# Best Enterprise ETL Tools *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Products classified in the overall ETL Tools category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business ETL Tools to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business ETL Tools category. In addition to qualifying for inclusion in the ETL Tools category, to qualify for inclusion in the Enterprise Business ETL Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business. ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 247 ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 17,900+ Authentic Reviews - 247+ 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. ## Top ETL Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (744 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Perfect for Cross-team Collaboration and Intensive Data Applications](https://www.g2.com/survey_responses/databricks-review-12745626)" | | 2 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,157 reviews) | Serverless analytics on large cloud datasets | "[Fast, Scalable, and Fully Managed BigQuery for Large-Scale Data Processing](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12611816)" | | 3 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Celigo, a greta integrator with a University Lab inside it.](https://www.g2.com/survey_responses/celigo-review-10532295)" | | 4 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (157 reviews) | Lakehouse querying across object storage | "[Efficient and Scalable Lakehouse Platform for Modern Data Analytics](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12677827)" | | 5 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (117 reviews) | Geospatial and multi-format data transformation | "[Reliable ETL and Geospatial Transformations That Keep Workflows Organized](https://www.g2.com/survey_responses/fme-platform-review-12794716)" | | 6 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (776 reviews) | Managed connector-based data ingestion | "[Effortless Data Integration with Wide Connectivity](https://www.g2.com/survey_responses/fivetran-review-12701875)" | | 7 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (726 reviews) | Low-code workflow automation across SaaS apps | "[Seamless Integration, Effortless Automation](https://www.g2.com/survey_responses/workato-review-12193616)" | | 8 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (987 reviews) | Self-service ETL feeding business dashboards | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | | 9 | [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) | 4.4/5.0 (370 reviews) | Visual enterprise integration across complex systems | "[Improved Data Connectivity with Room for Stability Enhancements](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834)" | | 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (317 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Helpful tool for ops teams that don’t want to depend on engineering](https://www.g2.com/survey_responses/skyvia-review-12807226)" | ## Which Type of ETL Tools Tools Are You Looking For? - [ETL Tools](https://www.g2.com/categories/etl-tools) *(current)* - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- **Sponsored** ### CData Sync Unlike volume-based tools with unpredictable pricing, CData Sync offers a single platform for ETL and reverse ETL, with full deployment flexibility and fixed, scalable pricing—so your costs don’t balloon as your data grows. Connect to 250+ enterprise data sources, including: • Salesforce, Microsoft Dynamics, and SAP • SharePoint, NetSuite, Workday, and QuickBooks • ServiceNow, Xero, Sage Intacct, HubSpot, Marketo, Oracle • …and many more Replicate that data into your preferred destinations, such as: • Snowflake, Databricks, SQL Server, Redshift, OneLake, and others Deploy it your way—on-premises, in your own cloud, or in a private-cloud SaaS model. Getting started is simple: 1. Log in 2. Select your source tables 3.Set your sync interval CData Sync handles the rest, using efficient incremental updates that minimize load on your operational systems. The platform includes: • Point-and-click ETL/ELT/reverse ETL • Change Data Capture (CDC) with no elevated database permissions • Complete data control and custom SQL transformations • dbt integration CData Sync centralizes your automated data flows, giving you full control, faster delivery, and the freedom to scale without hidden fees. Download a 30-day free trial of CData Sync or learn more at: www.cdata.com/sync [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=124922&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D3&secure%5Btoken%5D=4ce82d49d957ca532224bd3b0fbec4cfd9dec57648615fd4bed6f87c41dfb383&secure%5Burl%5D=https%3A%2F%2Fwww.cdata.com%2Fsync%2F&secure%5Burl_type%5D=paid_promos) --- ## Buyer Guide: Key Questions for Choosing ETL Tools Software ### What do ETL tools do? When I explain ETL tools, I frame them as systems that help businesses move and prepare data across applications, databases, files, APIs, and cloud platforms. These platforms bring extraction, transformation, mapping, syncing, and loading into one workflow, so teams can support reporting, automation, analytics, and operations with cleaner data. Instead of moving data manually or building every connection from scratch, teams can create more reliable data flows with less integration effort. ### Why do businesses use ETL tools? From the G2 reviewer patterns I evaluated, businesses use ETL tools because disconnected systems create repetitive work, data gaps, and slow reporting. Users often mention the need to connect