# Best Enterprise ETL Tools - Page 2 *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 (1,320 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 (1,026 reviews) | NetSuite-centered app integration and sync | "[Seamless Integration with Exceptional Support](https://www.g2.com/survey_responses/celigo-review-1996577)" | | 3 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (844 reviews) | Drag-and-drop data prep and reporting automation | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" | | 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 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (124 reviews) | Geospatial and multi-format data transformation | "[Powerful Automation and Workflow with Fast Onboarding](https://www.g2.com/survey_responses/fme-platform-review-13115305)" | | 6 | [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)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,016 reviews) | Self-service ETL feeding business dashboards | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" | | 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 (335 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** ### Domo 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. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-07-16T09%3A25%3A48Z&secure%5Bdisplayable_resource_id%5D=1181&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=604&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%3Fpage%3D2&secure%5Btoken%5D=ed19f4d66e1c33b57fb98dfbe300d01cb06a335c06b8355e446af5e6944b0b3f&secure%5Burl%5D=https%3A%2F%2Fwww.domo.com%2Fsolution%2Fai-transform%3Futm_source%3DG2Crowd%26utm_medium%3Ddisplay%26utm_campaign%3DPortalSite_Category_ETL_FY27_NAM%26campid%3D701Vu00002CQHjpIAH&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews) Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset. **Average Rating:** 4.4/5.0 **Total Reviews:** 151 **How Do G2 Users Rate Alteryx Designer Cloud?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.7/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Alteryx Designer Cloud?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **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®) - **Ownership:** Private **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 35% Enterprise, 35% Small-Business #### What Are Recent G2 Reviews of Alteryx Designer Cloud? **"[Great way to trick people into learning relational algebra](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)"** **Rating:** 4.5/5.0 stars *— Alexander D.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085) --- **"[The Inovation is comming](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)"** **Rating:** 4.0/5.0 stars *— Carlos Alexandre T.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148) --- #### What Are G2 Users Discussing About Alteryx Designer Cloud? - [What are data wrangling tools?](https://www.g2.com/discussions/what-are-data-wrangling-tools) - [Which of the following data sources does Trifacta Enterprise Support?](https://www.g2.com/discussions/which-of-the-following-data-sources-does-trifacta-enterprise-support) - [Is Trifacta an ETL tool?](https://www.g2.com/discussions/is-trifacta-an-etl-tool) - 1 comment - [What is Trifacta used for?](https://www.g2.com/discussions/what-is-trifacta-used-for) ### 2. [Supermetrics](https://www.g2.com/products/supermetrics/reviews) Supermetrics is a marketing intelligence platform designed to help users connect, extract, and analyze data from a wide array of marketing and sales platforms. Founded in 2010 and headquartered in Helsinki, Finland, Supermetrics aims to simplify the process of data management for businesses, allowing them to focus on strategic growth and innovation rather than getting bogged down by complex data extraction processes. Targeted primarily at marketers, analysts, and business intelligence professionals, Supermetrics serves a diverse audience ranging from small startups to large enterprises. Its capabilities are particularly beneficial for organizations that rely on multiple data sources, such as Google Analytics, Facebook Ads, and HubSpot, enabling them to consolidate their data into preferred destinations like spreadsheets or data warehouses. This functionality is essential for teams that need to generate reports quickly and efficiently, ensuring that insights are readily available for informed decision-making. One of the key features of Supermetrics is its ability to connect with over 150 different marketing and sales platforms, allowing users to pull data seamlessly without the need for extensive technical knowledge. This integration capability not only saves time but also reduces the potential for errors that can occur during manual data entry. Users can automate their reporting processes, which enhances productivity and allows teams to allocate more resources towards analysis and strategy rather than data collection. Additionally, Supermetrics stands out in the realm of marketing analytics through its user-friendly interface and robust support resources. The platform offers a range of templates and pre-built reports that cater to various marketing needs, making it easier for users to visualize their data and derive actionable insights. The platform is trusted by over 200,000 organizations globally, including prominent brands like Nestlé, Warner Bros, and Dyson, which underscores its reliability and effectiveness in the marketing intelligence space. By providing a comprehensive solution for data extraction and analysis, Supermetrics empowers businesses to harness the full potential of their data. Its recognition as one of G2’s Top 50 Best EMEA Software Companies for 2024 further highlights its commitment to innovation and excellence in marketing analytics, positioning it as a vital tool for any organization looking to enhance its data-driven decision-making capabilities. **Average Rating:** 4.4/5.0 **Total Reviews:** 816 **How Do G2 Users Rate Supermetrics?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (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 Supermetrics?** - **Seller:** [Supermetrics](https://www.g2.com/sellers/supermetrics) - **Company Website:** https://www.supermetrics.com - **Year Founded:** 2013 - **HQ Location:** Helsinki, Uusimaa - **Twitter:** @Supermetrics (7,832 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3335913/ (492 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Digital Marketing Manager, CEO - **Top Industries:** Marketing and Advertising, Retail - **Company Size:** 55% Small-Business, 35% Mid-Market #### What Are Supermetrics's Pros and Cons? **Pros:** - Ease of Use (24 reviews) - Integrations (23 reviews) - Easy Integrations (15 reviews) - Customer Support (14 reviews) - Connectors (12 reviews) **Cons:** - Expensive (13 reviews) - Missing Features (9 reviews) - Pricing Issues (8 reviews) - Data Limitations (6 reviews) - Learning Curve (5 reviews) ### What Do G2 Reviewers Say About Supermetrics? *AI-generated summary from verified user reviews* **Pros:** - Users find Supermetrics to be **incredibly easy to use** , allowing quick connections and seamless data extraction for reporting. - Users love the **seamless integrations** of Supermetrics, enabling quick data connections and efficient reporting across platforms. - Users praise the **easy integrations** of Supermetrics, making data extraction and visualization smooth and efficient. - Users appreciate the **excellent customer support** from Supermetrics, finding the team responsive and genuinely helpful. - Users love the **easy-to-use connectors** of Supermetrics, which simplify data integration and enhance efficiency for analysis. **Cons:** - Users feel the pricing of Supermetrics is **too high** , especially for individuals needing affordable solutions. - Users find **missing features** in Supermetrics, particularly for funnel events from GA4, limiting their data insights. - Users feel that **pricing issues** make it challenging to find a suitable package, particularly for individuals. - Users report **data limitations** affecting access to critical insights and creating challenges with large datasets in Supermetrics. - Users experience a notable **learning curve** with Supermetrics, as initial configuration and documentation are confusing for beginners. #### What Are Recent G2 Reviews of Supermetrics? **"[Efficient, Reliable Data Integration and Brilliant Reporting](https://www.g2.com/survey_responses/supermetrics-review-12588126)"** **Rating:** 4.5/5.0 stars *— Stefano P.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-12588126) --- **"[Makes My Data Studio Reports A Lot More Meaningful](https://www.g2.com/survey_responses/supermetrics-review-5397555)"** **Rating:** 5.0/5.0 stars *— Trevor I.* [Read full review](https://www.g2.com/survey_responses/supermetrics-review-5397555) --- #### What Are G2 Users Discussing About Supermetrics? - [What is Supermetrics used for?](https://www.g2.com/discussions/what-is-supermetrics-used-for) - 1 comment ### 3. [Skyvia](https://www.g2.com/products/skyvia/reviews) Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others. **Average Rating:** 4.8/5.0 **Total Reviews:** 335 **How Do G2 Users Rate Skyvia?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 9.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Skyvia?** - **Seller:** [Devart](https://www.g2.com/sellers/devart) - **Year Founded:** 1997 - **HQ Location:** Wilmington, Delaware, USA - **Twitter:** @DevartSoftware (1,736 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/800325/ (252 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, CTO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Small-Business, 43% Mid-Market #### What Are Skyvia's Pros and Cons? **Pros:** - Ease of Use (46 reviews) - Easy Integrations (33 reviews) - Easy Setup (30 reviews) - Setup Ease (29 reviews) - Integrations (26 reviews) **Cons:** - Information Deficiency (8 reviews) - Difficult Setup (7 reviews) - Learning Curve (7 reviews) - Poor Documentation (7 reviews) - Setup Difficulty (7 reviews) ### What Do G2 Reviewers Say About Skyvia? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **intuitive and well-designed interface** of Skyvia, making data integration tasks effortless and efficient. - Users value the **easy integration capabilities** of Skyvia, enabling seamless connectivity across various platforms with minimal effort. - Users appreciate the **easy setup** of Skyvia, finding it simple and intuitive for all integration needs. - Users find the **initial setup ease** of Skyvia boosts efficiency, making data integration simple and user-friendly. - Users appreciate the **ease of integration** with Skyvia, simplifying complex tasks and saving valuable time and resources. **Cons:** - Users find **information deficiency** in Skyvia’s documentation and logs, hindering troubleshooting and job tracking effectiveness. - Users find the **difficult setup** with Skyvia challenging, requiring extra time and effort for initial configuration. - Users find the **learning curve steep** , requiring time to grasp the dense interface and explore functionality. - Users feel the **poor documentation** of Skyvia makes integrations and troubleshooting more challenging and less intuitive. - Users find the **setup difficulty** in Skyvia frustrating due to trial and error, complex integrations, and a dated interface. #### What Are Recent G2 Reviews of Skyvia? **"[Straightforward data integration that reduced manual maintenance across our cloud systems](https://www.g2.com/survey_responses/skyvia-review-13091652)"** **Rating:** 5.0/5.0 stars *— Paul M.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-13091652) --- **"[Practical no-code data integration that reduced manual reporting work](https://www.g2.com/survey_responses/skyvia-review-13091619)"** **Rating:** 5.0/5.0 stars *— Aron G.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-13091619) --- #### What Are G2 Users Discussing About Skyvia? - [What is Skyvia used for?](https://www.g2.com/discussions/what-is-skyvia-used-for) - 1 comment ### 4. [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) IBM® InfoSphere® DataStage® is a leading ETL platform that integrates data across multiple enterprise systems. It leverages a high performance parallel framework, available on-premises or in the cloud. The scalable platform provides extended metadata management and enterprise connectivity. It integrates heterogeneous data, including big data at rest (Hadoop-based) or big data in motion (stream-based), on both distributed and mainframe platforms. It supports IBM Db2® Z and Db2 for z/OS®, applies workload and business rules, and integrates real-time data in an easy to deploy, scalable platform. Learn More: https://ibm.co/2NpHEtZ **Average Rating:** 4.0/5.0 **Total Reviews:** 62 **How Do G2 Users Rate IBM DataStage?** - **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10) - **Automation:** 7.6/10 (Category avg: 9.0/10) - **Scalability:** 7.9/10 (Category avg: 8.7/10) - **Auditing:** 7.7/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM DataStage?** - **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?** - **Top Industries:** Banking, Information Technology and Services - **Company Size:** 77% Enterprise, 15% Mid-Market #### What Are IBM DataStage's Pros and Cons? **Pros:** - Customization (1 reviews) - Data Pipelining (1 reviews) - Drag (1 reviews) - Ease of Use (1 reviews) - Efficiency Improvement (1 reviews) **Cons:** - Complex Processes (1 reviews) - Dependency Issues (1 reviews) - Expensive (1 reviews) - Lack of Real-Time Data (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About IBM DataStage? *AI-generated summary from verified user reviews* **Pros:** - Users value the **customization capabilities** of DataStage, enabling tailored solutions for diverse data processing needs. - Users praise **DataStage's high-performance pipelining** , enabling efficient processing of vast data volumes without delays. - Users appreciate the **high-performance parallel processing** of IBM DataStage, enabling efficient handling of massive data volumes. - Users value the **ease of use** in DataStage, benefitting from its intuitive drag-and-drop interface for complex ETL tasks. - Users value the **high-performance parallel processing** of IBM DataStage, effortlessly managing massive data volumes with speed. **Cons:** - Users note the **complex processes** in DataStage, highlighting a steep learning curve and clunky, less agile performance. - Users often face **dependency issues** with IBM DataStage, leading to challenges in integration and system flexibility. - Users highlight the **expensive costs** of IBM DataStage, making it challenging for smaller businesses to adopt. - Users frequently note the **lack of real-time data** capabilities in IBM DataStage, affecting agile data processing needs. - Users face a **steep learning curve** with IBM DataStage, making it challenging for new hires to adapt effectively. #### What Are Recent G2 Reviews of IBM DataStage? **"[Unmatched Performance and Reliability for Enterprise Data Workloads](https://www.g2.com/survey_responses/ibm-datastage-review-12124677)"** **Rating:** 5.0/5.0 stars *— Poojasree M.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-12124677) --- **"[Blazingly Fast, Full-Featured ETL tool with Flexible Data Connections](https://www.g2.com/survey_responses/ibm-datastage-review-10327160)"** **Rating:** 4.0/5.0 stars *— Steve L.* [Read full review](https://www.g2.com/survey_responses/ibm-datastage-review-10327160) --- #### What Are G2 Users Discussing About IBM DataStage? - [What is IBM InfoSphere DataStage used for?](https://www.g2.com/discussions/what-is-ibm-infosphere-datastage-used-for) - [How can I download IBM InfoSphere DataStage?](https://www.g2.com/discussions/how-can-i-download-ibm-infosphere-datastage) - [What is InfoSphere Information Server?](https://www.g2.com/discussions/what-is-infosphere-information-server) - [What is DataStage tool?](https://www.g2.com/discussions/what-is-datastage-tool) ### 5. [Oracle Data Integrator](https://www.g2.com/products/oracle-data-integrator/reviews) Oracle Data Integrator (on-premises & Cloud Service) - a high-Performance Bulk Data Movement and Data Transformation. Delivers unique next-generation, extract load and transform (ELT) technology that improves performance and reduces data integration costs—even across heterogeneous systems. o ELT architecture for improved performance and lower TCO o Heterogeneous platform support for enterprise data integration o Knowledge modules for optimized developer productivity and extensibility o Service-oriented data integration and management for SOA environments Link - https://www.oracle.com/middleware/data-integration/enterprise-edition/ Datasheet – http://www.oracle.com/us/products/middleware/data-integration/odi-ee-ds-2030747.pdf Documentation https://www.oracle.com/technetwork/middleware/data-integrator/documentation/index.html#11.1.1.5 Webcast Supercharge your data integration DIPC https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=https%3A%2F%2Fwww.oracle.com%2Fmiddleware%2Fdata-integration%2Fenterprise-edition%2Fresources.html&eventid=1545759&sessionid=1&key=E89B634077F2FF8700223E6E1A49A54E&regTag=&sourcepage=register **Average Rating:** 4.0/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Oracle Data Integrator?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Oracle Data Integrator?** - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Company Size:** 80% Enterprise, 20% Mid-Market #### What Are Recent G2 Reviews of Oracle Data Integrator? **"[Powerful ELT Architecture and Reusable Knowledge Modules That Speed Development](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188)"** **Rating:** 4.0/5.0 stars *— Simone B.* [Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-12579188) --- **"[ODI- Very efficient and highly flexible](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676)"** **Rating:** 5.0/5.0 stars *— Amit N.* [Read full review](https://www.g2.com/survey_responses/oracle-data-integrator-review-5330676) --- ### 6. [CloverDX](https://www.g2.com/products/cloverdx/reviews) CloverDX is the data integration platform that combines engineering-led pipelines, an AI Assistant, and self-service tools for business users. There's no managed SaaS here: you self-host CloverDX on your own terms, on-prem, in your own cloud, or hybrid, so your data and infrastructure stay under your control. CloverDX streamlines the entire ETL lifecycle, from ingestion and processing to delivery and consumption, enhancing productivity and fostering trust in data. The platform is used by organizations of all sizes, helping companies optimize and orchestrate their data workflows, reduce manual work and errors, and ensure compliance with data governance standards. Data engineers and technical users build and automate pipelines in a visual + code interface, backed by an AI Assistant that plans, builds, tests, and documents pipelines from a spec, sample data, or a natural-language prompt. Every step it generates stays visible and editable, so engineers stay in control while spending less time on boilerplate and more time on architecture and review. Business users get their own Wrangler Assistant, describing what they need in plain language and getting back transparent, editable transformation steps, so they can take on data quality, data prep, and master data management tasks without needing IT intervention. This frees up technical resources across the board. CloverDX