# Best ETL Tools ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 254 ### Category Stats (Aug 2026) - **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Adeptia (+0.97%) - Among all products in this category, Adeptia recorded the largest rating increase compared to last month _Last updated: August 05, 2026_ ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,400+ 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. ## 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=23331&focus%5B%5D=989&focus%5B%5D=6073&focus%5B%5D=604&focus%5B%5D=8076&focus%5B%5D=1308796&focus%5B%5D=23920) Highlighted products: Databricks, Celigo, Alteryx, Google Cloud BigQuery, Domo, FME Platform, IBM watsonx.data, and Fivetran. Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=celigo&focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=domo&focus%5B%5D=fme-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=fivetran) **Sponsored** ### Amazon Athena Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance. - Standard SQL Support: Users can run ANSI SQL queries, facilitating easy data analysis without learning new languages. - Broad Data Format Compatibility: Supports various data formats, including CSV, JSON, ORC, Avro, and Parquet, allowing flexibility in data storage and analysis. - Integration with AWS Glue: Seamlessly integrates with AWS Glue Data Catalog for metadata management, enabling schema discovery and versioning. - Security and Compliance: Provides robust security features, including data encryption at rest and in transit, and integrates with AWS Identity and Access Management (IAM) for fine-grained access control. Primary Value and User Solutions: Amazon Athena simplifies the process of analyzing vast amounts of data stored in Amazon S3 by eliminating the need for complex infrastructure setup and management. Its serverless nature and support for standard SQL make it accessible to users with varying levels of technical expertise. By enabling quick, cost-effective querying of large datasets, Athena addresses challenges related to data analysis speed, scalability, and operational overhead, empowering organizations to derive insights efficiently. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-08-18T01%3A13%3A35Z&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=40859&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&secure%5Btoken%5D=bd1a356d5e72a125782742bdecf5a39757558676e4585da48d6700e3aee8a53c&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fathena%2F%3Ftrk%3Dfe12ca5e-123b-4cc4-bd94-0bca0a2c982f%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url) ### [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,336 #### How Do G2 Users Rate Databricks? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.5/10 (Category avg: 8.1/10) #### Who Is the Company Behind Databricks? - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks 92,269 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website) 15,627 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Databricks? _AI-generated summary from verified user reviews_ ##### Pros - Users enjoy the **ease of use and extensive features** of Databricks, streamlining data warehousing and machine learning tasks. - Users appreciate the **ease of use** of Databricks, enhancing their experience with its intuitive interface and efficient features. - Users value the **seamless integrations with AWS services** that enhance efficiency and support diverse business needs. - Users value the **seamless collaboration** provided by Databricks, enhancing teamwork on data projects and insights sharing. - Users value the **wide array of integrated analytical features** in Databricks, enhancing efficiency and collaboration in data projects. ##### Cons - Users face a **steep learning curve** with Databricks, as its complexity can be confusing for newcomers. - Users note that the **cost of Databricks can be quite high** , particularly for large data projects and limited free options. - Users find the **steep learning curve** of Databricks challenging, particularly for those unfamiliar with big data tools. - Users find the **complexity** of Databricks challenging, especially during initial setup and navigation of advanced features. - Users encounter **complex setup** challenges with Databricks initially, but support helps resolve issues quickly. #### What Are Recent G2 Reviews of Databricks? **["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)** **Rating:** 5.0/5.0 stars _— aravind k._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13198355) **["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)** **Rating:** 5.0/5.0 stars _— Diana C._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13181721) #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### [Celigo](https://www.g2.com/products/celigo/reviews) Celigo puts intelligent automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform through a first-of-its-kind natural language interface. The platform is recognized by G2 as #1 in iPaaS and a Leader in API Management, API Marketplace, and EDI and is the only vendor named a 2025 Gartner® Peer Insights™ Customers’ Choice for iPaaS. Learn more at: celigo.com. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,068 #### How Do G2 Users Rate Celigo? - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Celigo? - **Seller:** [Celigo](https://www.g2.com/sellers/celigo) - **Company Website:** www.celigo.com - **Year Founded:** 2011 - **HQ Location:** Redwood City, California - **Twitter:** @celigoinc 1,418 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=62d4b59e1d0308da646469c5a274beead8dbe6d3770aa75cd23cfb98ce47b859&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F275831%2F&secure%5Burl_type%5D=linkedin_company_website) 786 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** NetSuite Administrator, IT Manager - **Top Industries:** Retail, Consumer Goods - **Company Size:** 58% Medium, 37% Small #### What Do G2 Reviewers Say About Celigo? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** in Celigo, appreciating its intuitive interface and effective connectivity options. - Users value the **comprehensive integrations** offered by Celigo, enabling seamless connections with various business systems effortlessly. - Users appreciate the **comprehensive integration capabilities** of Celigo, facilitating connections with various partners seamlessly. - Users praise the **easy integrations** offered by Celigo, especially with NetSuite, appreciating the prebuilt connectors and solid support. - Users praise the **responsive and helpful customer support** from Celigo, making issue resolution seamless. ##### Cons - Users find that **error handling is unclear** , making it challenging to resolve issues and track discrepancies efficiently. - Users note that Celigo can be **expensive** , especially for small businesses needing multiple managed modules. - Users face a notable **learning curve** with Celigo, making initial navigation and understanding of flows challenging. - Users find **pricing issues** with Celigo, noting that costs increase with additional features and managed modules. - Users report that Celigo’s **complexity** can lead to frustration, especially when debugging and understanding data flows. #### What Are Recent G2 Reviews of Celigo? **["Seamless Integration with Exceptional Support"](https://www.g2.com/survey_responses/celigo-review-1996577)** **Rating:** 5.0/5.0 stars _— Steve B._ [Read full review](https://www.g2.com/survey_responses/celigo-review-1996577) **["A trusted integration partner for Shopify and ERP projects"](https://www.g2.com/survey_responses/celigo-review-13172761)** **Rating:** 5.0/5.0 stars _— Sergiu T._ [Read full review](https://www.g2.com/survey_responses/celigo-review-13172761) #### What Are G2 Users Discussing About Celigo? - [What is Celigo used for?](https://www.g2.com/discussions/what-is-celigo-used-for) ### [Alteryx](https://www.g2.com/products/alteryx/reviews) Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 861 #### How Do G2 Users Rate Alteryx? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 9.7/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Alteryx? - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** www.alteryx.com - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx 26,149 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website) 2,304 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Financial Services, Accounting - **Company Size:** 63% Large, 21% Medium #### What Do G2 Reviewers Say About Alteryx? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** in Alteryx, finding it simple to automate tasks with drag and drop functionality. - Users value the **automation capabilities** of Alteryx, streamlining data processes and enhancing analytical efficiency. - Users find Alteryx to be **very intuitive** , making it easy for non-technical users to learn and utilize. - Users find that Alteryx's interface makes **learning technology easy** for everyone, even those without a tech background. - Users value Alteryx for its **efficiency** in managing data, streamlining workflows, and enhancing overall productivity. ##### Cons - Users highlight the **expensive pricing** of Alteryx, making it difficult for small teams or startups to afford licenses. - Users face a **steep learning curve** with Alteryx, requiring time to master its complex features. - Users find that Alteryx suffers from **missing features** , such as lack of direct database access and limited reporting tools. - Users find the **learning difficulty** of Alteryx steep, especially for those unfamiliar with RegEx and SQL. - Users experience **slow performance** with Alteryx, particularly when handling large workflows and during data wrangling tasks. #### What Are Recent G2 Reviews of Alteryx? **["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)** **Rating:** 4.5/5.0 stars _— Anushka S._ [Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742) **["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)** **Rating:** 4.5/5.0 stars _— Ihor B._ [Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637) ### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,145 #### How Do G2 Users Rate Google Cloud BigQuery? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Google Cloud BigQuery? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Large, 35% Medium #### What Do G2 Reviewers Say About Google Cloud BigQuery? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure. - Users appreciate the **incredible speed** of BigQuery, making data processing effortless and efficient for large datasets. - Users value the **seamless integrations** of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly. - Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly. - Users value the **query efficiency** of BigQuery, enabling fast analysis of massive datasets with minimal effort. ##### Cons - Users find the **cost structure expensive** , especially with complex queries leading to rapidly escalating charges. - Users often face **query issues** with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting. - Users find the **cost management challenging** , facing unpredictable pricing and needing strict governance to maintain budgets. - Users face **cost issues** with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges. - Users find the **steep learning curve** for advanced features challenging, requiring significant time and effort to master. #### What Are Recent G2 Reviews of Google Cloud BigQuery? **["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)** **Rating:** 4.0/5.0 stars _— Reetika P._ [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418) **["Scalable, Secure BigQuery That Connects Seamlessly Across Services"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)** **Rating:** 5.0/5.0 stars _— Aayush M._ [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747) #### What Are G2 Users Discussing About Google Cloud BigQuery? - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment - [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment ### [FME Platform](https://www.g2.com/products/fme-platform/reviews) FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, or stream processing, FME delivers you no-code business orchestration and automation. All Data Locations - Wherever your data is - in the cloud, on-premises, or both - FME matches your data landscape with processing, increasing scalability, agility, and security. All Data Types - From databases to business systems to IoT, you name it, we connect it. As the only integration platform with support for spatial data, FME delivers new insights so you can make better decisions and stay ahead of the competition. Any AI Technology - Power your workflows with the right data at the right time regardless of modality, location or data velocity. FME powers real-time, context-aware automation, scaling AI where and how you need it. **Average Rating:** 4.6/5.0 **Total Reviews:** 134 #### How Do G2 Users Rate FME Platform? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.3/10 (Category avg: 9.0/10) - **Scalability:** 8.2/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind FME Platform? - **Seller:** [Safe Software](https://www.g2.com/sellers/safe-software) - **Company Website:** fme.safe.com - **Year Founded:** 1993 - **HQ Location:** British Columbia, Canada - **Twitter:** @SafeSoftware 4,972 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f51fda03ec1714e4e9b70cd5c252a3781277b1ecefb3ddfb641e6af2f11170f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F50027%2F&secure%5Burl_type%5D=linkedin_company_website) 346 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Analyst, GIS Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 46% Medium, 25% Small #### What Do G2 Reviewers Say About FME Platform? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **user-friendly interface** of FME Platform, making data workflows efficient and enjoyable to manage. - Users value the **widespread data handling capabilities** of the FME Platform, simplifying complex data workflows seamlessly. - Users laud FME Platform for its **automation capabilities** , enhancing productivity and streamlining complex data workflows effortlessly. - Users value the **powerful automation and flexibility** of FME Platform, enhancing data workflows and productivity significantly. - Users value the **versatile data transformation capabilities** of FME Platform, enhancing workflows and enabling efficient data handling. ##### Cons - Users often find the **excessive complexity** of FME Platform's automation features overwhelming, especially for less technical users. - Users find the **pricing model expensive** , particularly impacting smaller teams and individual power users seeking affordable options. - Users face a **steep learning curve** with FME Platform, particularly due to its complex UI and technical demands. - Users find the **steep learning curve** of FME Platform challenging, complicating their ability to navigate and understand the software. - Users express concerns over **pricing issues** , finding it increasingly expensive and unfavorable for smaller teams and individual users. #### What Are Recent G2 Reviews of FME Platform? **["Powerful No-Code ETL with Visual Workflows and Extensive Transformers"](https://www.g2.com/survey_responses/fme-platform-review-13224329)** **Rating:** 4.5/5.0 stars _— Sujal S._ [Read full review](https://www.g2.com/survey_responses/fme-platform-review-13224329) **["No-Code Data Workflows with Powerful Multi-Format Support"](https://www.g2.com/survey_responses/fme-platform-review-13235376)** **Rating:** 5.0/5.0 stars _— Rahul G._ [Read full review](https://www.g2.com/survey_responses/fme-platform-review-13235376) #### What Are G2 Users Discussing About FME Platform? - [What does FME stand for in FME Server?](https://www.g2.com/discussions/what-does-fme-stand-for-in-fme-server) - [Is FME an ETL?](https://www.g2.com/discussions/is-fme-an-etl) - [What is FME process?](https://www.g2.com/discussions/what-is-fme-process) - [What is FME software used for?](https://www.g2.com/discussions/what-is-fme-software-used-for) ### [Domo](https://www.g2.com/products/domo/reviews) Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. **Average Rating:** 4.3/5.0 **Total Reviews:** 1,066 #### How Do G2 Users Rate Domo? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.5/10 (Category avg: 9.0/10) - **Scalability:** 7.9/10 (Category avg: 8.7/10) - **Auditing:** 7.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Domo? - **Seller:** [Domo](https://www.g2.com/sellers/domo) - **Company Website:** www.domo.com - **Year Founded:** 2010 - **HQ Location:** American Fork, UT - **Twitter:** @Domotalk 63,513 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website) 1,288 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 50% Medium, 28% Large #### What Do G2 Reviewers Say About Domo? _AI-generated summary from verified user reviews_ ##### Pros - Users find Domo's **ease of use** and intuitive design invaluable for managing data efficiently and effectively. - Users value the **flexible and user-friendly data visualization** capabilities of Domo, enhancing their data analysis experience significantly. - Users find Domo's **intuitive design** empowering, facilitating easy access and effective data visualization for all skill levels. - Users praise Domo for its **easy integrations** , streamlining data management and enhancing real-time collaboration across various platforms. - Users value Domo's **seamless integration capabilities** , enabling efficient data management and real-time insights from various sources. ##### Cons - Users find the **learning curve steep** , often needing dedicated resources to manage updates and functionalities effectively. - Users report **missing features** in Domo, including flexibility in pivot charts and dynamic column options. - Users face significant **data management issues** with Domo, including unreliable connectors and challenging reporting functionality. - Users find Domo **expensive** , especially with drastic price increases that strain budgets and erode client trust. - Users find Domo's **complexity** hinders flexibility and speed in dataset management, making changes challenging and time-consuming. #### What Are Recent G2 Reviews of Domo? **["Fast, Reliable Dashboarding with Quick Data Connections in Domo"](https://www.g2.com/survey_responses/domo-review-13150907)** **Rating:** 4.5/5.0 stars _— Katie S._ [Read full review](https://www.g2.com/survey_responses/domo-review-13150907) **["Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"](https://www.g2.com/survey_responses/domo-review-13128007)** **Rating:** 5.0/5.0 stars _— Renee G._ [Read full review](https://www.g2.com/survey_responses/domo-review-13128007) #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) - [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good) - [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do) ### [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial **Average Rating:** 4.4/5.0 **Total Reviews:** 168 #### How Do G2 Users Rate IBM watsonx.data? - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 8.0/10 (Category avg: 8.7/10) - **Auditing:** 5.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind IBM watsonx.data? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 34% Small, 32% Large #### What Do G2 Reviewers Say About IBM watsonx.data? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of IBM watsonx.data, finding it reliable and efficient for data management. - Users value the **seamless data integration** and user-friendly interface of IBM watsonx.data for efficient analytics. - Users appreciate the **organized and efficient data management** of IBM watsonx.data, simplifying analytics and enhancing team collaboration. - Users value the **seamless data source integration** of IBM watsonx.data, enhancing efficiency and flexibility in their workflows. - Users appreciate the **flexible analytics capabilities** of IBM watsonx.data, enabling faster insights from diverse data sources. ##### Cons - Users find the **steep learning curve** of IBM watsonx.data challenging, hindering easy adoption for newcomers. - Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers and small teams. - Users find the **pricing steep** for IBM watsonx.data, especially for smaller businesses with limited resources. - Users find the **difficult setup** process time-consuming, with a steep learning curve and extensive documentation review required. - Users find **performance tuning difficult** with IBM watsonx.data, especially for beginners and teams with limited IT resources. #### What Are Recent G2 Reviews of IBM watsonx.data? **["Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)** **Rating:** 4.0/5.0 stars _— Aliasgar B._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444) **["Flexible and Scalable Data Platform for Analytics and AI"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034)** **Rating:** 5.0/5.0 stars _— Nishant V._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034) ### [Fivetran](https://www.g2.com/products/fivetran/reviews) Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines. **Average Rating:** 4.3/5.0 **Total Reviews:** 808 #### How Do G2 Users Rate Fivetran? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 7.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Fivetran? - **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran) - **Company Website:** www.fivetran.com - **Year Founded:** 2012 - **HQ Location:** Oakland, CA - **Twitter:** @fivetran 5,767 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website) 1,848 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Medium, 27% Small #### What Do G2 Reviewers Say About Fivetran? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of integration and maintenance** with Fivetran, enhancing their ROI and workflow efficiency. - Users value the **easy setup** of Fivetran, appreciating its seamless integration with existing applications. - Users value the **easy integration** of Fivetran, seamlessly connecting with existing applications and enhancing data access. - Users value the **responsive customer support** from Fivetran, enhancing their overall experience and satisfaction. - Users appreciate the **intuitive and simple layout** of Fivetran, making data management efficient and accessible. ##### Cons - Users report experiencing **sync issues** that disrupt functionality, causing unpredictable failures and complications in workflow management. - Users find Fivetran's **pricing to be quite expensive** , which limits accessibility and flexibility for wider usage. - Users face **integration issues** with Fivetran, particularly regarding schema ownership and modifying connections amidst platform changes. - Users find the **learning curve steep** , requiring technical knowledge to navigate Fivetran effectively at first. - Users find Fivetran's **pricing issues** hinder accessibility and flexibility, making it less feasible for broader use. #### What Are Recent G2 Reviews of Fivetran? **["No-Code, Self-Monitoring Pipelines with Connectors That Just Work"](https://www.g2.com/survey_responses/fivetran-review-13137995)** **Rating:** 5.0/5.0 stars _— Umesh ._ [Read full review](https://www.g2.com/survey_responses/fivetran-review-13137995) **["Fast, Reliable No-Code Data Integrations with Huge ROI"](https://www.g2.com/survey_responses/fivetran-review-13138238)** **Rating:** 4.5/5.0 stars _— Jose Maria P._ [Read full review](https://www.g2.com/survey_responses/fivetran-review-13138238) #### What Are G2 Users Discussing About Fivetran? - [What is Fivetran used for?](https://www.g2.com/discussions/fivetran-what-is-fivetran-used-for) - 1 comment - [What is Census used for?](https://www.g2.com/discussions/what-is-census-used-for) - [Who owns Fivetran?](https://www.g2.com/discussions/who-owns-fivetran) - [How much does Fivetran cost?](https://www.g2.com/discussions/how-much-does-fivetran-cost) - 1 comment - [Is Fivetran an ETL tool?](https://www.g2.com/discussions/is-fivetran-an-etl-tool) - 2 comments ### [Workato](https://www.g2.com/products/workato/reviews) Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise. **Average Rating:** 4.7/5.0 **Total Reviews:** 748 #### How Do G2 Users Rate Workato? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Workato? - **Seller:** [Workato](https://www.g2.com/sellers/workato) - **Company Website:** www.workato.com - **Year Founded:** 2013 - **HQ Location:** Mountain View, California - **Twitter:** @Workato 3,641 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=229b7e77382a8d2c3a0aeebe68dfc2316ea2caa6dd5d95ed0ee0d08884e6fc88&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675685&secure%5Burl_type%5D=linkedin_company_website) 1,401 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Medium, 33% Large #### What Do G2 Reviewers Say About Workato? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Workato, enabling quick automation without needing technical expertise. - Users love the **easy integrations** with Workato, allowing quick automation of tools like Salesforce and Slack. - Users love how Workato's **easy integrations** simplify automation, saving them hours and making processes seamless. - Users value the **user-friendly and low-code interface** of Workato, making business process automation seamless and efficient. - Users appreciate the **ease of automation** with Workato, enabling seamless integrations and saving significant time on repetitive tasks. ##### Cons - Users often find the **complexity of Workato** overwhelming, particularly regarding pricing and onboarding, leading to confusion. - Users find the **learning curve steep** , with complexity and confusion hindering smooth onboarding and workflow management. - Users are frustrated by **data limitations** in Workato, impacting email sends, job reporting, and large file transfers. - Users find the **missing features** in Workato's connector library limit their integration capabilities with lesser-known applications. - Users find the **steep learning curve** of Workato daunting, especially during onboarding and initial usage. #### What Are Recent G2 Reviews of Workato? **["Workato helps us building complex integrations at lightning speed."](https://www.g2.com/survey_responses/workato-review-10305521)** **Rating:** 5.0/5.0 stars _— Sreenath B._ [Read full review](https://www.g2.com/survey_responses/workato-review-10305521) **["The Platform That Grew With Us"](https://www.g2.com/survey_responses/workato-review-12941177)** **Rating:** 5.0/5.0 stars _— Anshu b._ [Read full review](https://www.g2.com/survey_responses/workato-review-12941177) #### What Are G2 Users Discussing About Workato? - [What does Workato do?](https://www.g2.com/discussions/what-does-workato-do) - [How much does Workato cost?](https://www.g2.com/discussions/how-much-does-workato-cost) - 1 comment - [What is a Workato recipe?](https://www.g2.com/discussions/what-is-a-workato-recipe) - 3 comments - [What is Workato used for?](https://www.g2.com/discussions/what-is-workato-used-for) ### [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) The SnapLogic Platform is an agentic integration and automation solution designed to assist enterprise teams in connecting applications, data sources, and APIs while orchestrating AI-powered workflows across both cloud and on-premises environments. Established