ERP, CRM, e-commerce, warehouse, finance, and analytics environments without manual exports. Common benefits include: - Less manual data entry and fewer spreadsheet workarounds. - Faster data movement between applications and reporting tools. - More reliable syncs across operations, finance, sales, and customer systems. - Clearer automation for repeatable workflows. - Better support for analytics, dashboards, and decisions. ### Who uses ETL tools primarily? After I evaluated G2 reviewer roles and job context, I found that ETL tools serve technical and business-facing teams: - **Administrators** manage integrations, monitor flows, and keep systems aligned. - **Data and analytics teams** prepare datasets, pipelines, warehouses, and reports. - **IT teams** connect applications, APIs, and cloud platforms. - **Operations teams** reduce manual order, inventory, finance, and customer work. - **Consultants** build integrations for client environments. ### What types of ETL tools should I consider? From the review themes I evaluated, buyers should compare several tool types: - **Application integration platforms** for business app connections and workflow automation. - **Data pipeline and warehouse tools** for scale, transformation logic, and analytics readiness. - **Low-code integration tools** for faster setup and visual flow design. - **Developer-oriented platforms** for APIs, custom logic, and complex environments. - **Cloud data platforms** for processing, governance, and analytics use cases. - **Specialized connector tools** when common systems must sync quickly. ### What are the core features to look for in ETL tools? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Prebuilt connectors for common business systems that help reduce integration build time. - API support for custom integrations that help teams connect systems beyond native connector coverage. - Mapping and transformation controls that help teams clean, shape, and prepare data without relying on custom code for every change. - Workflow automation and scheduling that help pipelines run reliably on a repeatable cadence. - Monitoring, alerts, and error handling that help teams catch pipeline issues before they affect reporting, analytics, or downstream systems. - Clear setup and admin controls that help reduce dependency on specialized engineering resources. - Documentation and support resources that help teams onboard faster and troubleshoot integration issues. - Scalability for larger data volumes and complex pipeline architectures that help the platform support growing data needs over time. ### What trends are shaping ETL tools right now? Based on the reviewer sentiment I evaluated, several patterns stood out: - **Setup simplicity is advancing** without sacrificing depth or configurability. - **Low-code development** is shortening pipeline build times for non-engineering teams. - **Cloud-first architecture** is becoming the default as on-premise needs narrow to regulated use cases. - **AI-assisted workflow logic** is raising the bar for what teams expect from automation. - **Data quality and observability** are maturing into core pipeline requirements rather than afterthoughts. - **Cross-system integration coverage** is expanding as analytics, ERP, e-commerce, and finance ecosystems converge. ### How should I choose ETL tools? For me, the strongest ETL tools match your data sources, team depth, and maintenance needs. The G2 feedback I evaluated points to a clear decision path: prioritize connector fit, setup effort, transformation control, monitoring quality, support, and scale. If reviewers praise usability yet also cite learning curve, documentation, or pricing concerns, test onboarding and long-term administration before you commit. --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 744 **Why buyers love it?:** When I reviewed Databricks feedback, the strongest pattern was a need to consolidate data engineering, analytics, and machine learning work in one governed environment. Reviewers highlight scalable pipeline execution, collaborative notebooks, Unity Catalog governance, and integrations that connect reporting and AI work. They also point to cost management, cluster behavior, and setup complexity as areas that require discipline from experienced teams. The product reads as a fit for organizations that need a broad lakehouse platform rather than a narrow connector or transformation tool. ### What Do G2 Reviewers Say About Databricks? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **advanced AI features and robust data security** of Databricks, enhancing their machine learning capabilities. - Users find **Databricks easy to use** , especially for model hosting and serving with seamless integrations and real-time data management. - Users value the **seamless integrations** of Databricks with various tools, enhancing data handling and collaboration significantly. - Users value the **excellent collaboration** features of Databricks, enabling real-time teamwork among data engineers and analysts. - Users love the **effective data management features** of Databricks, simplifying complex tasks with powerful tools and integrations. **Cons:** - Users experience a **steep learning curve** with Databricks, complicating adoption and understanding due to its complexity. - Users find Databricks to be **expensive** , particularly when handling large datasets and uncertain pricing structures. - Users face a **steep learning curve** with Databricks, making initial adoption challenging for teams. - Users struggle with the **missing features** of Databricks, limiting customization and complicating the development process. - Users find the **complexity** of Databricks challenging, particularly due to the steep learning curve and integration limitations. #### Key Features - Cloud - Data Lake - Spark Integration - Spark Integration - Workload Processing #### What Are Recent G2 Reviews of Databricks? **"[Databricks Simplifies Big Data Processing and Team Collaboration](https://www.g2.com/survey_responses/databricks-review-12654916)"** **Rating:** 4.5/5.0 stars *— Praveen M.