to configure effectively. #### What Are Recent G2 Reviews of ILUM? **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- ### 20. [Adverity](https://www.g2.com/products/adverity/reviews) Adverity is the essential marketing data and intelligence platform empowering brands and agencies to turn complex data into confident AI-powered decisions that drive business growth. Through smart, seamless integration, transformation, and governance of data from hundreds of sources, combined with AI tools that equip marketers, analysts, and decision-makers with instant insights, Adverity enables teams to transform data into intelligent action at scale. Adverity is used by leading brands and agencies including Unilever, Bosch, IKEA, Barilla, Forbes, GroupM, Publicis, Dentsu, and more. **Average Rating:** 4.4/5.0 **Total Reviews:** 312 **How Do G2 Users Rate Adverity?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.9/10 (Category avg: 8.1/10) **Who Is the Company Behind Adverity?** - **Seller:** [Adverity GmbH](https://www.g2.com/sellers/adverity-gmbh) - **Company Website:** https://www.adverity.com - **Year Founded:** 2015 - **HQ Location:** Vienna, Austria - **Twitter:** @myadverity (1,757 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5340622/ (312 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Data Engineer - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 43% Mid-Market, 38% Small-Business #### What Are Adverity's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Integrations (11 reviews) - Data Management (10 reviews) - Easy Integrations (10 reviews) - User Interface (10 reviews) **Cons:** - Time-Consuming (7 reviews) - Complex Setup (4 reviews) - Data Management (4 reviews) - Difficult Learning (4 reviews) - Limited Customization (4 reviews) ### What Do G2 Reviewers Say About Adverity? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **user-friendly interface** of Adverity, making data management and integration a seamless experience. - Users value the **wide range of integrations** that Adverity offers, enhancing their data management across platforms. - Users benefit from the **easy integration and workflow** of Adverity, streamlining data management across platforms effortlessly. - Users value the **easy integrations** of Adverity, seamlessly connecting with diverse marketing platforms for efficient data management. - Users find Adverity's **clear and friendly user interface** enhances their experience and simplifies data management. **Cons:** - Users note that data processing can be **time-consuming** , leading to delays and complications in reporting and testing. - Users find the **complex setup** process challenging, requiring extensive technical knowledge and support for effective implementation. - Users find the **data management process overwhelming** initially, leading to challenges with setup and maintenance. - Users find **difficult learning** due to slow pipeline creation and complex setups, impacting confidence in scalability. - Users find Adverity's **limited customization** hampers their analysis, necessitating the use of additional tools for better reporting. #### What Are Recent G2 Reviews of Adverity? **"[Adverity’s Flexible Dashboards and Powerful Multi-Source Analytics](https://www.g2.com/survey_responses/adverity-review-12834123)"** **Rating:** 4.5/5.0 stars *— Franziska K.* [Read full review](https://www.g2.com/survey_responses/adverity-review-12834123) --- **"[Simplifies Data Integration with Robust Source Options](https://www.g2.com/survey_responses/adverity-review-13089580)"** **Rating:** 4.0/5.0 stars *— Ramin T.* [Read full review](https://www.g2.com/survey_responses/adverity-review-13089580) --- #### What Are G2 Users Discussing About Adverity? - [What is Adverity used for?](https://www.g2.com/discussions/what-is-adverity-used-for) - 1 comment ### 21. [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews) Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence. **Average Rating:** 4.3/5.0 **Total Reviews:** 92 **How Do G2 Users Rate Talend Cloud Data Integration?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 8.9/10 (Category avg: 8.1/10) **Who Is the Company Behind Talend Cloud Data Integration?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Who Uses This:** Software Analyst, Data Engineer - **Top Industries:** Pharmaceuticals, Information Technology and Services - **Company Size:** 64% Enterprise, 30% Mid-Market #### What Are Recent G2 Reviews of Talend Cloud Data Integration? **"[A great tool that makes data integration easy.](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)"** **Rating:** 4.5/5.0 stars *— Verle P.* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380) --- **"[Talend Application Used for past 5 years - Great Experience](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989) --- #### What Are G2 Users Discussing About Talend Cloud Data Integration? - [What do you like most about Talend Cloud Data Integration, and how has it improved your ETL processes?](https://www.g2.com/discussions/what-do-you-like-most-about-talend-cloud-data-integration-and-how-has-it-improved-your-etl-processes) - [What is Talend Cloud Data Integration used for?](https://www.g2.com/discussions/what-is-talend-cloud-data-integration-used-for) - [What does Talend software do?](https://www.g2.com/discussions/talend-cloud-data-integration-what-does-talend-software-do) - [What is Talend data fabric?](https://www.g2.com/discussions/what-is-talend-data-fabric) - [What is Talend Integration Cloud?](https://www.g2.com/discussions/what-is-talend-integration-cloud) ### 22. [Clarisights](https://www.g2.com/products/clarisights/reviews) Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep dives in a few clicks. From questions to insights in minutes. With Clarisights, performance marketers can move freely with data to iterate fast and accelerate testing cycles. Without relying on SQL, waiting for data teams or manual reporting in spreadsheets. Trusted by the most sophisticated Marketing teams, including those at Uber, Delivery Hero, HelloFresh, About You, and On. **Average Rating:** 4.9/5.0 **Total Reviews:** 63 **How Do G2 Users Rate Clarisights?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10) - **Automation:** 9.8/10 (Category avg: 9.0/10) - **Scalability:** 9.7/10 (Category avg: 8.7/10) - **Auditing:** 9.9/10 (Category avg: 8.1/10) **Who Is the Company Behind Clarisights?** - **Seller:** [Clarisights](https://www.g2.com/sellers/clarisights) - **Year Founded:** 2018 - **HQ Location:** Lewes, US - **Twitter:** @Clarisights (1,117 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/clarisights/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Apparel & Fashion, Consumer Goods - **Company Size:** 79% Enterprise, 17% Mid-Market #### What Are Clarisights's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Helpful (10 reviews) - Functionality (6 reviews) - Data Management (5 reviews) - Features (4 reviews) **Cons:** - Integration Issues (2 reviews) - Learning Curve (2 reviews) - Campaign Management (1 reviews) - Data Limitations (1 reviews) - Lack of Customization (1 reviews) ### What Do G2 Reviewers Say About Clarisights? *AI-generated summary from verified user reviews* **Pros:** - Users find Clarisights to be **extremely easy to use** , streamlining reporting and data analysis across multiple channels and markets. - Users praise Clarisights for its **intuitive and flexible reporting** , enabling efficient performance analysis across multiple channels and markets. - Users value the **intuitive and flexible functionality** of Clarisights, enabling efficient reporting and deep data analysis. - Users value the **centralized data management** in Clarisights, streamlining reporting and enhancing testing capabilities significantly. - Users value the **intuitive dashboards** of Clarisights, streamlining their analytics with ease and flexibility. **Cons:** - Users face **integration issues** , particularly with campaign renaming and limited direct connections, despite strong team support. - Users note a **slight learning curve** with Clarisights, but onboarding support helps ease the transition considerably. - Users face **technical issues when renaming campaigns** , with integrations lacking clarity, though support is helpful. - Users find the **data limitations** hinder their ability to gain deeper insights and analyze performance effectively. - Users face a **lack of customization** in Clarisights, hindering their ability to gain deeper insights from data. #### What Are Recent G2 Reviews of Clarisights? **"[Reliable, comprehensive marketing analytics platform for effective self-service](https://www.g2.com/survey_responses/clarisights-review-10733401)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/clarisights-review-10733401) --- **"[A tool that provides very powerful view for our marketing data](https://www.g2.com/survey_responses/clarisights-review-11350982)"** **Rating:** 5.0/5.0 stars *— Angela T.* [Read full review](https://www.g2.com/survey_responses/clarisights-review-11350982) --- ### 23. [Frends](https://www.g2.com/products/frends/reviews) Frends is a European low-code integration platform as a service (iPaaS) that enables organizations to connect applications, automate workflows, and manage APIs across cloud and on-premises environments. Designed for both developers and business technologists, Frends helps streamline system communication, reduce integration complexity, and support real-time operations. The platform supports a wide range of use cases including ERP modernization, cloud migration, business process automation, and data synchronization between legacy and modern systems. With a graphical interface based on BPMN 2.0 and built-in AI capabilities, Frends makes it easier to build, monitor, and manage integration processes without heavy reliance on custom code. Frends is built on Microsoft .NET and integrates natively with a wide range of systems including Microsoft Dynamics, Salesforce, SAP, and various industry-specific tools. Frends is used across industries such as public sector, utilities, manufacturing, finance, and retail. It is particularly suited for IT teams seeking to unify integration, automation, and API management into a single tool while maintaining compliance and security in distributed environments. Key capabilities include: - Building and managing integrations visually with BPMN 2.0 to accelerate development and collaboration - Automating business processes and system tasks with reusable, scalable workflows - Monitoring integrations in real-time to reduce downtime and improve operational visibility - Managing APIs and connections securely with full version control and access management - Leveraging AI assistance to configure integrations, generate documentation, and streamline onboarding --- Frends has been recognized in the Gartner® Magic Quadrant™ for Enterprise iPaaS and ranks consistently as a G2 High Performer across usability, setup, and implementation. The platform enables faster time-to-value, reduces reliance on custom development, and gives teams the tools to adapt quickly to change, making it a preferred integration solution for organizations in Europe and beyond. **Average Rating:** 4.5/5.0 **Total Reviews:** 139 **How Do G2 Users Rate Frends?