supports a wide range of data sources and formats, enabling users to ingest data from various systems. Robust transformation capabilities allow users to clean, enrich, and manipulate data to meet specific business requirements, including using AI directly within pipelines to classify, extract, anonymize, or summarize data. Every AI capability runs on a bring your own key (BYOK) or bring your own model (BYOM) basis: connect your own account with Anthropic, OpenAI, Azure OpenAI, or Google, or run models entirely on your own infrastructure for data that never leaves your environment. There's no CloverDX-run AI service in the middle, so you stay in control of the provider, the cost, and what data gets shared. CloverDX also offers advanced automation features, including AI-assisted monitoring and diagnostics that flag issues before they become problems, minimizing manual intervention and reducing the risk of errors. CloverDX helps maintain data integrity and accountability throughout the data lifecycle, with full version control and audit trails. Users can track changes and access historical data versions, ensuring they can rely on the accuracy of data at all times. Governance always comes first: admins can set organization-wide guardrails on what data reaches an AI provider, or disable external AI sharing entirely for regulated environments. CloverDX is a versatile, flexible data integration solution that addresses the needs of both technical and non-technical users. By combining self-hosted deployment freedom, AI-powered productivity, robust processing capabilities, and a user-friendly interface, it empowers organizations to manage their data more effectively, ultimately leading to better insights, enhanced collaboration and alignment, and improved business outcomes. **Average Rating:** 4.3/5.0 **Total Reviews:** 72 **How Do G2 Users Rate CloverDX?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 8.6/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.6/10 (Category avg: 8.1/10) **Who Is the Company Behind CloverDX?** - **Seller:** [CloverDX](https://www.g2.com/sellers/cloverdx) - **Company Website:** https://www.cloverdx.com/ - **Year Founded:** 2002 - **HQ Location:** Prague - **Twitter:** @CloverDX (1,237 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cloverdx/ (55 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 40% Mid-Market, 36% Enterprise #### What Are CloverDX's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Automation (7 reviews) - Easy Integrations (6 reviews) - Simple (6 reviews) - User Interface (6 reviews) **Cons:** - Poor Documentation (4 reviews) - Steep Learning Curve (4 reviews) - Connection Issues (3 reviews) - Unclear Documentation (3 reviews) - Complex Usability (2 reviews) ### What Do G2 Reviewers Say About CloverDX? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of CloverDX, appreciating its streamlined workflows and intuitive visual tools for data management. - Users value how CloverDX enhances efficiency through **streamlined automation** of workflows and easy data management. - Users value the **easy integrations** of CloverDX, facilitating efficient data transformation and workflow design across various sources. - Users find the **simple and effective automation** capabilities of CloverDX enhance productivity and ease of use. - Users find the **simple and effective UI** of CloverDX essential for automating tasks and training teammates. **Cons:** - Users feel the **poor documentation** lacks detailed examples and interactive guidance, hindering the learning process. - Users experience a **steep learning curve** with CloverDX, finding initial use and documentation quite challenging. - Users experience **connection issues** with CloverDX, facing limited SFTP connectivity and slow data transfer times. - Users find the **unclear documentation** frustrating, wishing for more examples and better guidance to aid understanding. - Users find CloverDX's features to be **complex and challenging to navigate** , impacting overall usability and experience. #### What Are Recent G2 Reviews of CloverDX? **"[Multiple projects using CloverDX.](https://www.g2.com/survey_responses/cloverdx-review-8387245)"** **Rating:** 5.0/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-8387245) --- **"[Customizable Pipelines, Easy Setup with CloverDX](https://www.g2.com/survey_responses/cloverdx-review-10657839)"** **Rating:** 4.5/5.0 stars *— Pavlo T.* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-10657839) --- #### What Are G2 Users Discussing About CloverDX? - [How much does CloverDX cost?](https://www.g2.com/discussions/how-much-does-cloverdx-cost) - 1 comment - [Is CloverDX open source?](https://www.g2.com/discussions/is-cloverdx-open-source) - 1 comment - [How do you use CloverDX?](https://www.g2.com/discussions/how-do-you-use-cloverdx) ### 7. [Singular](https://www.g2.com/products/singular/reviews) Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights. **Average Rating:** 4.5/5.0 **Total Reviews:** 501 **How Do G2 Users Rate Singular?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.9/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Singular?** - **Seller:** [Singular](https://www.g2.com/sellers/singular) - **Company Website:** https://www.singular.net - **Year Founded:** 2014 - **HQ Location:** Palo Alto, California - **Twitter:** @TweetSingular (1,316 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3739623/ (361 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** User Acquisition Manager, Marketing Manager - **Top Industries:** Computer Games, Financial Services - **Company Size:** 52% Mid-Market, 26% Small-Business #### What Are Singular's Pros and Cons? **Pros:** - Customer Support (80 reviews) - Ease of Use (64 reviews) - Helpful (47 reviews) - Features (46 reviews) - Analytics (34 reviews) **Cons:** - Poor UI (18 reviews) - Poor Interface Design (17 reviews) - Limitations (16 reviews) - UI Design Issues (15 reviews) - Integration Issues (14 reviews) ### What Do G2 Reviewers Say About Singular? *AI-generated summary from verified user reviews* **Pros:** - Users commend Singular for its **exceptional customer support** , noting quick and effective responses to queries and issues. - Users appreciate the **ease of use** of Singular, with clear dashboards and straightforward onboarding for effective campaign management. - Users find the **support and customer service** of Singular to be exceptionally helpful and responsive to their needs. - Users appreciate the **flexibility and transparency** of Singular, facilitating faster, reliable decision-making with comprehensive data analysis. - Users value the **deep campaign performance analysis** of Singular, enhancing marketing data consolidation and decision-making. **Cons:** - Users find the **UI lacking intuitiveness** , requiring additional support for efficient usage, which hinders overall experience. - Users find the **poor interface design** of Singular overwhelming, suggesting that intuitive improvements are necessary for better usability. - Users face **limitations in data attribution** and reporting accuracy, which hinders effective campaign optimization with Singular. - Users find **UI design issues** and complex integrations in Singular can hinder usability and slow down analysis. - Users often face **integration issues** with Singular, complicating setups and slowing down campaign execution and analysis. #### What Are Recent G2 Reviews of Singular? **"[Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy](https://www.g2.com/survey_responses/singular-review-12624145)"** **Rating:** 4.5/5.0 stars *— Marko D.* [Read full review](https://www.g2.com/survey_responses/singular-review-12624145) --- **"[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)"** **Rating:** 4.5/5.0 stars *— Giedrius P.* [Read full review](https://www.g2.com/survey_responses/singular-review-5211366) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ### 8. [Flowgear](https://www.g2.com/products/flowgear/reviews) Flowgear is an Integration Development Environment that enables teams to build, run, and govern business integrations across cloud, hybrid, and on-premises systems. Acting as a durable integration layer, Flowgear governs how AI securely interacts with business systems through scoped tools, approved connections, comprehensive logging, diagnostics, and controlled execution, helping organizations accelerate automation while maintaining visibility, security, and governance. **Average Rating:** 4.5/5.0 **Total Reviews:** 130 **How Do G2 Users Rate Flowgear?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Flowgear?** - **Seller:** [Flowgear](https://www.g2.com/sellers/flowgear) - **Year Founded:** 2007 - **HQ Location:** Johannesburg, Gauteng - **Twitter:** @flowgear (369 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/flowgear/ (34 employees on LinkedIn®) - **Phone:** US: 1-800-940-0054 UK: 0-800-098-8164 South Africa: 0861-61-3569 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small-Business, 40% Mid-Market #### What Are Flowgear's Pros and Cons? **Pros:** - Easy Integrations (6 reviews) - Automation (4 reviews) - Connectivity (3 reviews) - Connectors (3 reviews) - Ease of Use (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Poor Documentation (3 reviews) - Difficult Learning (2 reviews) - Learning Curve (2 reviews) - Limited Functionality (2 reviews) ### What Do G2 Reviewers Say About Flowgear? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy integrations** provided by Flowgear, enabling seamless connections across multiple systems effectively. - Users value the **ease of automation** with Flowgear, simplifying complex workflows and enhancing system integration. - Users value Flowgear's **seamless connectivity** , enjoying intuitive integrations that simplify system connections and enhance efficiency. - Users value the **wide range of connectors** in Flowgear, enabling quick and efficient integrations with minimal coding. - Users value the **ease of use** of Flowgear, which simplifies building integrations without extensive coding knowledge. **Cons:** - Users find the **learning difficulty** challenging due to limited training materials and complex workflows, impacting new user experience. - Users find the **poor documentation** of Flowgear limits the learning curve and complicates advanced feature exploration. - Users find the **difficult learning** curve challenging due to limited training materials and unclear documentation. - Users find the **limited training and documentation** challenging, making the learning curve steep for newcomers. - Users find the **limited functionality** in the trial version hinders exploration of advanced features and complex integrations. #### What Are Recent G2 Reviews of Flowgear? **"[Reduces Coding Hassle and Makes API Tasks Easy](https://www.g2.com/survey_responses/flowgear-review-12500953)"** **Rating:** 4.5/5.0 stars *— Kgabo B.* [Read full review](https://www.g2.com/survey_responses/flowgear-review-12500953) --- **"[Intuitive Drag-and-Drop Integrations with Cost-Effective Salesforce Connectors](https://www.g2.com/survey_responses/flowgear-review-12699714)"** **Rating:** 4.5/5.0 stars *— Bayethe N.* [Read full review](https://www.g2.com/survey_responses/flowgear-review-12699714) --- #### What Are G2 Users Discussing About Flowgear? - [What is your primary use case for Flowgear, and how has it impacted your integration processes?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-flowgear-and-how-has-it-impacted-your-integration-processes) - [What is Flowgear used for?](https://www.g2.com/discussions/what-is-flowgear-used-for) ### 9. [Nexla](https://www.g2.com/products/nexla/reviews) Nexla is an enterprise-grade, AI-powered data integration platform designed to help organizations unlock data from any source and transform it into production-ready data products for AI and agents. With support for 700+ pre-built connectors and multiple integration styles, including ELT, ETL, streaming, APIs, and agentic RAG, the platform enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries, ​​showcasing its ability to handle large volumes of data while maintaining performance and reliability. Innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp rely on Nexla to keep mission-critical data flowing seamlessly across their enterprises. Key features of Nexla include flexible deployment across cloud, hybrid, and on-premises environments, ensuring compliance with enterprise-grade security standards such as SOC 2 Type II, GDPR, CCPA, and HIPAA. Nexla delivers 10x faster implementation than traditional alternatives, turning data challenges and variety into competitive advantages. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team with next-gen data integration: ✅ Eliminate costly replications & reduce storage bills ✅ Increase engineering productivity & capacity for innovation ✅ Empower users with Pro/Low/No-code collaboration ✅ Cut out maintenance with data validation, quality monitoring, & alerts ✅ Build production-ready custom GenAI applications Go beyond one traditional integration pattern, and invest in data architecture that supports: ✅ Any integration pattern (ELT, ETL, API / API proxy, & RAG - Retrieval Augmented Generation) ✅ Bi-directional connectors out of the box & on demand ✅ Any processing speed (streaming, real-time, batch) ✅ Unstructured, structured, or semi-structured data ✅ Complete data lineage search & tagging for governance ✅ Metadata-driven architecture for agility & scale Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on: ✅ Compute: AWS, Azure, Google Cloud, On-Premise ✅ Storage: S3, Redshift, BigQuery, Snowflake, Oracle, Databricks, Kafka, Redis, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, Marketo, Hubspot, Amazon Seller Central, Google Ads, API, Salesforce ✅ Catalogs: Alation, Collibra, data.world ✅ Webhooks, emails, FTP & APIs ✅ Vector database & LLM: Pinecone, GPT, Falcon, LLaMDa And many more Differentiators & Awards 🏆 2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2024 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2023 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2022 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools **Average Rating:** 4.6/5.0 **Total Reviews:** 62 **How Do G2 Users Rate Nexla?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.8/10 (Category avg: 8.7/10) - **Auditing:** 7.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Nexla?** - **Seller:** [Nexla](https://www.g2.com/sellers/nexla) - **Company Website:** https://www.nexla.com/ - **Year Founded:** 2016 - **HQ Location:** San Mateo, California - **Twitter:** @NexlaInc (944 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/nexla/ (67 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Insurance - **Company Size:** 41% Mid-Market, 33% Small-Business #### What Are Nexla's Pros and Cons? **Pros:** - Ease of Use (21 reviews) - Automation (14 reviews) - Data Management (14 reviews) - Integrations (13 reviews) - Data Integration (10 reviews) **Cons:** - Learning Difficulty (7 reviews) - Slow Performance (7 reviews) - Difficult Learning (6 reviews) - Learning Curve (6 reviews) - Poor Documentation (6 reviews) ### What Do G2 Reviewers Say About Nexla? *AI-generated summary from verified user reviews* **Pros:** - Users love Nexla's **ease of use** , enabling straightforward data manipulation without the need for coding skills. - Users value Nexla for its **automation of data processing** , significantly reducing manual work and improving efficiency. - Users appreciate the **user-friendly interface** of Nexla, which simplifies data integration across complex pipelines effortlessly. - Users value the **seamless integration** capabilities of Nexla, simplifying data management across diverse sources without coding. - Users appreciate the **ease of data integration** with Nexla, enabling non-technical staff to manage complex data tasks effortlessly. **Cons:** - Users find the **learning difficulty** of Nexla challenging, particularly with the complex setup and advanced features. - Users experience **slow performance** with the UI and search, affecting their efficiency during complex workflows. - Users find the **difficult learning** curve of Nexla challenging, particularly for setup and advanced feature comprehension. - Users find the **learning curve challenging** , especially new users coping with setup and advanced features. - Users often find the **poor documentation** of Nexla confusing, impacting their ability to utilize the product effectively. #### What Are Recent G2 Reviews of Nexla? **"[Smooth Data Integration with Impressive Speed and UI](https://www.g2.com/survey_responses/nexla-review-12630612)"** **Rating:** 4.5/5.0 stars *— Srinivasulu L.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12630612) --- **"[Robust Data Consolidation with Excellent Support](https://www.g2.com/survey_responses/nexla-review-12648347)"** **Rating:** 4.0/5.0 stars *— Jaspreet S.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12648347) --- #### What Are G2 Users Discussing About Nexla? - [How do you use Nexla?](https://www.g2.com/discussions/nexla-how-do-you-use-nexla) - [How do you use Nexla?](https://www.g2.com/discussions/how-do-you-use-nexla) - [What is a data fabric?](https://www.g2.com/discussions/nexla-what-is-a-data-fabric) - [What is a data fabric?](https://www.g2.com/discussions/what-is-a-data-fabric) - [What does DataOps do?](https://www.g2.com/discussions/nexla-what-does-dataops-do) ### 10. [Keboola](https://www.g2.com/products/keboola/reviews) Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance. **Average Rating:** 4.6/5.0 **Total Reviews:** 133 **How Do G2 Users Rate Keboola?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 7.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Keboola?** - **Seller:** [Keboola](https://www.g2.com/sellers/keboola) - **Company Website:** https://www.keboola.com - **Year Founded:** 2008 - **HQ Location:** Prague - **Twitter:** @keboola (2,004 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/keboola/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Data Engineer - **Top Industries:** Information Technology and Services, Marketing and Advertising - **Company Size:** 64% Mid-Market, 21% Small-Business #### What Are Keboola's Pros and Cons? **Pros:** - Ease of Use (35 reviews) - Features (27 reviews) - Data Management (26 reviews) - Integrations (26 reviews) - Customer Support (25 reviews) **Cons:** - Learning Curve (14 reviews) - Complexity (13 reviews) - Steep Learning Curve (11 reviews) - Data Management (9 reviews) - UX Improvement (9 reviews) ### What Do G2 Reviewers Say About Keboola? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Keboola, making data management accessible for non-technical users. - Users appreciate the **user-friendly data management** in Keboola, with diverse connectors and robust support enhancing their experience. - Users value the **intuitive data flow setup** in Keboola, enhancing productivity by seamlessly integrating diverse data sources. - Users value the **extensive integrations** in Keboola, which enhance data management and accessibility for all users. - Users commend Keboola's **exceptional customer support** , consistently providing fast and helpful assistance for various queries. **Cons:** - Users find the **learning curve steep** , often needing developer support to manage complex project architectures effectively. - Users find the **complexity of the DAG and steep learning curve** cumbersome, with challenges in documentation and support consistency. - Users experience a **steep learning curve** with Keboola, often requiring outside help and facing challenges during setup. - Users find the **user interface complex** and the data stream poorly organized, complicating data management tasks. - Users find the **user interface challenging** and feel overwhelmed by the complex navigation and data organization. #### What Are Recent G2 Reviews of Keboola? **"[Effortless Data Management with Stellar Support](https://www.g2.com/survey_responses/keboola-review-11930748)"** **Rating:** 4.5/5.0 stars *— Pavel S.