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12654916) --- **"[Perfect for Cross-team Collaboration and Intensive Data Applications](https://www.g2.com/survey_responses/databricks-review-12745626)"** **Rating:** 5.0/5.0 stars *— Artemij V.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12745626) --- #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes ### 2. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,157 **Why buyers love it?:** BigQuery feedback pointed me toward teams that want fast SQL analytics without direct infrastructure management. Reviewers highlight speed on large datasets, cloud-native scale, and integration with Google Cloud services. They also mention query cost awareness, permission setup, and advanced troubleshooting as areas that require care. The sentiment positions the product around analytics-ready warehousing and ETL workloads where teams value managed scale. ### 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, allowing effortless handling of complex queries on large datasets. - Users value the **incredible speed** of Google Cloud BigQuery, enabling efficient handling of large datasets seamlessly. - Users value the **fast querying** capability of Google Cloud BigQuery, enabling efficient analysis of massive datasets with ease. - Users appreciate the **seamless integration** of BigQuery with other Google Cloud tools, enhancing their data handling capabilities. - Users appreciate the **query efficiency** of Google Cloud BigQuery, enjoying seamless processing of complex data with ease. **Cons:** - Users find Google Cloud BigQuery **expensive** if query costs are not carefully monitored and managed. - Users face challenges with **query issues** , including high costs from inefficient queries and a confusing UI for monitoring. - Users find the **cost issues** concerning, especially with expensive queries and high pricing per TB scanned. - Users find **cost management challenging** due to pricing per TB scanned and the need for query optimization. - Users find the **learning curve challenging** , particularly regarding partitioning, clustering, and understanding advanced features. #### Key Features - Data Mining - Report Generation - Campaign Stickiness - Data Lake - Machine Scaling #### What Are Recent G2 Reviews of Google Cloud BigQuery? **"[Fast, Scalable, and Fully Managed BigQuery for Large-Scale Data Processing](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12611816)"** **Rating:** 4.0/5.0 stars *— Tejaswini R.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12611816) --- **"[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 ### 3. [Domo](https://www.g2.com/products/domo/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 987 **Why buyers love it?:** Domo’s feedback pointed me toward business-facing analytics teams that want data prep and visualization in the same environment. Reviewers highlight Magic ETL, easy setup, dashboard delivery, alerts, and a user interface that helps non-engineering users work with data. I saw its clearest fit where teams want self-service data flows that move quickly into operational dashboards. Pricing complexity, credit monitoring, SQL limitations, and occasional bugs also appear in the review patterns. ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Domo, simplifying reporting and making it accessible for everyone. - Users value the **flexible dashboards** in Domo for seamless data visualization and intuitive insights. - Users admire Domo's **intuitive design** , making data management accessible even for non-tech-savvy individuals. - Users appreciate the **easy integrations** of Domo, enhancing their data management and decision-making processes effectively. - Users value Domo's **seamless integration** capabilities, enhancing data management and facilitating real-time collaboration and insights. **Cons:** - Users find the **learning curve challenging** , often needing to adapt to frequent updates and complex functionality. - Users often find **missing features** in Domo, such as limited card displays and outdated MySQL implementation. - Users face significant **data management issues** with Domo, struggling with uploads, organization, and limitations on analytics capabilities. - Users find Domo to be **expensive** due to high costs associated with features, setup, and external support. - Users find Domo's **complexity overwhelming** , requiring technical expertise and extensive setup, affecting functionality and efficiency. #### Key Features - Steps to Answer - Data Column Filtering - Data Visualization - Data Modeling - Connectors #### What Are Recent G2 Reviews of Domo? **"[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)"** **Rating:** 5.0/5.0 stars *— Anuj T.* [Read full review](https://www.g2.com/survey_responses/domo-review-12676104) --- **"[Comprehensive Analytics Tool with a Learning Curve](https://www.g2.com/survey_responses/domo-review-9326769)"** **Rating:** 5.0/5.0 stars *— John L.