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Frends?** - **Seller:** [FRENDS](https://www.g2.com/sellers/frends) - **Company Website:** https://frends.com - **Year Founded:** 1988 - **HQ Location:** Espoo, Uusimaa, Finland - **Twitter:** @FRENDSplatform (214 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/frends-app/ (309 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Oil & Energy - **Company Size:** 54% Mid-Market, 26% Enterprise #### What Are Frends's Pros and Cons? **Pros:** - Ease of Use (27 reviews) - Features (16 reviews) - Integrations (16 reviews) - Easy Integrations (15 reviews) - Simple (13 reviews) **Cons:** - Missing Features (9 reviews) - UX Improvement (8 reviews) - Limited Features (7 reviews) - Difficult Learning (6 reviews) - Integration Issues (5 reviews) ### What Do G2 Reviewers Say About Frends? *AI-generated summary from verified user reviews* **Pros:** - Users find Frends to be **highly intuitive and user-friendly** , greatly simplifying the learning curve and integration process. - Users value the **visualization of automation pipelines** in Frends, enhancing integration and process management with ease. - Users value Frends for its **easy integrations** , appreciating the collaborative features and user-friendly setup process. - Users appreciate the **easy integrations** with Frends, enabling seamless connections and efficient project development. - Users value the **user-friendly integration process** of Frends, simplifying complex tasks while enhancing overall manageability and efficiency. **Cons:** - Users find the **missing features** of Frends limiting, particularly regarding integrations and documentation improvements. - Users note that there is **room for usability improvements** in Frends, particularly with environment variables and cryptic error messages. - Users find Frends has **limited features** , wishing for more interactive tools and better logging options. - Users find the **difficult learning curve** challenging due to vague error messages and complex integration processes. - Users find **integration issues** with Frends challenging, struggling with confusing processes and lack of comprehensive documentation. #### What Are Recent G2 Reviews of Frends? **"[Powerful Integration Tool with Easy Setup](https://www.g2.com/survey_responses/frends-review-7497955)"** **Rating:** 5.0/5.0 stars *— Verified User in Logistics and Supply Chain* [Read full review](https://www.g2.com/survey_responses/frends-review-7497955) --- **"[Effortless Integration with Superior Debugging](https://www.g2.com/survey_responses/frends-review-10792154)"** **Rating:** 4.5/5.0 stars *— Riika A.* [Read full review](https://www.g2.com/survey_responses/frends-review-10792154) --- #### What Are G2 Users Discussing About Frends? - [What is Frends used for?](https://www.g2.com/discussions/what-is-frends-used-for) ### 24. [Hevo Data](https://www.g2.com/products/hevo-data/reviews) Hevo is a no-code ELT platform built on three principles: simplicity, reliability, and transparency. Connect your sources to leading data warehouses in 5 minutes with no engineering effort required. With automated scaling, fault-tolerant architecture, transparent pricing, and end-to-end visibility, Hevo keeps your data accurate and your pipelines running smoothly. Trusted by over 2,000 data teams across 45+ countries, Hevo brings all your data together through an intuitive experience that gets pipelines up and running in just a few clicks, so you can spend less time maintaining infrastructure and more time using your data. **Average Rating:** 4.4/5.0 **Total Reviews:** 287 **How Do G2 Users Rate Hevo Data?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 8.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Hevo Data?** - **Seller:** [Hevo Data](https://www.g2.com/sellers/hevo-data) - **Company Website:** https://hevodata.com/ - **Year Founded:** 2017 - **HQ Location:** San Francisco, California - **Twitter:** @HevoData (830 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13296733/ (233 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Financial Services - **Company Size:** 49% Mid-Market, 40% Small-Business #### What Are Hevo Data's Pros and Cons? **Pros:** - Ease of Use (33 reviews) - Customer Support (23 reviews) - Easy Integrations (21 reviews) - Easy Setup (17 reviews) - No-coding (15 reviews) **Cons:** - Expensive (12 reviews) - Pricing Issues (11 reviews) - Limited Customization (10 reviews) - Limitations (8 reviews) - Complex Setup (5 reviews) ### What Do G2 Reviewers Say About Hevo Data? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Hevo Data, benefiting from its no-code, drag-and-drop interface for ETL pipelines. - Users appreciate the **excellent customer support** from Hevo Data, which is available 24/7 to assist them. - Users appreciate the **easy integrations** of Hevo Data, enabling seamless data collection without code challenges. - Users enjoy the **easy setup** of Hevo Data, appreciating the no-code, drag-and-drop interface for ETL pipelines. - Users love the **no-coding requirement** of Hevo Data, ensuring easy ETL pipeline implementation with a user-friendly interface. **Cons:** - Users find Hevo Data to be **expensive** , which is a concern despite its no-code integration advantages. - Users find the **pricing issues** of Hevo Data a bit high, impacting their overall satisfaction with the service. - Users find the **limited customization** frustrating, making complex transformations and intuitive use more challenging. - Users note the **limited customization and transformation capabilities** of Hevo Data, affecting handling of complex data needs. - Users find the **complex setup** challenging, leading to initial confusion and difficulties with SQL queries. #### What Are Recent G2 Reviews of Hevo Data? **"[Easy Pipeline Setup, Great Performance, and Outstanding Hevo Support](https://www.g2.com/survey_responses/hevo-data-review-13076579)"** **Rating:** 4.5/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/hevo-data-review-13076579) --- **"[Hevo makes making data pipelines a breeze](https://www.g2.com/survey_responses/hevo-data-review-13074537)"** **Rating:** 4.0/5.0 stars *— Verified User in Logistics and Supply Chain* [Read full review](https://www.g2.com/survey_responses/hevo-data-review-13074537) --- #### What Are G2 Users Discussing About Hevo Data? - [How do you use HEVO data?](https://www.g2.com/discussions/how-do-you-use-hevo-data) - [Is HEVO ETL tool?](https://www.g2.com/discussions/is-hevo-etl-tool) - 1 comment - [Why use Hevo?](https://www.g2.com/discussions/why-use-hevo) - [What does Hevo data do?](https://www.g2.com/discussions/what-does-hevo-data-do) - 1 comment ### 25. [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. **Average Rating:** 4.5/5.0 **Total Reviews:** 100 **How Do G2 Users Rate KNIME?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind KNIME?** - **Seller:** [KNIME](https://www.g2.com/sellers/knime) - **Company Website:** https://knime.com - **Year Founded:** 2008 - **HQ Location:** Zurich, Switzerland - **Twitter:** @knime (7,998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/692207?trk=tyah&trkInfo=clickedVertical%3Acompany%2CclickedEntityId%3A692207%2Cidx%3A2-1-4%2CtarId%3A1454002156993%2Ctas%3Aknime (244 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Higher Education - **Company Size:** 43% Enterprise, 33% Mid-Market #### What Are KNIME's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Coding Ease (4 reviews) - Ease of Learning (4 reviews) - Learning (4 reviews) - Data Visualization (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Memory Usage (3 reviews) - Storage Limitations (3 reviews) - Data Management Issues (2 reviews) - Insufficient Learning Resources (2 reviews) ### What Do G2 Reviewers Say About KNIME? *AI-generated summary from verified user reviews* **Pros:** - Users find **KNIME's ease of use** remarkable, enabling effortless workflow creation without coding expertise. - Users value the **coding ease** of KNIME, making it accessible for beginners and non-technical users alike. - Users find KNIME to be an **easy-to-learn platform** that enables quick delivery of data solutions without coding expertise. - Users find KNIME to be **easy to learn** , enabling quick delivery of complex data analysis and AI solutions. - Users praise the **intuitive data visualization capabilities** of KNIME, making complex data insights easily accessible. **Cons:** - Users find the **learning difficulty** of KNIME challenging, particularly with unfamiliar data science concepts and visual programming. - Users often face **memory usage issues** with KNIME, leading to slow performance and difficulties handling large files. - Users face **storage limitations** with KNIME, leading to memory issues and slow performance with large files. - Users find **data management issues** with KNIME, particularly in improving file handling and accessing certain databases. - Users find the **lack of learning resources** for KNIME frustrating, hindering their ability to effectively utilize the software. #### What Are Recent G2 Reviews of KNIME? **"[KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI](https://www.g2.com/survey_responses/knime-review-12992618)"** **Rating:** 5.0/5.0 stars *— Guylaine B.* [Read full review](https://www.g2.com/survey_responses/knime-review-12992618) --- **"[KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals](https://www.g2.com/survey_responses/knime-review-12976842)"** **Rating:** 5.0/5.0 stars *— Charm M.* [Read full review](https://www.g2.com/survey_responses/knime-review-12976842) --- #### What Are G2 Users Discussing About KNIME? - [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for) - [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment - [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics) - [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good) - [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform) ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026