# Best ETL Tools for Small Business ## 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 01, 2026_ ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,300+ 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=23331&focus%5B%5D=10470&focus%5B%5D=989&focus%5B%5D=6073&focus%5B%5D=4136&focus%5B%5D=8076&focus%5B%5D=41374&focus%5B%5D=1243833) Highlighted products: Celigo, Databricks, Alteryx, Google Cloud BigQuery, Skyvia, FME Platform, Maia, and 5X. Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=celigo&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=skyvia&focus%5B%5D=fme-platform&focus%5B%5D=matillion-maia&focus%5B%5D=5x&segment=small-business) **Sponsored** ### Adeptia Adeptia is the Intelligent ETL platform for the messy, first-mile data enterprises actually run on: partner, customer, and supplier onboarding, EDI, compliance workflows, and operational data exchange across systems, documents, and AI agents. Unlike traditional ETL built for warehouse pipelines, Adeptia is AI-native:. It understands what data means, not just field names. Someone describes the outcome, and Adeptia designs the integration in ~60 seconds; then proven, deterministic code runs it in production, no runtime surprises. It doesn't just flag errors; it captures how people fix them and progressively automates the repair. It's intelligent data automation for everyone who touches the data from developers, and business users, to AI agents. Through an open MCP interface, assistants like Claude build and run integrations on the platform directly. Grounded in 25 years of integration knowledge, with 100+ connectors across EDI, databases, SaaS, files, and APIs. [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=2026-08-01T13%3A19%3A19Z&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=18664&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%2Fsmall-business%3Fopen_modal_url%3D%252Fproducts%252Fgoogle-cloud-bigquery%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fetl-tools%25252Fsmall-business%2526source%253Dcategory&secure%5Btoken%5D=6022e1c0c547108aaae1f0ec9af370397854496dcbe73dde5b9b8e138609964d&secure%5Burl%5D=https%3A%2F%2Fwww.adeptia.com%2Flp%2Fetl-integration-platform-demo%3Futm_source%3Dg2%26utm_medium%3Dbanner%26utm_campaign%3DETL&secure%5Burl_type%5D=custom_url) ### [Celigo](https://www.g2.com/products/celigo/reviews) Celigo is the intelligent automation platform built for the AI era. An enterprise-ready iPaaS, Celigo helps organizations unify applications, automate complex operations, and scale digital ecosystems. The platform supports cloud integration, SaaS integration, enterprise application integration, and agentic automation under a single governance model. The platform is accessible to both business teams and developers — anyone can build, configure, and maintain integrations through natural language, while technical teams retain full control over architecture, security, and extensibility. Through an extensive library of 1,000+ prebuilt connectors, organizations can rapidly integrate systems such as ERP, CRM, ecommerce, finance, and support platforms — including NetSuite, Salesforce, SAP, Microsoft Dynamics, and Shopify — while maintaining flexibility for custom integrations and advanced API management. Celigo supports a wide range of enterprise integration scenarios including ERP integration, CRM integration, B2B integration, and EDI (electronic data interchange) workflows. These capabilities allow organizations to streamline supplier, partner, and customer data exchange while ensuring reliable data integration across internal and external systems. Built-in tools for data mapping, data transformation, and data synchronization ensure that information moves accurately and consistently between applications. What sets Celigo apart is its ability to span the full spectrum of automation — from deterministic, rules-based workflows to AI-driven decision-making — without requiring separate platforms or governance models. Celigo Agent Builder enables teams to create AI agents that reason and act across enterprise systems, with configurable guardrails that enforce business policy at runtime. Human-in-the-loop approvals ensure sensitive actions require explicit authorization before execution, and complete audit trails support compliance across every AI interaction. Celigo's MCP Server exposes enterprise capabilities through the Model Context Protocol, giving any AI agent — built inside Celigo or externally — secure, governed, auditable access to the full enterprise tech stack. This makes Celigo a foundational layer for enterprise AI orchestration, enabling organizations to connect external agents to internal systems without sacrificing control or visibility. Celigo Ora, the platform's natural language interface, makes the entire platform accessible through conversation. Anyone — including business teams without technical training — can build, modify, troubleshoot, and maintain integrations and automations by describing what they need in plain language. This eliminates the specialist bottleneck not just for building automations, but for ongoing maintenance and issue resolution as well. To accelerate deployment, Celigo offers fully managed Integration Apps and reusable integration templates that simplify common use cases such as order-to-cash automation, ecommerce integrations, and financial data flows. Centralized monitoring, runtime governance controls, and scalable architecture give enterprises full visibility into integration and automation processes while maintaining reliability and compliance. Designed for modern IT and operations teams, Celigo empowers enterprises to unify integration, automation, and AI on a single platform — scaling capacity without scaling headcount, and building a durable foundation for digital transformation across the entire application landscape. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,065 #### 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, making integration management accessible for everyone, regardless of technical background. - Users value the **user-friendly integrations** of Celigo, appreciating its customizable solutions for diverse client needs. - Users value the **integration capabilities** of Celigo, enabling seamless connections with various APIs easily and efficiently. - Users value the **easy integrations** of Celigo, enabling seamless connectivity and enhanced functionality across systems. - Users value the **helpful and thorough customer support** provided by Celigo, ensuring effective assistance with customizations. ##### Cons - Users find **error handling challenging** with unclear messages and random issues that are difficult to track. - Users often remark on the **premium pricing** of Celigo, with costs increasing as more features are added. - Users find the **learning curve steep** , requiring time and effort to fully understand the platform's functionalities. - Users often face **complexity challenges** with Celigo, struggling with vague error messages and intricate integration processes. - Users report **premium pricing** can be confusing, especially with unexpected increases in contract renewals. #### What Are Recent G2 Reviews of Celigo? **["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) **["Seamless Integration with Exceptional Support"](https://www.g2.com/survey_responses/celigo-review-1996577)** **Rating:** 5.0/5.0 stars _— Steve B._ [Read full review](https://www.g2.com/survey_responses/celigo-review-1996577) #### What Are G2 Users Discussing About Celigo? - [What is Celigo used for?](https://www.g2.com/discussions/what-is-celigo-used-for) ### [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,326 #### 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 praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. - Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. - Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. - Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. - Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. ##### Cons - Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. - Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. - Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. - Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. - Users face **complex setup** challenges initially, though support helps simplify the experience over time. #### What Are Recent G2 Reviews of Databricks? **["Helpful for Managing and Analyzing Operational Data"](https://www.g2.com/survey_responses/databricks-review-13090803)** **Rating:** 4.5/5.0 stars _— Vishaka C._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13090803) **["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 ### [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:** 855 #### 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:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Alteryx? - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** 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** of Alteryx, finding it user-friendly and efficient for non-technical users. - Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis. - Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient. - Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience. - Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding. ##### Cons - Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups. - Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly. - Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility. - Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners. - Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx. #### What Are Recent G2 Reviews of Alteryx? **["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) **["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) ### [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:** 1,144 #### How Do G2 Users Rate Google Cloud BigQuery? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Google Cloud BigQuery? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [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 appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle. - Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly. - Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management. - Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets. - Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed. ##### Cons - Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses. - Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting. - Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges. - Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility. - Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques. #### 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 ### [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:** 322 #### 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) 