* [Read full review](https://www.g2.com/survey_responses/domo-review-9326769) --- #### 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) ### 4. [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) **Average Rating:** 4.0/5.0 **Total Reviews:** 115 **Why buyers love it?:** IBM StreamSets stood out in the feedback for pipeline resilience when data structures change. Reviewers highlight visual pipeline design, real-time and batch support, connector coverage, operational visibility, and schema drift handling. I read the product as a fit for teams that need streaming or hybrid data pipelines that can adapt to changing source data. Cost, UI performance, debugging complexity, and limits around custom transformations also appear as review-backed considerations. ### What Do G2 Reviewers Say About IBM StreamSets? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** in IBM StreamSets, simplifying data pipeline creation with its intuitive interface and features. - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging ease. - Users love the **easy creation and monitoring of data pipelines** that StreamSets offers across various environments. - Users appreciate the **simplified data integration workflows** with IBM StreamSets, benefiting from its intuitive design and automation features. - Users appreciate the **wide range of integrations** in IBM StreamSets, enhancing real-time data handling across various systems. **Cons:** - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. - Users find the **cost prohibitively high** for smaller teams, raising concerns about affordability and value. - Users note that **learning difficulty** exists with advanced features, requiring more time and effort to become proficient. - Users experience **slow performance** when processing large data volumes or complex pipelines, affecting efficiency and usability. - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. #### Key Features - Data Processing - Dasboard visualizations - Data Structuring - Reporting - Data Integration #### What Are Recent G2 Reviews of IBM StreamSets? **"[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) --- **"[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) --- #### 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) ### 5. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 94 **Why buyers love it?:** Azure Data Factory came through in the feedback as a cloud data orchestration tool for Azure and connected sources. Reviewers highlight the visual pipeline designer, scheduling, monitoring, source connectors, and reliable movement between storage, databases, APIs, and SaaS systems. I read the strongest fit as Azure-based teams that need scheduled data ingestion and dependency-managed pipelines. Feedback also mentions limited debugging detail, pipeline sprawl, latency for real-time needs, and less advanced transformation depth than dedicated processing engines. ### What Do G2 Reviewers Say About Azure Data Factory? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of automating complex data workflows** with Azure Data Factory, simplifying integration across various data sources. - Users find the **ease of use** in Azure Data Factory invaluable for connecting and managing diverse data sources effortlessly. - Users appreciate the **ease of connecting various data sources** , simplifying data integration and management across platforms. - Users appreciate the **seamless data integration capabilities** of Azure Data Factory, simplifying complex workflows across various data sources. - Users commend Azure Data Factory for its **scalability** , simplifying large data integration workflows with an intuitive interface. **Cons:** - Users often find **debugging difficult** in Azure Data Factory due to its limited troubleshooting tools and complexity. - Users find **difficult debugging** a major challenge in Azure Data Factory, complicating their experience with complex pipelines. - Users find Azure Data Factory **expensive** , especially with rising costs from large data volumes and frequent pipeline executions. - Users find Azure Data Factory has **feature limitations** , hindering complex transformations and Power BI integration. - Users find the **complexity** of Azure Data Factory overwhelming, especially with debugging and managing intricate workflows. #### Key Features - Reporting - Extraction #### What Are Recent G2 Reviews of Azure Data Factory? **"[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) --- **"[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) --- #### 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) ### 6. [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 157 **Why buyers love it?:** IBM watsonx.data stood out to me in the feedback as a lakehouse-oriented platform for analytics teams working across large datasets and object storage. Reviewers highlight fast querying, open data access, and support for analytics workloads without forcing all data into one conventional warehouse pattern. I found its clearest fit in organizations that want governed lakehouse analytics across mixed storage environments. Documentation gaps and setup complexity also appear as adoption factors in the reviews. ### 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, enabling seamless data management and simplified analytics. - Users appreciate the **fast performance and seamless integration** of IBM watsonx.data, enhancing their data management experience. - Users value the **flexibility and AI integration** of IBM watsonx.data, enhancing practical data management across hybrid environments. - Users appreciate the **seamless integration** capabilities of IBM watsonx.data with other IBM tools, enhancing workflow efficiency. - Users appreciate the **real-time