* [Read full review](https://www.g2.com/survey_responses/keboola-review-11930748) --- **"[Streamlines Data Prep with Some Learning Curves](https://www.g2.com/survey_responses/keboola-review-9741142)"** **Rating:** 5.0/5.0 stars *— Vojta F.* [Read full review](https://www.g2.com/survey_responses/keboola-review-9741142) --- #### What Are G2 Users Discussing About Keboola? - [What are the benefits and challenges of using Keboola for data integration, and what do you recommend for new users?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-keboola-for-data-integration-and-what-do-you-recommend-for-new-users) ### 11. [AWS Database Migration Service](https://www.g2.com/products/aws-database-migration-service/reviews) AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. **Average Rating:** 4.1/5.0 **Total Reviews:** 47 **How Do G2 Users Rate AWS Database Migration Service?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind AWS Database Migration Service?** - **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?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 32% Mid-Market #### What Are Recent G2 Reviews of AWS Database Migration Service? **"[Intuitive, Feature-Rich, and Makes Migration Effortless](https://www.g2.com/survey_responses/aws-database-migration-service-review-12723092)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/aws-database-migration-service-review-12723092) --- **"[DMS - Migrating data with ease](https://www.g2.com/survey_responses/aws-database-migration-service-review-9555595)"** **Rating:** 4.5/5.0 stars *— Sonali A.* [Read full review](https://www.g2.com/survey_responses/aws-database-migration-service-review-9555595) --- #### What Are G2 Users Discussing About AWS Database Migration Service? - [What is AWS Database Migration Service used for?](https://www.g2.com/discussions/what-is-aws-database-migration-service-used-for) ### 12. [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) Qlik Replicate (formerly Attunity Replicate) empowers organizations to accelerate data replication, ingestion and streaming across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of enterprises worldwide, Qlik Replicate moves your data easily, securely, and efficiently with minimal operational impact. Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud. Qlik Replicate is different and Enterprise-Ready. It moves data at high speed from source to target, simply and easily, and offers a single pane of glass monitoring of your data pipelines across the enterprise, all managed through a graphical interface that completely automates end-to-end replication. With our streamlined and agentless configuration, your administrators and data architects can quickly set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale. **Average Rating:** 4.3/5.0 **Total Reviews:** 95 **How Do G2 Users Rate Qlik Replicate?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Automation:** 8.1/10 (Category avg: 9.0/10) - **Scalability:** 8.0/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Qlik Replicate?** - **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?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 42% Enterprise, 35% Mid-Market #### What Are Qlik Replicate's Pros and Cons? **Pros:** - Features (3 reviews) - Database Management (2 reviews) - Easy Integrations (2 reviews) - Scalability (2 reviews) - Automation (1 reviews) **Cons:** - Complex Setup (2 reviews) - Learning Difficulty (2 reviews) - Difficult Setup (1 reviews) - Expensive (1 reviews) - Inadequate Security (1 reviews) ### What Do G2 Reviewers Say About Qlik Replicate? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **robust functionality** of Qlik Replicate for efficient data replication and user-friendly management. - Users appreciate the **broad database support** of Qlik Replicate, enhancing data import and ensuring consistency. - Users value the **easy integrations** of Qlik Replicate, benefiting from seamless connections across numerous data platforms. - Users value the **scalability** of Qlik Replicate, enabling efficient data replication across various databases effortlessly. - Users value the **automation capabilities** of Qlik Replicate, making it an excellent choice for scalable data solutions. **Cons:** - Users find the **complex setup** of Qlik Replicate challenging, requiring significant time and effort for initial configuration. - Users find the **learning difficulty** of Qlik Replicate challenging, requiring significant time and effort to master. - Users find the **difficult setup** of Qlik Replicate requires significant time and effort to navigate effectively. - Users find Qlik Replicate to be **expensive** , requiring significant time and effort for setup and learning. - Users note that the **data security** of Qlik Replicate lacks advancement and needs improvements for better protection. #### What Are Recent G2 Reviews of Qlik Replicate? **"[Qlik Replicate: Intelligent Data Replication for Modern Enterprises – Seamless Sync, Move Faster](https://www.g2.com/survey_responses/qlik-replicate-review-11427532)"** **Rating:** 4.0/5.0 stars *— Soumava S.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-11427532) --- **"[Bestest for Data](https://www.g2.com/survey_responses/qlik-replicate-review-8237655)"** **Rating:** 4.5/5.0 stars *— Kaustubh Y.* [Read full review](https://www.g2.com/survey_responses/qlik-replicate-review-8237655) --- #### What Are G2 Users Discussing About Qlik Replicate? - [What are the benefits and drawbacks of using Qlik Replicate for data replication?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-qlik-replicate-for-data-replication) - [What is Qlik Replicate used for?](https://www.g2.com/discussions/what-is-qlik-replicate-used-for) - [How Qlik Replicate works?](https://www.g2.com/discussions/how-qlik-replicate-works) - [How much does Attunity Replicate cost?](https://www.g2.com/discussions/how-much-does-attunity-replicate-cost) - 1 comment - [What is Attunity Replicate?](https://www.g2.com/discussions/what-is-attunity-replicate) ### 13. [Ab Initio](https://www.g2.com/products/ab-initio/reviews) Ab Initio specializes in developing software for data integration, data governance, data quality, metadata management, and agentic AI. Ab Initio is Latin for “from the beginning” or “from first principles.” The fundamentals of scalability, reliability, and auditability are built into Ab Initio’s data and agentic AI software as first principles. The Ab Initio Agentic Data Platform is a unified environment for designing, deploying, and managing data workflows and agentic AI at scale. The software translates raw information into governed data products and auditable actions performed by both agents and humans. The platform’s parallel processing engine delivers deterministic performance for massive data volumes, reducing infrastructure waste and runtime variation. Because logic and execution are portable, workflows can move between data centers and clouds without modification or revalidation. **Average Rating:** 4.3/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Ab Initio?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 7.6/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Ab Initio?** - **Seller:** [Ab Initio](https://www.g2.com/sellers/ab-initio) - **Year Founded:** 1995 - **HQ Location:** United States - **LinkedIn® Page:** https://www.linkedin.com/company/ab-initio/about (965 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 91% Enterprise, 9% Mid-Market #### What Are Recent G2 Reviews of Ab Initio? **"[Excellent ETL Development Tool](https://www.g2.com/survey_responses/ab-initio-review-7801665)"** **Rating:** 5.0/5.0 stars *— Rajeswari Acharya R.* [Read full review](https://www.g2.com/survey_responses/ab-initio-review-7801665) --- **"[Abinitio is best amoung the other etl tools easy to use](https://www.g2.com/survey_responses/ab-initio-review-9064690)"** **Rating:** 4.0/5.0 stars *— Sunny T.* [Read full review](https://www.g2.com/survey_responses/ab-initio-review-9064690) --- ### 14. [Tray.ai](https://www.g2.com/products/tray-ai/reviews) Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. The fastest way to turn AI into business performance.™ **Average Rating:** 4.5/5.0 **Total Reviews:** 153 **How Do G2 Users Rate Tray.ai?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 6.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Tray.ai?** - **Seller:** [Tray.io](https://www.g2.com/sellers/tray-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @tray (3,059 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2659008/ (139 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 56% Mid-Market, 34% Small-Business #### What Are Tray.ai's Pros and Cons? **Pros:** - Easy Integrations (8 reviews) - Ease of Use (7 reviews) - Automation (5 reviews) - Customer Support (5 reviews) - Integrations (5 reviews) **Cons:** - Missing Features (4 reviews) - Complex Pricing (3 reviews) - Expensive (3 reviews) - Learning Curve (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About Tray.ai? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy integrations** of Tray.ai, finding it straightforward to connect and automate diverse processes. - Users find Tray.ai's **ease of use** impressive, enabling seamless setup and flexible automation without extensive technical skills. - Users highlight the **automation capabilities** of Tray.ai, streamlining complex tasks and enhancing operational efficiency. - Users value the **incredibly helpful support community** for seamless troubleshooting and responsive interaction on Slack. - Users value the **extensive integrations** of Tray.ai, enabling seamless connections with various platforms and APIs. **Cons:** - Users feel the **missing features** in Tray.ai limit functionality, especially concerning version control and data visibility. - Users find the **complex pricing structure** challenging, especially with frequent changes affecting budgeting and planning. - Users find Tray.ai to be **expensive** due to frequent pricing changes and a complicated usage-based model. - Users face a notable **learning curve** with Tray.ai, particularly when navigating its complex functionalities and workflows. - Users find the **complexity of rules** challenging for newcomers, impacting ease of use and planning. #### What Are Recent G2 Reviews of Tray.ai? **"[Easy-to-Identify Logs and Audit Trails](https://www.g2.com/survey_responses/tray-ai-review-12530158)"** **Rating:** 4.5/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-12530158) --- **"[An Integration tool](https://www.g2.com/survey_responses/tray-ai-review-11278803)"** **Rating:** 5.0/5.0 stars *— Omji P.* [Read full review](https://www.g2.com/survey_responses/tray-ai-review-11278803) --- #### What Are G2 Users Discussing About Tray.ai? - [What is Tray.io used for?](https://www.g2.com/discussions/what-is-tray-io-used-for) - 1 comment - [What does Tray.io do?](https://www.g2.com/discussions/what-does-tray-io-do) - [Who owns tray io?](https://www.g2.com/discussions/who-owns-tray-io) - [How much does tray IO cost?](https://www.g2.com/discussions/how-much-does-tray-io-cost) - [What is Tray io?](https://www.g2.com/discussions/what-is-tray-io) - 1 comment ### 15. [timextender](https://www.g2.com/products/timextender/reviews) Timextender is a metadata-driven data platform that helps organizations build AI-ready data infrastructure up to 10x faster. The Timextender Data Platform unifies four modules, Data Integration, Data Enrichment, Data Quality, and Orchestration, that together automate the ingestion, governance, and delivery of data across the storage platform of your choice. Timextender is designed to help businesses manage their data infrastructure without extensive manual coding, giving data teams direct control over accuracy, governance, and the pace at which they can put trusted data to work. **Average Rating:** 4.3/5.0 **Total Reviews:** 147 **How Do G2 Users Rate timextender?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.0/10 (Category avg: 8.7/10) - **Auditing:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind timextender?** - **Seller:** [timextender](https://www.g2.com/sellers/timextender) - **Company Website:** https://www.timextender.com - **Year Founded:** 2006 - **HQ Location:** Aarhus, DK - **Twitter:** @timextender (17,630 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timextender/ (92 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Intelligence Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Mid-Market, 34% Small-Business #### What Are timextender's Pros and Cons? **Pros:** - Ease of Use (68 reviews) - Customer Support (33 reviews) - Automation (25 reviews) - Simple (24 reviews) - Time-saving (22 reviews) **Cons:** - Limitations (18 reviews) - Data Management (17 reviews) - Poor Documentation (13 reviews) - Steep Learning Curve (11 reviews) - Error Reporting (9 reviews) ### What Do G2 Reviewers Say About timextender? *AI-generated summary from verified user reviews* **Pros:** - Users find Timextender's **drag-and-drop functionality** greatly enhances usability, facilitating efficient data management for all skill levels. - Users rave about the **superb customer support** from TimeXtender, enhancing their overall experience and satisfaction. - Users value the **automation features** of TimeXtender, streamlining data processes and enhancing efficiency in projects. - Users love the **user-friendly interface** of TimeXtender, making it easy to design and manage data efficiently. - Users find **TimeXtender saves significant time** by streamlining data integration and simplifying workflow tasks efficiently. **Cons:** - Users face **limitations in functions** with TimeXtender, such as lack of offline support and inadequate cloning features. - Users face a **steep learning curve** in data management with TimeXtender, complicating effective usage and configurations. - Users experience **poor documentation** , making it difficult to navigate and understand the product effectively. - Users face a **steep learning curve** with TimeXtender, particularly for RSD-files and complex data transformations. - Users report **unexpected behaviors and issues** with datasource connectors, complicating their experience with large datasets. #### What Are Recent G2 Reviews of timextender? **"[TimeXtender Classic is still a Classic!](https://www.g2.com/survey_responses/timextender-review-11786389)"** **Rating:** 4.5/5.0 stars *— Benjamin P.* [Read full review](https://www.g2.com/survey_responses/timextender-review-11786389) --- **"[Jet Analytics Data Integration (JADI)](https://www.g2.com/survey_responses/timextender-review-8575138)"** **Rating:** 5.0/5.0 stars *— Prabhu S.* [Read full review](https://www.g2.com/survey_responses/timextender-review-8575138) --- #### What Are G2 Users Discussing About timextender? - [How do you use Timextender?](https://www.g2.com/discussions/how-do-you-use-timextender) - [Why use TimeXtender?](https://www.g2.com/discussions/why-use-timextender) - 1 comment - [What is Odx server?](https://www.g2.com/discussions/what-is-odx-server) - 2 comments - [What does TimeXtender do?](https://www.g2.com/discussions/what-does-timextender-do) ### 16. [Integrate.io](https://www.g2.com/products/integrate-io/reviews) Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics **Average Rating:** 4.3/5.0 **Total Reviews:** 211 **How Do G2 Users Rate Integrate.io?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Integrate.io?** - **Seller:** [Integrate.io](https://www.g2.com/sellers/integrate-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @Integrateio (4,285 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709076/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Mid-Market, 32% Small-Business #### What Are Integrate.io's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Customer Support (7 reviews) - Easy Integrations (7 reviews) - Automation (5 reviews) - Easy Setup (5 reviews) **Cons:** - Learning Difficulty (3 reviews) - Limited Integrations (3 reviews) - Poor Documentation (3 reviews) - API Issues (2 reviews) - API Limitations (2 reviews) ### What Do G2 Reviewers Say About Integrate.io? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Integrate.io, highlighting its user-friendly interface and responsive customer support. - Users commend the **exceptional customer support** from Integrate.io, highlighting responsiveness and expertise that enhance their experience. - Users value the **easy integrations** with diverse data sources, enhancing workflow efficiency and simplifying data management. - Users value the **automation capabilities** of Integrate.io, which simplify data pipeline creation and management significantly. - Users commend the **easy setup** of Integrate.io, appreciating its user-friendly interface and low-code functionality. **Cons:** - Users report a **learning difficulty** with advanced features, requiring time and resources to master effectively. - Users note the **limited integrations** , expressing the need for more diverse connectors and enhanced flexibility in workflows. - Users face issues with **poor documentation** , making complex setups and API integrations challenging for developers. - Users highlight that the **API documentation is lacking** , making integration more challenging and limiting potential for developers. - Users find **API limitations** frustrating, particularly due to the lack of detailed documentation and examples for integration. #### What Are Recent G2 Reviews of Integrate.io? **"[Finally stopped worrying about our data pipelines, and that's saying a lot](https://www.g2.com/survey_responses/integrate-io-review-12398331)"** **Rating:** 5.0/5.0 stars *— Abe D.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12398331) --- **"[Effortless Setup, Intuitive Use, and Reliable Performance](https://www.g2.com/survey_responses/integrate-io-review-12841374)"** **Rating:** 5.0/5.0 stars *— Craig P.