252 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 find Skyvia's **ease of use** remarkable, highlighting its intuitive interface for seamless data integration. - Users appreciate the **easy integrations** with a low-code interface, making complex data connections effortless and efficient. - Users highlight the **easy setup** of Skyvia, finding it intuitive and hassle-free for seamless data integration. - Users find the **initial setup easy** , enabling quick integrations without requiring coding skills or developer involvement. - Users appreciate the **easy integrations** Skyvia offers, enabling quick connections across multiple systems effortlessly and intuitively. ##### Cons - Users highlight a need for **expanded documentation and more detailed logs** to improve troubleshooting and job tracking. - Users find the **difficult setup** of Skyvia challenging due to its outdated interface and complex configurations. - Users find the **learning curve steep** due to complex configurations and a dense interface that requires time to master. - Users find the **poor documentation** of Skyvia lacking real-world examples, making integrations more complex and less intuitive. - Users find the **setup difficulty** with Skyvia can be complex, requiring time and effort for configuration and field mapping. #### What Are Recent G2 Reviews of Skyvia? **["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) **["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) #### What Are G2 Users Discussing About Skyvia? - [What is Skyvia used for?](https://www.g2.com/discussions/what-is-skyvia-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:** 130 #### How Do G2 Users Rate FME Platform? - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (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:** 47% Medium, 27% 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 simple and efficient to manage. - Users appreciate the **seamless data handling and integration** of FME Platform, enhancing workflow automation and efficiency. - Users value the **automation capabilities** of FME Platform, significantly boosting productivity and streamlining data workflows. - Users praise FME Platform for its **exceptional interoperability** , efficiently transforming diverse data formats in automation workflows. - Users value the **flexible data transformation capabilities** of FME Platform, enhancing their workflow with impressive automation and interoperability. ##### Cons - Users struggle with the **complexity** of FME Platform, particularly in automation and UI navigation during high-pressure situations. - Users express concern over the **expensive pricing model** of FME Platform, making it challenging for smaller teams to invest. - Users struggle with a **steep learning curve** , finding the UI daunting and onboarding others a significant challenge. - Users find the **steep learning curve** of FME Platform challenging, making navigation and understanding the software difficult. - Users express concerns about **pricing issues** with FME Platform, feeling it's too expensive for smaller teams and individuals. #### What Are Recent G2 Reviews of FME Platform? **["Powerful Automation and Workflow with Fast Onboarding"](https://www.g2.com/survey_responses/fme-platform-review-13115305)** **Rating:** 4.5/5.0 stars _— Konjengbam M._ [Read full review](https://www.g2.com/survey_responses/fme-platform-review-13115305) **["FME Saves Time with Powerful GIS ETL and Automation"](https://www.g2.com/survey_responses/fme-platform-review-12863747)** **Rating:** 4.5/5.0 stars _— Denise G._ [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12863747) #### What Are G2 Users Discussing About FME Platform? - [What does FME stand for in FME Server?](https://www.g2.com/discussions/what-does-fme-stand-for-in-fme-server) - [Is FME an ETL?](https://www.g2.com/discussions/is-fme-an-etl) - [What is FME process?](https://www.g2.com/discussions/what-is-fme-process) - [What is FME software used for?](https://www.g2.com/discussions/what-is-fme-software-used-for) ### [Maia](https://www.g2.com/products/matillion-maia/reviews) Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself. **Average Rating:** 4.5/5.0 **Total Reviews:** 120 #### How Do G2 Users Rate Maia? - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Automation:** 9.1/10 (Category avg: 9.0/10) - **Scalability:** 8.7/10 (Category avg: 8.7/10) - **Auditing:** 7.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind Maia? - **Seller:** [Matillion](https://www.g2.com/sellers/matillion) - **Company Website:** www.matillion.com - **Year Founded:** 2011 - **HQ Location:** Salford, GB - **Twitter:** @matillion 7,362 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9b553fae1e51bb2b58491b1c1d561a15b7dd370d485b1ff7affe8e7cbd75e1cf&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2360297%2F&secure%5Burl_type%5D=linkedin_company_website) 463 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Medium, 31% Large #### What Do G2 Reviewers Say About Maia? _AI-generated summary from verified user reviews_ ##### Pros - Users find the **ease of use** in Maia's interface invaluable for seamless ETL configuration and understanding. - Users appreciate the **seamless automation** of Matillion, making ETL processes effortless and efficient across platforms. - Users appreciate the **simple UI** of Matillion, which makes configuration easy and user-friendly