analytics** of IBM watsonx.data, enhancing decision-making and simplifying data management significantly. **Cons:** - Users face a **steep learning curve** with watsonx.data, as setup and feature complexity can hinder initial use. - Users find the **complexity** of IBM watsonx.data a barrier, especially for beginners navigating its steep learning curve. - Users find IBM watsonx.data **expensive** , making it challenging for small teams and startups to justify the cost. - Users find the setup process for IBM watsonx.data to be **difficult and time-consuming** , impacting overall user experience and accessibility. - Users often experience **difficulty** in navigation and understanding, making the platform less beginner-friendly for new users. #### Key Features - Real-Time Data Collection - Hadoop Integration - Machine Scaling - Cloud Processing - Data Querying #### What Are Recent G2 Reviews of IBM watsonx.data? **"[Efficient and Scalable Lakehouse Platform for Modern Data Analytics](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12677827)"** **Rating:** 4.0/5.0 stars *— Yash P.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12677827) --- **"[Powerful, Secure, and Scalable Platform with Easy Data Migration](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12633677)"** **Rating:** 5.0/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12633677) --- ### 7. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 370 **Why buyers love it?:** SnapLogic IIP read to me as a broad enterprise integration platform rather than a tool for isolated ETL tasks. Reviewers highlight visual pipeline design, reusable Snaps, large connector coverage, and the ability to connect multiple systems with less manual development. I found its strongest fit in organizations that need visual integration across varied enterprise applications and data flows. Debugging, complex pipeline management, and configuration depth also appear in the feedback as areas that require skill. ### What Do G2 Reviewers Say About SnapLogic Intelligent Integration Platform (IIP)? *AI-generated summary from verified user reviews* **Pros:** - Users highly value the **ease of use** of SnapLogic IIP, facilitating quick integration without extensive coding. - Users value the **easy integrations** in SnapLogic, enhancing efficiency with low-code pipeline building and user-friendly navigation. - Users value the **seamless integration** capabilities of SnapLogic IIP, enhancing connectivity across diverse systems effortlessly. - Users love the **user-friendly interface** of SnapLogic, making it easy to accomplish tasks efficiently. - Users value the **automation capabilities** of SnapLogic IIP, simplifying integration tasks and enhancing productivity significantly. **Cons:** - Users experience **performance issues** including slow processing, debugging difficulties, and unreliable load balancing under heavy workloads. - Users struggle with **poor performance** when handling large workloads, causing frustration and inefficiency in their processes. - Users struggle with **technical difficulties** , finding debugging errors challenging and experiencing performance drops under heavy workloads. - Users find the **complexity of choosing Snaps** and troubleshooting errors in SnapLogic IIP to be quite challenging. - Users experience **limited error reporting** on SnapLogic IIP, making debugging and performance tuning challenging during complex integrations. #### Key Features - Orchestration - API Monitoring - App Integration - Auditing - Extraction #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **"[Improved Data Connectivity with Room for Stability Enhancements](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834)"** **Rating:** 4.0/5.0 stars *— Savio M.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834) --- **"[Streamlined Integrations with AI-Powered Efficiency](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12380685)"** **Rating:** 5.0/5.0 stars *— Sanket N.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12380685) --- #### 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 ### 8. [Alteryx](https://www.g2.com/products/alteryx/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 651 **Why buyers love it?:** Alteryx’s feedback was strongest to me around making data preparation, blending, and analysis accessible through visual workflows. Reviewers highlight drag-and-drop design, automation of repetitive reporting tasks, large dataset handling, and reduced dependence on manual spreadsheet work. I found its clearest fit in teams that need repeatable data prep and analytics workflows without writing code line by line. Performance slowdowns, memory pressure, pricing, version control, and clearer error guidance also come through as areas that matter in larger workflows. ### 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 all skill levels. - Users praise Alteryx for its **automation capabilities** , which significantly enhance speed and efficiency in data processing. - Users praise Alteryx for its **intuitive interface** , making data management and analysis effortless and efficient. - Users find Alteryx **easy to learn and use** , benefiting from its intuitive layout and helpful community support. - Users appreciate the **efficiency** of Alteryx, enabling quick data processing and seamless integration for streamlined workflows. **Cons:** - Users find Alteryx **expensive** , making it challenging for small teams or startups to justify the cost. - Users face a **steep learning curve** when tackling advanced features, which can delay effective usage of Alteryx. - Users find it frustrating that Alteryx has **missing features** like essential connectors and support for special characters. - Users find that **learning difficulty** can arise from troubleshooting errors and confusing tool names, especially for beginners. - Users often face **slow performance** when handling large datasets, impacting their overall experience with Alteryx. #### Key Features - Data Column Filtering - Data Visualization - WYSIWYG Report Design - Data Unification - Data Visualization #### What Are Recent G2 Reviews of Alteryx? **"[Easy, Time-Saving Data Automation with Alteryx’s Drag-and-Drop Workflows](https://www.g2.com/survey_responses/alteryx-review-12594796)"** **Rating:** 4.0/5.0 stars *— Kapil S.