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12841374) --- #### What Are G2 Users Discussing About Integrate.io? - [What is Integrate.io used for?](https://www.g2.com/discussions/what-is-integrate-io-used-for) ### 17. [TapClicks](https://www.g2.com/products/tapclicks/reviews) TapClicks is a comprehensive marketing operations platform designed to streamline and automate various manual tasks associated with marketing management, such as data integration and reporting. This solution allows users to focus on high-impact activities, including campaign optimization and enhancing customer satisfaction. By offering a suite of tools that encompass reporting, analytics, insights, campaign order management, and marketing workflow tracking, TapClicks empowers organizations to make informed decisions based on real-time data. The platform is particularly beneficial for marketing agencies and organizations that manage multiple clients. TapClicks provides a unified dashboard through its flagship product, TapAnalytics, which consolidates marketing campaign data and performance metrics. This feature enables users to easily manage thousands of clients from a single interface, offering both high-level agency views and customizable client-specific views. Such transparency is essential for maintaining strong client relationships and ensuring that clients are informed about their campaign performance. One of the standout features of TapAnalytics is its ability to deliver real-time analytics and scoring across all campaigns. Utilizing sophisticated algorithms, the platform optimizes campaign performance and uncovers actionable insights that can drive better results. Additionally, the data visualization capabilities of TapClicks bring data to life through interactive timelines, pie charts, geo-mapping, and text widgets, making it easier for users to interpret and present their findings. TapClicks also prioritizes efficiency with its auto-scheduled reporting feature, allowing users to send automated reports in various formats, including HTML, PDF, and Excel. This functionality saves time and ensures that stakeholders receive timely updates without the need for manual intervention. Furthermore, the platform supports over 200 integrations tailored to the needs of agencies of all sizes, enhancing its versatility and making it a valuable tool for marketing professionals. In summary, TapClicks is designed to optimize marketing operations by automating routine tasks and providing a holistic view of marketing activities. With its user-friendly interface, robust analytics capabilities, and extensive integration options, TapClicks stands out as a powerful solution for organizations looking to enhance their marketing efforts and drive meaningful results. **Average Rating:** 4.3/5.0 **Total Reviews:** 315 **How Do G2 Users Rate TapClicks?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) **Who Is the Company Behind TapClicks?** - **Seller:** [TapClicks](https://www.g2.com/sellers/tapclicks) - **Company Website:** https://www.TapClicks.com - **Year Founded:** 2015 - **HQ Location:** San Jose, CA - **Twitter:** @TapClicks (773 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2810260/ (148 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Manager, Digital Marketing Manager - **Top Industries:** Marketing and Advertising, Broadcast Media - **Company Size:** 62% Small-Business, 30% Mid-Market #### What Are TapClicks's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Analytics (3 reviews) - Automation (2 reviews) - Comprehensive (2 reviews) - Data Management (2 reviews) **Cons:** - Connection Issues (1 reviews) - Data Inconsistency (1 reviews) - Data Management Issues (1 reviews) - Difficult Setup (1 reviews) - Lack of Information (1 reviews) ### What Do G2 Reviewers Say About TapClicks? *AI-generated summary from verified user reviews* **Pros:** - Users find TapClicks **exceptionally easy to use** , streamlining data consolidation and enhancing marketing performance efficiently. - Users value the **deeper insights** provided by TapClicks, enabling streamlined marketing operations and enhanced decision-making. - Users value the **automation capabilities** of TapClicks, enabling streamlined data integration and insightful decision-making. - Users value the **comprehensive capabilities** of TapClicks for transforming data into actionable insights and enhancing decision-making. - Users value the **streamlined data management** of TapClicks, enhancing insights and optimizing marketing operations efficiently. **Cons:** - Users often experience **connection issues** that lead to data discrepancies and inadequate customer service responses. - Users often face **data inconsistency issues** with TapClicks, finding customer service responses unhelpful in resolving problems. - Users find the **data management issues** in TapClicks frustrating, citing overwhelming setup and syncing challenges. - Users find the **difficult setup** of TapClicks overwhelming, and data syncing can be less smooth than expected. - Users experience **lack of information** from TapClicks' customer service, leading to unresolved data connection issues. #### What Are Recent G2 Reviews of TapClicks? **"[Great Client Dashboards with Flexible Metrics](https://www.g2.com/survey_responses/tapclicks-review-12676293)"** **Rating:** 5.0/5.0 stars *— Juli L.* [Read full review](https://www.g2.com/survey_responses/tapclicks-review-12676293) --- **"[Exceptionally Useful and Incredibly Easy to Use](https://www.g2.com/survey_responses/tapclicks-review-12113045)"** **Rating:** 4.5/5.0 stars *— Verified User in Publishing* [Read full review](https://www.g2.com/survey_responses/tapclicks-review-12113045) --- #### What Are G2 Users Discussing About TapClicks? - [What is TapClicks used for?](https://www.g2.com/discussions/what-is-tapclicks-used-for) - 1 comment ### 18. [Prophecy](https://www.g2.com/products/prophecy-prophecy/reviews) Prophecy is the agentic data prep and analysis platform that introduces a new data lifecycle—generate, refine, deploy—where AI agents and data teams collaborate through visual, code, and document interfaces to accelerate work and deliver trusted pipelines to production. Leading enterprises rely on Prophecy to power their most demanding data workloads. - Generate a first draft in minutes: Prophecy’s AI agents, built on specialized Claude Code, are experts at generating workflows for your data, accelerating tasks like data transformation and automating others like documentation. - Refine with ease and speed: Our visual analytics workflows (or code, document formats) enable users to quickly understand the AI generated output, and to refine them to 100% complete. Deploy robustly: We provide robust deployment to production built on software best practices. The deployed workflows run at scale, with governance, on your cloud data platform. What are the key features of Prophecy? - Market Leading Data Agents: Specialized Claude Code based AI agents that understand your data and apply data specific skills to generate the best results. - Visual Inspect & Refine: AI generates results as visual data workflows, so business users can quickly inspect the logic, refine it to match their intent, and validate the final output. - Integrated Data Execution: You schedule and monitor workflows. Each reads/writes data using built-in high-performance connectors, and run transforms in Prophecy or your SQL or Spark platforms. - Complete Data Lifecycle: The visual workflows can be deployed to production as high-performance code that runs at scale with governance on Databricks, Snowflake or BigQuery that can be shared. Prophecy finds application across industries such as finance, healthcare, and retail, where data-driven decisions are crucial. Analysts become more productive, and business users now self-serve. Learn more at https://www.prophecy.ai/ **Average Rating:** 4.6/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Prophecy?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.8/10 (Category avg: 8.7/10) - **Auditing:** 8.6/10 (Category avg: 8.1/10) **Who Is the Company Behind Prophecy?** - **Seller:** [Prophecy](https://www.g2.com/sellers/prophecy) - **Year Founded:** 2017 - **HQ Location:** Palo Alto, CA - **Twitter:** @Prophecy_io (370 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/prophecy-io/ (173 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Data Engineer - **Top Industries:** Financial Services, Insurance - **Company Size:** 68% Enterprise, 19% Mid-Market #### What Are Prophecy's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Code Generation (11 reviews) - Customer Support (8 reviews) - Features (8 reviews) - Automation (7 reviews) **Cons:** - Feature Limitations (8 reviews) - Learning Curve (7 reviews) - Missing Features (6 reviews) - Steep Learning Curve (5 reviews) - Difficulty (4 reviews) ### What Do G2 Reviewers Say About Prophecy? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Prophecy, enjoying its elegant UI and low-maintenance pipeline creation. - Users value the **high-quality code generation** in Prophecy, enhancing productivity and simplifying data pipeline design. - Users commend the **exceptional customer support** from Prophecy, with dedicated assistance enhancing their overall experience. - Users appreciate the **robust features** of Prophecy, enhancing productivity and efficiency in managing data pipelines. - Users value the **automation features** of Prophecy, simplifying pipeline creation and enhancing collaboration for teams. **Cons:** - Users note the **feature limitations** of Prophecy, including a slow interface and missing complex data science extensions. - Users report a noticeable **learning curve** with Prophecy, requiring time to master best practices for optimized pipeline design. - Users find Prophecy lacks **advanced features** , requiring support for customization and compatibility with various data sources. - Users often face a **steep learning curve** with Prophecy, requiring time to master its features and best practices. - Users find the **difficulty in identifying pipeline issues** frustrating, requiring extensive log analysis and understanding of syntax. #### What Are Recent G2 Reviews of Prophecy? **"[Prophecy and Samsara Together](https://www.g2.com/survey_responses/prophecy-review-11097313)"** **Rating:** 4.0/5.0 stars *— Robert K.* [Read full review](https://www.g2.com/survey_responses/prophecy-review-11097313) --- **"[Modern Code-First Spark Pipelines with a Clean Visual Interface](https://www.g2.com/survey_responses/prophecy-review-12836664)"** **Rating:** 4.0/5.0 stars *— Paridhi M.