for everyone. - Users love Matillion's **intuitive and simple UI** , making it easy for beginners to configure and navigate. - Users commend Maia for its **ETL efficiency** , making complex workflows user-friendly and scalable for all levels of analysts. ##### Cons - Users experience **job performance issues** due to the limitations of the Jython interpreter and single-thread workflows. - Users find the **pricing model expensive** , especially as data volume increases, impacting overall affordability. - Users report **job performance issues** with the Jython interpreter and single-thread workflow limitations affecting efficiency. - Users express concern over **cloud dependency** , feeling locked into the environment with limited customization options. - Users find **API limitations** in Maia frustrating, as administrative features lack sufficient access and usability options. #### What Are Recent G2 Reviews of Maia? **["Maia Scaled 800+ Pipeline Migrations Without Added Overhead"](https://www.g2.com/survey_responses/maia-review-12920298)** **Rating:** 5.0/5.0 stars _— Keith G._ [Read full review](https://www.g2.com/survey_responses/maia-review-12920298) **["Maia Makes Onboarding Fast with an Intuitive UI and Low-Code Pipelines"](https://www.g2.com/survey_responses/maia-review-12942268)** **Rating:** 4.5/5.0 stars _— Anthony S._ [Read full review](https://www.g2.com/survey_responses/maia-review-12942268) #### What Are G2 Users Discussing About Maia? - [What is Matillion ETL used for?](https://www.g2.com/discussions/what-is-matillion-etl-used-for) - 1 comment - [What is Matillion Data Loader used for?](https://www.g2.com/discussions/what-is-matillion-data-loader-used-for) - [What are ETL tools used for?](https://www.g2.com/discussions/what-are-etl-tools-used-for) - [Is Matillion open source?](https://www.g2.com/discussions/is-matillion-open-source) - [What is ETL in software?](https://www.g2.com/discussions/what-is-etl-in-software) ### [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 value the **ease of use** of 5X, appreciating its intuitive interface and seamless integration with existing tools. - Users appreciate the **responsive customer support** of 5X, which quickly addresses inquiries and implements requested features. - Users praise 5X for its **seamless integration capabilities** , enhancing workflow automation and simplifying data management across platforms. - Users value the **easy integrations** of 5X, enhancing their data ingestion and overall operational efficiency effortlessly. - Users praise 5X for its **intuitive design and integrated capabilities** , facilitating efficient data management and seamless workflows. ##### Cons - Users find a **steep learning curve** with 5X initially, but training helps to ease the transition. - Users find the **complex setup** of 5X challenging, often requiring additional support for successful deployment. - Users find a **steep learning curve** initially, requiring enablement sessions to ease into the platform's complexity. - Users find the **difficult setup** of 5X to be time-consuming, requiring extensive learning and support for complex integrations. - Users note **feature limitations** as some advanced tools are still in development, affecting overall functionality and workflows. #### 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) ### [Boost.space](https://www.g2.com/products/boost-space/reviews) Boost.space is the #1 AI-Ready Data Sync platform on G2—recognized with over 100 customer-voted badges. ⭐️ Today's enterprises are investing heavily in AI, but most initiatives fail. Why? Because AI is "stateless"—it has no memory—and it's running on chaotic data fragmented across hundreds of applications. This data chaos costs companies an average of $15 million annually and wastes nearly 12 hours per employee every week.   Boost.space solves this foundational problem by creating a new category of enterprise infrastructure: the AI Memory Layer. We are not just another application; we are the persistent, unified memory that your entire AI and automation ecosystem needs to function intelligently. Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, three-way synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your operational tools. At the heart of this is our Model Context Protocol (MCP), an "AI-Ready USB-C Port" for your enterprise that allows you to prompt your business in natural language. Whether you're building an AI-Ready PIM for e-commerce or an AI-Ready CDP for marketing, Boost.space provides the essential foundation, trusted by leaders like ŠKODA to make their data AI-ready. **Average Rating:** 4.6/5.0 **Total Reviews:** 327 #### How Do G2 Users Rate Boost.space? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.8/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.6/10 (Category avg: 8.1/10) #### Who Is the Company Behind Boost.space? - **Seller:** [Boost.space s.r.o.](https://www.g2.com/sellers/boost-space-s-r-o) - **Year Founded:** 2017 - **HQ Location:** Prague, CZ - **Twitter:** @boostspace 79 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8e4b60ab6bcee164aadff78f686a32aa27e1bc187457104ef732adcfb15b9afd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fboost-space%2F%3ForiginalSubdomain%3Dcz&secure%5Burl_type%5D=linkedin_company_website) 40 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, Founder - **Top Industries:** Marketing and Advertising, Consulting - **Company Size:** 99% Small, 1% Medium #### What Do G2 Reviewers Say About Boost.space? _AI-generated summary from verified user reviews_ ##### Pros - Users love the **seamless integrations** of Boost.space, enhancing their workflows across multiple platforms effortlessly. - Users appreciate the **automation features** of Boost.space, enabling them to efficiently manage tasks and reduce costs. - Users love the **easy integrations** with multiple platforms, streamlining workflows and enhancing productivity into a unified hub. - Users praise the **excellent integration options** and user-friendly interface of Boost.space, simplifying their workflow. - Users love the **easy integration** of Boost.space, enabling seamless workflows and streamlined operations across multiple tools. ##### Cons - Users find the **learning curve** of Boost.Space challenging initially, requiring time to adapt to the system. - Users note a **steep learning curve** initially, requiring time to adapt to Boost.space's complex interface. - Users find the **learning difficulty** challenging, requiring significant time investment to navigate Boost.space effectively. - Users find the **complex setup** challenging, often requiring technical support despite the platform's no-code promise. - Users find the **beginner difficulty** of Boost.space challenging, highlighting the need for improved onboarding and guidance. #### What Are Recent G2 Reviews of Boost.space? **["a Wonderful combination of Airtable (Datasheets) & Zapir (Automation tool)"](https://www.g2.com/survey_responses/boost-space-review-11005882)** **Rating:** 4.5/5.0 stars _— Kapil A._ [Read full review](https://www.g2.com/survey_responses/boost-space-review-11005882) **["An app that combines data storage like CRM/Airtable with the integration functionality of Make"](https://www.g2.com/survey_responses/boost-space-review-9524372)** **Rating:** 4.0/5.0 stars _— Michael G._ [Read full review](https://www.g2.com/survey_responses/boost-space-review-9524372) ### [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:** 166 #### 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:** 33% 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 tasks. - Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics. - Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly. - Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects. - Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making. ##### Cons - Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data. - Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies. - Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects. - Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations. - Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics. #### What Are Recent G2 Reviews of IBM watsonx.data? **["Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)** **Rating:** 4.0/5.0 stars _— Arkajit D._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202) **["Unified Data Management with Learning Curve"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)** **Rating:** 5.0/5.0 stars _— Anchal P._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742) ### [Coupler.io](https://www.g2.com/products/coupler-io/reviews) Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, transform it, and load it into spreadsheets, BI tools, data warehouses, and AI agents. No complex setup or deep technical expertise required. Trusted by 1M+ users, including companies like Uber, Netflix, and Airbus, Coupler.io streamlines data processes for marketers, data analysts, business owners, sales teams, e-commerce businesses, and financial professionals. With 1800+ ready-made integrations, Coupler.io allows you to automatically collect data from Google Analytics, Facebook Ads, GoHighLevel, Shopify, QuickBooks, and many other apps. You can blend data from multiple sources into Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Coupler.io makes data transformation easy with data joining and appending functions, filtering, formulas, and data set templates. To quick-start with reporting, explore Coupler.io's in-app dashboards and free dashboard templates gallery for third-party tools. You can also build custom dashboards from scratch. AI Insights interprets dashboards in seconds, highlighting trends and anomalies and providing actionable recommendations. Coupler.io's AI integrations enable real-time analysis of large, blended data through natural language conversations in AI chats. These allow businesses to make data-driven decisions, scale operations, and improve reporting efficiency. Coupler.io is a SOC 2-certified, reliable platform that follows the highest data security and privacy standards to keep your data protected. Take full control of your data, identify what works, and scale it with Coupler.io for holistic data management and analysis! **Average Rating:** 4.8/5.0 **Total Reviews:** 102 #### How Do G2 Users Rate Coupler.io? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.7/10 (Category avg: 9.0/10) - **Scalability:** 8.9/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Coupler.io? - **Seller:** [Railsware](https://www.g2.com/sellers/railsware) - **Year Founded:** 2007 - **HQ Location:** Pasadena, CA, USA - **Twitter:** @railsware 2,116 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3afc852f3cd02377621b5f738cb5c93523c5c7e2789c234dce03c8ab0c759a18&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F122084%2F&secure%5Burl_type%5D=linkedin_company_website) 177 employees on LinkedIn® - **Ownership:** Private #### Who Uses This Product? - **Top Industries:** Non-Profit Organization Management, Marketing and Advertising - **Company Size:** 67% Small, 28% Medium #### What Do G2 Reviewers Say About Coupler.io? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Coupler.io, enjoying intuitive automation for seamless data integration without technical complexity. - Users highlight the **incredible time savings** with Coupler.io, completing tasks in seconds instead of hours. - Users value the **automation capabilities** of Coupler.io, significantly enhancing efficiency and streamlining data workflows. - Users appreciate the **massive integration library** of Coupler.io, enabling quick connections to various platforms for seamless reporting. - Users praise Coupler.io for its **easy data integration** , simplifying workflows and enhancing reporting efficiency dramatically. ##### Cons - Users find the **difficult setup** of Coupler.io frustrating, as it often needs trial and error for complex data models. - Users find the **complex setup** process challenging, requiring considerable trial and error for advanced configurations. - Users experience a **small learning curve** when using Coupler.io, but this leads to better data organization over time. - Users find Coupler.io to be **expensive** , especially for smaller teams needing multiple data connections for integrations. - Users express a **lack of information** for advanced features, making complex setups and specific use cases challenging. #### What Are Recent G2 Reviews of Coupler.io? **["Easy way to connect Power BI to Quickbooks"](https://www.g2.com/survey_responses/coupler-io-review-12796693)** **Rating:** 5.0/5.0 stars _— Yassine L._ [Read full review](https://www.g2.com/survey_responses/coupler-io-review-12796693) **["Helpful tool for syncing data with Airtable"](https://www.g2.com/survey_responses/coupler-io-review-9448658)** **Rating:** 4.5/5.0 stars _— Hannah P._ [Read full review](https://www.g2.com/survey_responses/coupler-io-review-9448658) #### What Are G2 Users Discussing About Coupler.io? - [What is Coupler.io used for?](https://www.g2.com/discussions/what-is-coupler-io-used-for) ### [Weld](https://www.g2.com/products/weld-weld/reviews) Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure. **Average Rating:** 4.8/5.0 **Total Reviews:** 107 #### How Do G2 Users Rate Weld? - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 7.9/10 (Category avg: 8.1/10) #### Who Is the Company Behind Weld? - **Seller:** [Weld](https://www.g2.com/sellers/weld-733aad41-2e36-4f42-9349-7d847f41d873) - **Company Website:** weld.app - **Year Founded:** 2021 - **HQ Location:** Copenhagen, DK - **Twitter:** @WeldHQ 98 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a6272b5c7f8f7c73e833cab0b50e3a05a9867df8ee92624bf27ca6278a5ad213&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fweldhq%2F&secure%5Burl_type%5D=linkedin_company_website) 91 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO - **Top Industries:** Computer Software, Retail - **Company Size:** 58% Small, 41% Medium #### What Do G2 Reviewers Say About Weld? _AI-generated summary from verified user reviews_ ##### Pros - Users rave about the **exceptional customer support** at Weld, resolving issues quickly and enhancing overall experience. - Users appreciate the **ease of use** with Weld, finding it simple to implement and integrate into their workflows. - Users value the **automation capabilities** of Weld, significantly enhancing data integration and analysis efficiency. - Users praise the **exceptional customer support** and ease of setup, significantly enhancing their experience with Weld. - Users find the **implementation ease** of Weld exceptional, allowing for quick setup and streamlined BI operations. ##### Cons - Users find the **limited connectors** in Weld's basic plan somewhat restrictive, though upgrades are available for more options. - Users find the **limited connectors** in the basic plan a bit restrictive despite the expanding catalogue. - Users find Weld's **limited integrations** somewhat frustrating, especially with the restrictions on connectors in the basic plan. - Users find the **complex setup** challenging, especially when debugging intricate queries in their data processes. - Users experience occasional **connection issues** with Weld, requiring attention to ensure stable data extraction. #### What Are Recent G2 Reviews of Weld? **["Seamless ETL with Stellar Support"](https://www.g2.com/survey_responses/weld-review-12858335)** **Rating:** 5.0/5.0 stars _— Edward S._ [Read full review](https://www.g2.com/survey_responses/weld-review-12858335) **["Effortless Data Integration with Weld"](https://www.g2.com/survey_responses/weld-review-11123380)** **Rating:** 5.0/5.0 stars _— Shanil L._ [Read full review](https://www.g2.com/survey_responses/weld-review-11123380) ### [Funnel](https://www.g2.com/products/funnel/reviews) Funnel is the leading marketing intelligence platform, designed to help marketers with reporting, measurement and data management. It integrates with over 500 data sources, ranging from social media, to advertising tools, e-commerce platforms and CRM systems to provide a complete overview of marketing performance. The platform automates data collection and transformation, eliminating the need for manual