in 2006 and headquartered in San Mateo, California, SnapLogic serves a diverse range of industries, including financial services, pharmaceuticals, manufacturing, software, and higher education, with a global presence across North America, Europe, and Asia Pacific. Targeted primarily at IT teams, data engineers, and integration specialists, the SnapLogic Platform addresses the critical need for seamless data movement between systems, automation of business processes, and governance of AI agent activities at scale. The platform supports various use cases, including application integration, data pipeline management, API lifecycle management, legacy system modernization, and enterprise AI orchestration. This versatility makes it a valuable tool for organizations looking to enhance their operational efficiency and data accessibility. Key features of the SnapLogic Platform include a visual, low-code pipeline builder that allows teams to create, test, and deploy integrations without the need for extensive coding knowledge. This drag-and-drop designer significantly reduces reliance on developer resources, enabling quicker project turnaround. Additionally, the platform boasts a pre-built Snaps connector library, offering over 1,000 reusable connectors for various enterprise applications, databases, cloud services, and data platforms. This extensive library supports both simple and complex integration patterns, streamlining the integration process. Another notable feature is SnapGPT, an AI co-pilot integrated into the platform that assists users in generating integration pipelines, suggesting data mappings, and troubleshooting issues using natural language inputs. This innovative tool enhances user experience and efficiency, making it easier for teams to navigate the complexities of integration. The platform also includes robust API management tools for creating, publishing, securing, and monitoring APIs, facilitating the exposure and consumption of data services across internal and external systems. Moreover, SnapLogic enables agentic workflow automation, allowing users to design and orchestrate AI agents that execute multi-step business processes. With built-in support for the Model Context Protocol (MCP), organizations can effectively manage agent interactions across various models and tools. The platform also supports data integration and transformation for batch, real-time, and streaming data pipelines, equipped with capabilities for mapping, enrichment, and transformation of both structured and unstructured data. Centralized monitoring and governance features provide a unified dashboard for tracking pipeline performance, managing access controls, and ensuring auditability across all integration and automation activities. The SnapLogic Platform addresses common challenges organizations face when scaling their technology operations: fragmented data across disconnected systems, high integration development costs, and the complexity of deploying AI in regulated or mission-critical environments. By providing a unified platform for both traditional integration and agentic automation, it reduces reliance on custom-coded connectors and enables teams to build and manage integrations without requiring deep software engineering expertise. **Average Rating:** 4.4/5.0 **Total Reviews:** 379 #### How Do G2 Users Rate SnapLogic Intelligent Integration Platform (IIP)? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 8.6/10 (Category avg: 9.0/10) - **Scalability:** 8.4/10 (Category avg: 8.7/10) - **Auditing:** 8.1/10 (Category avg: 8.1/10) #### Who Is the Company Behind SnapLogic Intelligent Integration Platform (IIP)? - **Seller:** [SnapLogic](https://www.g2.com/sellers/snaplogic) - **Company Website:** www.snaplogic.com - **Year Founded:** 2006 - **HQ Location:** San Mateo, CA - **Twitter:** @SnapLogic 7,348 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5261a75f1a744444604a852bca79d92e4b9b8336bca6cd31b6688370561a9346&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F210766%2F&secure%5Burl_type%5D=linkedin_company_website) 305 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Large, 36% Medium #### What Do G2 Reviewers Say About SnapLogic Intelligent Integration Platform (IIP)? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of SnapLogic IIP, enabling quick connections and streamlined workflows without extensive coding. - Users highly value the **easy integrations** offered by SnapLogic, making complex data management tasks simple and efficient. - Users appreciate the **easy integration capability** of SnapLogic, enabling seamless connections between various tools and systems. - Users appreciate the **intuitive user interface** of SnapLogic IIP, enabling easy and efficient complex integrations. - Users value the **automation capabilities** of SnapLogic IIP, streamlining complex integrations and enhancing workflow efficiency. ##### Cons - Users face **performance issues** with slow loading and frequent memory problems when handling large datasets in SnapLogic. - Users find **technical difficulties** with SnapLogic, including complex transformations, debugging challenges, and performance issues. - Users experience **poor performance** when processing large workloads, leading to frustration and inefficiency during integration tasks. - Users find the **debugging complexity** challenging, leading to confusion and impacting their overall experience with SnapLogic IIP. - Users find that **error reporting lacks detail** , making troubleshooting a time-consuming and confusing process. #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **["Fast, Scalable Integrations with SnapLogic’s Intuitive Drag-and-Drop Designer"](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13212820)** **Rating:** 5.0/5.0 stars _— Ramakrishna k._ [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13212820) **["Super fast integrations—saves tons of coding headache!"](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310)** **Rating:** 5.0/5.0 stars _— Pavan Simhadri D._ [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310) #### What Are G2 Users Discussing About SnapLogic Intelligent Integration Platform (IIP)? - [What is SnapLogic Intelligent Integration Platform (IIP) used for?](https://www.g2.com/discussions/what-is-snaplogic-intelligent-integration-platform-iip-used-for) - 1 comment ### [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:** 320 #### 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:** 9.3/10 (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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=79979469a3bee56c782598382543e7a4af65b7f1bcf71aea7d9fde07241e81e6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F800325%2F&secure%5Burl_type%5D=linkedin_company_website) 249 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, CTO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Small, 42% Medium #### What Do G2 Reviewers Say About Skyvia? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **intuitive interface** of Skyvia, making data integration tasks quick and straightforward. - Users appreciate the **easy integrations** provided by Skyvia, enhancing their workflow across multiple platforms effortlessly. - Users find the **easy setup** of Skyvia invaluable, making data integration straightforward and hassle-free for teams. - Users laud the **easy setup** of Skyvia, making integration fast and user-friendly without any coding required. - Users value the **easy integrations** provided by Skyvia, making complex connections simple and efficient. ##### Cons - Users note an **information deficiency** in Skyvia, citing a lack of detailed documentation and insufficient logging for troubleshooting. - Users find the **difficult setup** of Skyvia challenging, especially with large datasets and complex integrations. - Users find the **learning curve steep** initially, needing time to fully grasp the platform's functionalities. - Users find the **poor documentation** of Skyvia limits effective use, suggesting improvements for clarity and real-world examples. - Users face **setup difficulties** with large datasets and field mapping, which may require extra time and effort. #### What Are Recent G2 Reviews of Skyvia? **["Easy, No-Code Data Sync Setup with Straightforward Pricing"](https://www.g2.com/survey_responses/skyvia-review-12828558)** **Rating:** 5.0/5.0 stars _— Emily C._ [Read full review](https://www.g2.com/survey_responses/skyvia-review-12828558) **["Straightforward, Reliable Data Sync Between Cloud Apps and Databases"](https://www.g2.com/survey_responses/skyvia-review-12843850)** **Rating:** 5.0/5.0 stars _— Marcus W._ [Read full review](https://www.g2.com/survey_responses/skyvia-review-12843850) #### What Are G2 Users Discussing About Skyvia? - [What is Skyvia used for?](https://www.g2.com/discussions/what-is-skyvia-used-for) - 1 comment ### [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies. **Average Rating:** 4.6/5.0 **Total Reviews:** 96 #### How Do G2 Users Rate Azure Data Factory? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.1/10 (Category avg: 8.7/10) - **Auditing:** 8.4/10 (Category avg: 8.1/10) #### Who Is the Company Behind Azure Data Factory? - **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft) - **Year Founded:** 1975 - **HQ Location:** Redmond, Washington - **Twitter:** @microsoft 13,091,739 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website) 231,632 employees on LinkedIn® - **Ownership:** MSFT #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 59% Large, 31% Medium #### What Do G2 Reviewers Say About Azure Data Factory? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows across multiple sources. - Users value the **ease of use** of Azure Data Factory, simplifying data integration with a low-code, visual interface. - Users highlight the **ease of connecting various data sources** in Azure Data Factory, simplifying data integration significantly. - Users value the **seamless integration capabilities** of Azure Data Factory for efficient data movement and automation. - Users value the **scalability** of Azure Data Factory, enabling seamless integration and management of large data workflows effortlessly. ##### Cons - Users find **debugging difficult** in Azure Data Factory, citing limitations and a complex experience for troubleshooting pipelines. - Users find **difficult debugging** in Azure Data Factory frustrating, particularly with complex pipelines and limited troubleshooting tools. - Users find Azure Data Factory **expensive** due to potential high costs from large data volumes and frequent pipeline usage. - Users find **feature limitations** in Azure Data Factory, particularly in logging, monitoring, and complex transformations. - Users express frustration with the **complexity** of Azure Data Factory, citing challenges in debugging and managing intricate workflows. #### What Are Recent G2 Reviews of Azure Data Factory? **["Intuitive, Scalable Data Integration with Azure Data Factory"](https://www.g2.com/survey_responses/azure-data-factory-review-12454264)** **Rating:** 4.5/5.0 stars _— Alan R._ [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12454264) **["Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users"](https://www.g2.com/survey_responses/azure-data-factory-review-12746463)** **Rating:** 4.5/5.0 stars _— Shyam s._ [Read full review](https://www.g2.com/survey_responses/azure-data-factory-review-12746463) #### What Are G2 Users Discussing About Azure Data Factory? - [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) - 2 comments - [What are the additional capabilities of data Factory?](https://www.g2.com/discussions/what-are-the-additional-capabilities-of-data-factory) - [Which 3 types of activities can you run in Microsoft Azure data Factory?](https://www.g2.com/discussions/which-3-types-of-activities-can-you-run-in-microsoft-azure-data-factory) - [What does Azure data/factory do?](https://www.g2.com/discussions/what-does-azure-data-factory-do) ### [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies. **Average Rating:** 4.7/5.0 **Total Reviews:** 120 #### How Do G2 Users Rate Boomi Data Integration? - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind Boomi Data Integration? - **Seller:** [Boomi](https://www.g2.com/sellers/boomi) - **Year Founded:** 2000 - **HQ Location:** Conshohocken, PA - **Twitter:** @boomi 101,014 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=48e58db8d91e1da54d6b476d5f5c5a2d98aab91fa1d98184cfcc08cb78bcfd9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fboomi-inc%2F&secure%5Burl_type%5D=linkedin_company_website) 3,024 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Medium, 36% Small #### What Do G2 Reviewers Say About Boomi Data Integration? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Boomi Data Integration, finding it user-friendly and efficient for their needs. - Users commend the **excellent customer support** of Boomi Data Integration, enhancing their implementation and troubleshooting experiences. - Users commend **Rivery's comprehensive data connectors** , facilitating seamless integration and efficient reporting across platforms. - Users greatly value the **automation capabilities** of Boomi Data Integration, enhancing efficiency in data management processes. - Users find **implementation easy** with Boomi Data Integration, praising its user-friendliness and excellent customer support. ##### Cons - Users face **data limitations** with Boomi Data Integration, often struggling with missing documentation and incomplete fields. - Users often face **information deficiency** with Boomi Data Integration, leading to challenges in connecting different data sources effectively. - Users face **insufficient information** when connecting to data sources, leading to challenges in accessing necessary fields. - Users express concerns over the **lack of available features** , including missing documentation and limited data field access. - Users experience **limited features** as some data sources lack documentation and necessary report fields, hindering integration efforts. #### What Are Recent G2 Reviews of Boomi Data Integration? **["Actual review of ELT Tool Rivery"](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408)** **Rating:** 5.0/5.0 stars _— Amit K._ [Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-10179408) **["Boomi Data Integration: Fast, Reliable Integrations at Scale"](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768)** **Rating:** 5.0/5.0 stars _— Takkellapati S._ [Read full review](https://www.g2.com/survey_responses/boomi-data-integration-review-12546768) #### What Are G2 Users Discussing About Boomi Data Integration? - [What advice do you have for others considering Rivery for data integration and pipeline management?](https://www.g2.com/discussions/what-advice-do-you-have-for-others-considering-rivery-for-data-integration-and-pipeline-management) - [What is the use of Rivery?](https://www.g2.com/discussions/what-is-the-use-of-rivery) - 2 comments - [How much does Rivery cost?](https://www.g2.com/discussions/how-much-does-rivery-cost) - 1 comment - [What does Rivery do?](https://www.g2.com/discussions/what-does-rivery-do) - 1 comment ### [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration. **Average Rating:** 4.0/5.0 **Total Reviews:** 114 #### How Do G2 Users Rate IBM StreamSets? - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 7.7/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 7.2/10 (Category avg: 8.1/10) #### Who Is the Company Behind IBM StreamSets? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Large, 34% Medium #### What Do G2 Reviewers Say About IBM StreamSets? _AI-generated summary from verified user reviews_ ##### Pros - Users find IBM StreamSets to offer **ease of use** with its intuitive interface and beginner-friendly pipeline creation. - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging efficiency. - Users love the **effective data management** capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments. - Users appreciate the **simplicity of data integration workflows** in IBM StreamSets, enjoying its intuitive visual pipeline design. - Users appreciate the **wide range of integrations** in IBM StreamSets, enhancing real-time data handling and simplifying workflows. ##### Cons - Users struggle with the **steep learning curve** of IBM StreamSets, highlighting the need for deeper technical knowledge and better guidance. - Users find the **cost of IBM StreamSets** to be a concern, especially for smaller teams with limited budgets. - Users find the **learning difficulty** of advanced features in StreamSets challenging, impacting onboarding and overall experience. - Users experience **slow performance** with IBM StreamSets, particularly when managing large data volumes or complex configurations. - Users struggle with the **steep learning curve** of IBM StreamSets, requiring deep technical knowledge to use advanced features. #### What Are Recent G2 Reviews of IBM StreamSets? **["Powerful Data Integration With IBM Stream sets."](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)** **Rating:** 5.0/5.0 stars _— Abhishek D._ [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) **["Simplifies Real-Time Data Pipelines with Mixed Customization"](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)** **Rating:** 4.0/5.0 stars _— Sravya A._ [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) - [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free) - [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment ### [5X](https://www.g2.com/products/5x/reviews) 5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free. **Average Rating:** 4.9/5.0 **Total Reviews:** 81 #### How Do G2 Users Rate 5X? - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 9.5/10 (Category avg: 8.7/10) - **Auditing:** 9.4/10 (Category avg: 8.1/10) #### Who Is the Company Behind 5X? - **Seller:** [5X](https://www.g2.com/sellers/5x) - **Year Founded:** 2020 - **HQ Location:** San Francisco - **Twitter:** @DataWith5x 49 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=123d4698fdf0b6036b49dc7dd7e99f12fd6c91a432ee93cdc153ec13a4d274d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatawith5x%2F&secure%5Burl_type%5D=linkedin_company_website) 111 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Financial Services - **Company Size:** 56% Medium, 40% Small #### What Do G2 Reviewers Say About 5X? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of 5X, thanks to its intuitive interface and seamless integration with existing tools. - Users appreciate the **responsive customer support** of 5X, enhancing their overall experience with swift feature updates. - Users value the **seamless integration capabilities** of 5X, enhancing efficiency in managing diverse data sources effortlessly. - Users value the **easy integrations** of 5X, which enhance their data ingestion processes and overall operational efficiency. - Users value the **seamless integration and intuitive design** of 5X, enabling efficient data management and automation. ##### Cons - New users face a **steep learning curve** , but training helps ease the transition to the platform's features. - Users find the **setup process complex** , leading to delays and challenges in implementing advanced features and workflows. - Users find a **steep learning curve** initially, but become proficient with training and support over time. - Users find the **difficult setup** of 5X challenging due to complexity and a steep learning curve. - Users note the **feature limitations** of 5X, as some advanced options are still in development and may require patience. #### What Are Recent G2 Reviews of 5X? **["A reliable and scalable data partner"](https://www.g2.com/survey_responses/5x-review-11889175)** **Rating:** 5.0/5.0 stars _— Varinderjit K._ [Read full review](https://www.g2.com/survey_responses/5x-review-11889175) **["Exceptional Support and User-Friendly Platform Driving Our Data Transformation"](https://www.g2.com/survey_responses/5x-review-11903408)** **Rating:** 4.0/5.0 stars _— Shuming F._ [Read full review](https://www.g2.com/survey_responses/5x-review-11903408) - ‹ Prev ‹ Prev - 1 - [2](/categories/etl-tools?order=g2_score&page=2#product-list) - [3](/categories/etl-tools?order=g2_score&page=3#product-list) - [4](/categories/etl-tools?order=g2_score&page=4#product-list) - [5](/categories/etl-tools?order=g2_score&page=5#product-list) - … - [16](/categories/etl-tools?order=g2_score&page=16#product-list) - [17](/categories/etl-tools?order=g2_score&page=17#product-list) - [Next › Next ›](/categories/etl-tools?order=g2_score&page=2#product-list) Spotlight Categories [Product Lifecycle Management (PLM) Software](https://www.g2.com/categories/product-lifecycle-management-plm) [Chatbots Software](https://www.g2.com/categories/chatbots) [Sales Enablement Software](https://www.g2.com/categories/sales-enablement) [Lead Intelligence Software](https://www.g2.com/categories/lead-intelligence) [Auto Dialer Software](https://www.g2.com/categories/auto-dialer) Similar Categories - [Big Data Integration Platforms](/categories/big-data-integration-platforms) - [Cloud Migration](/categories/cloud-migration) - [Embedded Integration Platforms](/categories/embedded-integration-platforms) - [Enterprise Service Bus (ESB)](/categories/enterprise-service-bus-esb) - [iPaaS](/categories/ipaas) - [Reverse ETL](/categories/reverse-etl) - [Stream Analytics](/categories/stream-analytics) [Browse ETL Tools Themes](/categories/etl-tools/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated April 9, 2026 ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading. ### Core Capabilities of ETL Tools To qualify for inclusion in the ETL category, a product must: - Facilitate extract, transform, and load processes - Transform data for quality or visualization - Audit or record integration data - Archive data for backup, future reference, or analysis ### Common Use Cases for ETL Tools Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include: - Replicating data from source systems into [data warehouses](https://www.g2.com/categories/data-warehouse) for centralized analytics - Cleansing and transforming raw data into structured, queryable formats - Building visual data workflows to automate recurring data transfer and integration processes ### How ETL Tools Differ from Other Tools ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While [data integration tools](https://www.g2.com/categories/data-integration-tools) cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities. ### Insights from G2 on ETL Tools Based on category trends on G2, visual workflow builders and pre-built connectors stand out as standout features. These platforms deliver reductions in manual data preparation time and improved data quality as core benefits of ETL adoption. Top Tools at a Glance | Product | Best for | User Review | | --- | --- | --- | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,363)](https://www.g2.com/products/databricks/reviews) | Unified lakehouse pipelines with governance and ML workflows | "Reliable Platform for Building Scalable Data Pipelines" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dc1ebe6ea7ff0dbb1035934f68104ac4/celigo.jpg "Product Avatar Image")](https://www.g2.com/products/celigo/reviews)[Celigo](https://www.g2.com/products/celigo/reviews)[4.6/5(1,103)](https://www.g2.com/products/celigo/reviews) | NetSuite-centered app integration and sync | "Seamless Integration with Exceptional Support" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")](https://www.g2.com/products/alteryx/reviews)[Alteryx](https://www.g2.com/products/alteryx/reviews)[4.6/5(894)](https://www.g2.com/products/alteryx/reviews) | Drag-and-drop data prep and reporting automation | "Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-bigquery/reviews)[BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)[4.5/5(1,224)](https://www.g2.com/products/google-cloud-bigquery/reviews) | Serverless analytics on large cloud datasets | "Easy-to-Use Cloud Tool with Shareable, Saved Queries" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3d9a09f76a7f8a459cd2e26434ddc0c3/fme-platform.png "Product Avatar Image")](https://www.g2.com/products/fme-platform/reviews)[FME Platform](https://www.g2.com/products/fme-platform/reviews)[4.6/5(136)](https://www.g2.com/products/fme-platform/reviews) | Geospatial and multi-format data transformation | "No-Code Data Workflows with Powerful Multi-Format Support" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8ef2fed795a3ce0717d8b4925583871c/domo.jpg "Product Avatar Image")](https://www.g2.com/products/domo/reviews)[Domo](https://www.g2.com/products/domo/reviews)[4.3/5(1,086)](https://www.g2.com/products/domo/reviews) | Self-service ETL feeding business dashboards | "Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-data.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-data/reviews)[IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)[4.4/5(173)](https://www.g2.com/products/ibm-watsonx-data/reviews) | Lakehouse querying across object storage | "Flexible and Scalable Data Platform for Analytics and AI" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_de2aec2900c83942b05e5256568f5444/fivetran.jpg "Product Avatar Image")](https://www.g2.com/products/fivetran/reviews)[Fivetran](https://www.g2.com/products/fivetran/reviews)[4.3/5(828)](https://www.g2.com/products/fivetran/reviews) | Managed connector-based data ingestion | "No-Code, Self-Monitoring Pipelines with Connectors That Just Work" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_50b25c72253e48a2b66e69f996196956/workato.png "Product Avatar Image")](https://www.g2.com/products/workato/reviews)[Workato](https://www.g2.com/products/workato/reviews)[4.7/5(777)](https://www.g2.com/products/workato/reviews) | Low-code workflow automation across SaaS apps | "Workato helps us building complex integrations at lightning speed." | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_c476c9375398c3b68bbf5ff649015bba/snaplogic-intelligent-integration-platform-iip.png "Product Avatar Image")](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)[SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)[4.4/5(406)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) | Visual enterprise integration across complex systems | "Fast, Scalable Integrations with SnapLogic’s Intuitive Drag-and-Drop Designer" | * * * Show More ### ETL Tools Topics - [ETL software buying insights at a glance](#etl-software-buying-insights-at-a-glance) - [Top 5 FAQs from software buyers](#top-5-faqs-from-software-buyers) - [What are the top-reviewed ETL Tools on G2?](#what-are-the-top-reviewed-etl-tools-on-g2) - [What I Often See in ETL Tools](#what-i-often-see-in-etl-tools) - [My Expert Takeaway on ETL Tools in 2026](#my-expert-takeaway-on-etl-tools-in-2026) - [ETL Tools FAQs](#etl-tools-faqs) [ ### ETL Tools Topics Expand/Collapse ](#) - [ETL software buying insights at a glance](#etl-software-buying-insights-at-a-glance) - [Top 5 FAQs from software buyers](#top-5-faqs-from-software-buyers) - [What are the top-reviewed ETL Tools on G2?](#what-are-the-top-reviewed-etl-tools-on-g2) - [What I Often See in ETL Tools](#what-i-often-see-in-etl-tools) - [My Expert Takeaway on ETL Tools in 2026](#my-expert-takeaway-on-etl-tools-in-2026) - [ETL Tools FAQs](#etl-tools-faqs) ## Learn More 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