* [Read full review](https://www.g2.com/survey_responses/prophecy-review-12836664) --- ### 19. [StarfishETL](https://www.g2.com/products/starfishetl/reviews) StarfishETL for Integration: StarfishETL is an iPaaS (Integration-Platform-as-a-Service) that provides seamless data integration from one database to another - whether hosted, on-premises, or in the Cloud. Connect to more than 400 applications using drag-and-drop low code functionality; AI-enabled mapping, scripting, and SQL query writing; and secure connectivity through on-premises firewalls. StarfishETL for Migration: StarfishETL is loaded with pre-built capabilities, but it's not limited by them. You have the power to set up your project any way you desire to get the data results that fit your business. Add custom fields in our Cloud Cartographer, or use the on-premises tool for more advanced personalization. StarfishETL as an iPaaS: StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution, as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections. **Average Rating:** 4.7/5.0 **Total Reviews:** 75 **How Do G2 Users Rate StarfishETL?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 9.6/10 (Category avg: 8.7/10) - **Auditing:** 9.6/10 (Category avg: 8.1/10) **Who Is the Company Behind StarfishETL?** - **Seller:** [Technology Advisors](https://www.g2.com/sellers/technology-advisors) - **Year Founded:** 1991 - **HQ Location:** Chicago, IL - **LinkedIn® Page:** https://www.linkedin.com/company/starfishetl/ (2 employees on LinkedIn®) - **Phone:** 847-655-3400 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 36% Enterprise, 36% Mid-Market #### What Are Recent G2 Reviews of StarfishETL? **"[StarfishETL was the one software capable of doing this](https://www.g2.com/survey_responses/starfishetl-review-7892321)"** **Rating:** 4.0/5.0 stars *— Charles C.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-7892321) --- **"[Upfront, Honest and Friendly](https://www.g2.com/survey_responses/starfishetl-review-9856115)"** **Rating:** 5.0/5.0 stars *— Kelly P.* [Read full review](https://www.g2.com/survey_responses/starfishetl-review-9856115) --- #### What Are G2 Users Discussing About StarfishETL? - [What is StarfishETL used for?](https://www.g2.com/discussions/what-is-starfishetl-used-for) ### 20. [Informatica Data Engineering](https://www.g2.com/products/informatica-data-engineering/reviews) Informatica Data Engineering is a comprehensive suite of tools designed to empower data engineers in delivering clean, reliable, and accessible data for enterprise AI, machine learning, and analytics initiatives across hybrid and multi-cloud environments. By integrating seamlessly with platforms like Databricks, it facilitates efficient data discovery, ingestion, and processing at scale, leveraging serverless computing to optimize costs and performance. Key Features and Functionality: - Data Engineering Integration: Manages analytics and machine learning data pipelines with intelligent data ingestion and processing capabilities in hybrid, multi-cloud environments. - Data Engineering Streaming: Transforms high volumes of streaming and IoT data into contextualized insights, enabling real-time decision-making. - Data Engineering Quality: Ensures data governance across cloud and hybrid environments, maintaining data trustworthiness and relevance. - Data Engineering Masking: De-identifies sensitive data to minimize risk exposure in applications, business intelligence, AI, and analytics use cases. - Enterprise Data Catalog: Classifies and organizes data assets across various environments to ensure lineage and maximize data value and reuse. - Enterprise Data Preparation: Provides collaborative tools for data analysts and scientists to find, prepare, and ensure data quality for analysis and AI applications. - Mass Ingestion: Enables ingestion of data at scale from diverse sources, including streaming data, files, and databases, through an intuitive five-step wizard. Primary Value and User Solutions: Informatica Data Engineering addresses critical gaps in enterprise AI, machine learning, and analytics initiatives by providing a unified platform for end-to-end data management. It empowers data engineers to efficiently handle complex data workflows, ensuring that data scientists and analysts have access to high-quality, trusted data. This accelerates the development of AI models and analytics, leading to faster, more accurate business insights. The solution's scalability and integration capabilities support organizations in building resilient data architectures that drive informed decision-making and unlock the full potential of their data assets. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Informatica Data Engineering?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 8.7/10 (Category avg: 9.0/10) - **Scalability:** 8.3/10 (Category avg: 8.7/10) - **Auditing:** 7.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Informatica Data Engineering?** - **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?** - **Company Size:** 54% Enterprise, 25% Mid-Market #### What Are Informatica Data Engineering's Pros and Cons? **Pros:** - Automation (1 reviews) - Cloud Integration (1 reviews) - Connectivity (1 reviews) - Data Transformation (1 reviews) - Drag (1 reviews) **Cons:** - Performance Issues (1 reviews) - Slow Data Loading (1 reviews) - Slow Processing (1 reviews) ### What Do G2 Reviewers Say About Informatica Data Engineering? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of Informatica Data Engineering, streamlining data processes for increased efficiency. - Users value the **seamless integration with big data and cloud systems** , greatly enhancing their data workflows' efficiency. - Users value the **excellent connectivity** of Informatica Data Engineering, enhancing efficiency across various data sources effortlessly. - Users value the **seamless integration** of Informatica Data Engineering, greatly enhancing efficiency in data workflows. - Users highly value the **drag-and-drop pipeline design** of Informatica Data Engineering for simplifying ETL workflows efficiently. **Cons:** - Users report **performance issues** with Informatica Data Engineering, especially when handling complex mappings and large datasets. - Users experience **slow data loading** with larger data sets in Informatica Data Engineering, affecting overall efficiency. - Users experience **slow processing** with complex mappings and large data sets in Informatica Data Engineering, affecting efficiency. #### What Are Recent G2 Reviews of Informatica Data Engineering? **"[Seamless ETL and Big Data Integration](https://www.g2.com/survey_responses/informatica-data-engineering-review-12010822)"** **Rating:** 4.5/5.0 stars *— Srinivasreddy J.* [Read full review](https://www.g2.com/survey_responses/informatica-data-engineering-review-12010822) --- **"[Smooth, High-Volume SQL Server to ADLS Ingestion with Informatica](https://www.g2.com/survey_responses/informatica-data-engineering-review-12918276)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/informatica-data-engineering-review-12918276) --- #### What Are G2 Users Discussing About Informatica Data Engineering? - [Is Informatica a data integration tool?](https://www.g2.com/discussions/informatica-data-engineering-is-informatica-a-data-integration-tool) - [Is Informatica a data integration tool?](https://www.g2.com/discussions/is-informatica-a-data-integration-tool) - [What is Informatica Data preparation?](https://www.g2.com/discussions/informatica-data-engineering-what-is-informatica-data-preparation) - [What is Informatica Data preparation?](https://www.g2.com/discussions/what-is-informatica-data-preparation) - [What does Informatica software do?](https://www.g2.com/discussions/informatica-data-engineering-what-does-informatica-software-do) ### 21. [WhereScape RED](https://www.g2.com/products/wherescape-red/reviews) WhereScape RED is a comprehensive data warehouse automation tool designed for developers, focusing on automating development, deployment, and operations of data infrastructure. It streamlines the data warehousing process by automating code generation, documentation updates, and workflow management, and integrates with leading data platforms. The tool supports rapid prototyping, full ELT capabilities, and provides a complete lifecycle management solution, enhancing efficiency and reducing the need for manual coding. **Average Rating:** 3.9/5.0 **Total Reviews:** 35 **How Do G2 Users Rate WhereScape RED?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind WhereScape RED?** - **Seller:** [WhereScape Software](https://www.g2.com/sellers/wherescape-software) - **Year Founded:** 2001 - **HQ Location:** Houston, Texas - **Twitter:** @wherescape (2,816 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wherescape/about (44 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Hospital & Health Care - **Company Size:** 52% Enterprise, 38% Mid-Market #### What Are WhereScape RED's Pros and Cons? **Cons:** - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About WhereScape RED? *AI-generated summary from verified user reviews* **Cons:** - Users find the **poor documentation** of WhereScape RED challenging, leaving them needing better guidance for effective use. #### What Are Recent G2 Reviews of WhereScape RED? **"[Excellent Data Automation Tool](https://www.g2.com/survey_responses/wherescape-red-review-9534316)"** **Rating:** 5.0/5.0 stars *— Michael L.* [Read full review](https://www.g2.com/survey_responses/wherescape-red-review-9534316) --- **"[Powerful template driven code generator](https://www.g2.com/survey_responses/wherescape-red-review-9339277)"** **Rating:** 4.0/5.0 stars *— Luqman Kajee H.* [Read full review](https://www.g2.com/survey_responses/wherescape-red-review-9339277) --- ## 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