spreadsheets or custom-built integrations. Users can consolidate disparate data into a single, structured format that is accessible for analysis and reporting. Key functionalities include: Reporting Dashboards: Funnel allows users to create interactive dashboards that highlight performance metrics and trends across different channels. These dashboards help marketing teams understand the effectiveness of their campaigns and share insights with stakeholders. Performance Measurement: The platform supports advanced analytics to evaluate marketing spend and ROI. By tracking performance at a granular level, teams can identify high-performing strategies and allocate budgets more effectively. Data Integration and Export: Funnel provides seamless integration with popular data warehouses and business intelligence tools. Users can export clean, unified data to their preferred analytics environment for deeper exploration. With a user-friendly interface and flexible configuration options, Funnel is suitable for businesses of all sizes. The platform serves over 2,000 customers worldwide, including companies like Home Depot, Havas Media, and Samsung, helping them make informed, data-driven decisions without the need for extensive technical expertise. **Average Rating:** 4.5/5.0 **Total Reviews:** 163 #### How Do G2 Users Rate Funnel? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 8.6/10 (Category avg: 8.7/10) - **Auditing:** 7.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Funnel? - **Seller:** [Funnel](https://www.g2.com/sellers/funnel) - **Company Website:** funnel.io - **Year Founded:** 2014 - **HQ Location:** Stockholm, Sweden - **Twitter:** @funnel\_io 21 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=be633bb1add3e327634f921425b407b96b3be2be7a706ae13341fc8a201d9667&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9397630%2F&secure%5Burl_type%5D=linkedin_company_website) 402 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 50% Small, 44% Medium #### What Do G2 Reviewers Say About Funnel? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Funnel, enjoying seamless integration and straightforward reporting across platforms. - Users appreciate the **extensive integrations** of Funnel, simplifying data connections across various platforms effortlessly. - Users appreciate the **seamless data integration** of Funnel, enhancing their ability to centralize and visualize performance metrics efficiently. - Users love the **user-friendly data management** of Funnel, effortlessly centralizing and organizing data across platforms. - Users appreciate the **numerous connector options** available in Funnel, enhancing integration capabilities across platforms. ##### Cons - Users note a **steep learning curve** at first, particularly with configuring data sources and understanding the interface. - Users find investing in Funnel to be **expensive** , especially with additional fees for essential integrations and features. - Users find **limited connectors** in Funnel hinder scalability and flexibility, complicating the integration process with different platforms. - Users experience **missing features** , such as limited scalability and unavailable platform dimensions, hindering overall functionality. - Users experience **slow performance** with Funnel, especially during data processing and connector operations, impacting efficiency. #### What Are Recent G2 Reviews of Funnel? **["Excellent Integrations Across All Major Paid & Social Media Platforms for Data Analysis"](https://www.g2.com/survey_responses/funnel-review-11977140)** **Rating:** 5.0/5.0 stars _— Munavvar M._ [Read full review](https://www.g2.com/survey_responses/funnel-review-11977140) **["Great for connecting data sources and visualising with consistent fields"](https://www.g2.com/survey_responses/funnel-review-11973065)** **Rating:** 4.5/5.0 stars _— Muhammad Abdullah S._ [Read full review](https://www.g2.com/survey_responses/funnel-review-11973065) #### What Are G2 Users Discussing About Funnel? - [What do you like most about Funnel for data collection, and what improvements could be made?](https://www.g2.com/discussions/what-do-you-like-most-about-funnel-for-data-collection-and-what-improvements-could-be-made) - 1 comment, 1 upvote - [What is Funnel used for?](https://www.g2.com/discussions/what-is-funnel-used-for) - [What is the best funnel builder?](https://www.g2.com/discussions/what-is-the-best-funnel-builder) - [What is a funnel builder?](https://www.g2.com/discussions/what-is-a-funnel-builder) - 1 comment - [What is the best sales funnel software?](https://www.g2.com/discussions/what-is-the-best-sales-funnel-software) ### [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:** 805 #### 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 use** of Fivetran, enjoying seamless integration and effortless maintenance post-setup. - Users appreciate the **easy setup** of Fivetran, making it straightforward to integrate with existing applications. - Users value the **easy integration** of Fivetran, enabling seamless connectivity with various applications and tools. - 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 effortless and enjoyable. ##### Cons - Users experience **sync issues** with sporadic failures and confusion over usage quotas, complicating their workflow. - Users note that Fivetran's pricing is **quite expensive** , which limits accessibility for many potential users. - Users face **integration issues** with Fivetran, especially regarding schema ownership and modifying connections efficiently. - Users find the **learning curve steep** , requiring significant technical knowledge to effectively navigate the system initially. - Users consider Fivetran's **pricing issues** a barrier, wishing for lower costs and more flexible options for accessibility. #### 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 ### [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:** 1,036 #### 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) 1,299 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 49% Medium, 28% Large #### What Do G2 Reviewers Say About Domo? _AI-generated summary from verified user reviews_ ##### Pros - Users value Domo's **ease of use** , making it accessible for all, even those who aren't tech-savvy. - Users value the **flexible dashboards** in Domo, allowing seamless data visualization from various sources. - Users find Domo's **intuitive design** enhances data handling and decision-making, making it accessible for all skill levels. - Users praise Domo for its **easy integrations** , enabling seamless data connections and enhancing data management efficiency. - Users value the **seamless integration** capabilities of Domo, enhancing data management across various platforms and sources. ##### Cons - Users find the **learning curve challenging** with Domo, often requiring dedicated resources to manage updates and functionalities. - Users struggle with **missing features** in Domo, including outdated systems and limited capabilities in visualizations and connectors. - Users are frustrated by **data management issues** , including upload adjustments and poor organization of datasets in Domo. - Users find Domo to be **expensive** due to high costs associated with features and external consulting needs. - Users find Domo's **complexity** overwhelming, requiring technical expertise and extensive setup that complicate the user experience. #### What Are Recent G2 Reviews of Domo? **["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) **["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) #### 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) - ‹ Prev‹ Prev - 1 - [2](/categories/etl-tools/small-business?open_modal_url=%2Fproducts%2Fgoogle-cloud-bigquery%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fetl-tools%252Fsmall-business%26source%3Dcategory&order=g2_score&page=2#product-list) - [3](/categories/etl-tools/small-business?open_modal_url=%2Fproducts%2Fgoogle-cloud-bigquery%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fetl-tools%252Fsmall-business%26source%3Dcategory&order=g2_score&page=3#product-list) - [4](/categories/etl-tools/small-business?open_modal_url=%2Fproducts%2Fgoogle-cloud-bigquery%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fetl-tools%252Fsmall-business%26source%3Dcategory&order=g2_score&page=4#product-list) - [5](/categories/etl-tools/small-business?open_modal_url=%2Fproducts%2Fgoogle-cloud-bigquery%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fetl-tools%252Fsmall-business%26source%3Dcategory&order=g2_score&page=5#product-list) - [Next ›Next ›](/categories/etl-tools/small-business?open_modal_url=%2Fproducts%2Fgoogle-cloud-bigquery%2Fwishlists%3Fhost_path%3D%252Fcategories%252Fetl-tools%252Fsmall-business%26source%3Dcategory&order=g2_score&page=2#product-list) Spotlight Categories [SEO Tools](https://www.g2.com/categories/seo-tools) [Contract Management Software](https://www.g2.com/categories/contract-management) [Voice Recognition Software](https://www.g2.com/categories/voice-recognition) [Session Replay Software](https://www.g2.com/categories/session-replay) [Sales Tax and VAT Compliance Software](https://www.g2.com/categories/sales-tax-and-vat-compliance) 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 Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business ETL Tools category. In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Small Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from a small business. Top Tools at a Glance | | Unified lakehouse pipelines with governance and ML workflows | User Review "Helpful for Managing and Analyzing Operational Data" | | | NetSuite-centered app integration and sync | User Review "Seamless Integration with Exceptional Support" | | | Drag-and-drop data prep and reporting automation | User Review "Scales Operations and Saves Time with Automated Data Workflows" | | | Serverless analytics on large cloud datasets | User Review "Easy-to-Use Cloud Tool with Shareable, Saved Queries" | | | Geospatial and multi-format data transformation | User Review "Powerful Automation and Workflow with Fast Onboarding" | | | Self-service ETL feeding business dashboards | User Review "Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard" | | | Managed connector-based data ingestion | User Review "No-Code, Self-Monitoring Pipelines with Connectors That Just Work" | | | Lakehouse querying across object storage | User Review "Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve" | | | Low-code workflow automation across SaaS apps | User Review "Workato helps us building complex integrations at lightning speed." | | | Visual enterprise integration across complex systems | User Review "Super fast integrations—saves tons of coding headache!" | * * * Show More * * * ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026