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12594796) --- **"[powerful data prep made simple with drag-and-drop](https://www.g2.com/survey_responses/alteryx-review-12714902)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12714902) --- ### 9. [Workato](https://www.g2.com/products/workato/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 726 **Why buyers love it?:** Workato’s feedback led me to view it as an automation platform with more depth than simple point-to-point integration. Reviewers highlight a low-code recipe model, a broad connector library, fast workflow setup, and support for business processes that span multiple applications. I read the strongest fit as teams that need to automate cross-app processes with technical flexibility and less custom code. Reviewers also describe a steeper path for complex logic, pricing concerns, and workflow management challenges as usage expands. ### What Do G2 Reviewers Say About Workato? *AI-generated summary from verified user reviews* **Pros:** - Users find Workato's **ease of use** remarkable, effortlessly handling both simple and complex tasks with seamless navigation. - Users value the **easy-to-use integrations** of Workato, enhancing efficiency across multiple systems with low code accessibility. - Users find **easy integrations** with Workato to be intuitive, significantly reducing time spent on repetitive tasks. - Users appreciate the **automation capabilities** of Workato, allowing them to implement complex workflows easily and efficiently. - Users enjoy the **user-friendly design** of Workato, simplifying automation and enhancing efficiency across diverse systems. **Cons:** - Users find the **complexity** of Workato's terminology and documentation overwhelming, hindering a smooth onboarding experience. - Users face a **steep learning curve** with Workato due to complex terminology and sometimes unclear documentation. - Users note the **missing features** in Workato, particularly for ETL implementations and outdated documentation. - Users face **data limitations** with Workato, leading to confusion due to inadequate documentation and slow customer service. - Users find Workato's **pricing challenging** , especially as usage grows, complicating expansion compared to other tools. #### Key Features - API Testing - Traffic Control - App Integration - White Labelled - Low-Code #### What Are Recent G2 Reviews of Workato? **"[Seamless Integration, Effortless Automation](https://www.g2.com/survey_responses/workato-review-12193616)"** **Rating:** 5.0/5.0 stars *— Verified User in Program Development* [Read full review](https://www.g2.com/survey_responses/workato-review-12193616) --- **"[Robust Integration with Room for Improvement](https://www.g2.com/survey_responses/workato-review-12106962)"** **Rating:** 4.0/5.0 stars *— Ayan S.* [Read full review](https://www.g2.com/survey_responses/workato-review-12106962) --- #### 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 ### 10. [Celigo](https://www.g2.com/products/celigo/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 1,018 **Why buyers love it?:** When I reviewed Celigo feedback, I saw the clearest pattern around operational integration for teams connecting NetSuite with ecommerce, CRM, fulfillment, and other business systems. Reviewers highlight prebuilt flows, a usable interface, real-time sync, support quality, and low-code flexibility. I read the product as strongest when it supports ongoing business-process sync across several applications rather than a single lightweight connection. Feedback also points to generic error messages, developer help during setup, and cost sensitivity when usage stays narrow. ### What Do G2 Reviewers Say About Celigo? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Celigo, enjoying its straightforward interface and efficient connectivity options. - Users commend Celigo's **comprehensive integration options** , enabling seamless connections and efficient workflows with various partners. - Users value the **integration capabilities** of Celigo, enabling seamless connections across varying levels of complexity. - Users highlight the **easy integrations** provided by Celigo, especially with NetSuite, enhancing overall operational efficiency. - Users value the **responsive and helpful customer support** of Celigo, enhancing their overall experience with the product. **Cons:** - Users face **unclear error messages** that complicate resolution and tracking of random missing issues in Celigo. - Users note that Celigo can be quite **expensive** , especially for small businesses navigating its pricing tiers. - Users experience a significant **learning curve** with Celigo, making initial understanding and usage challenging for some employees. - Users find the **premium pricing** of Celigo to be a significant drawback, especially with added modules. - Users find the **complexity of Celigo** overwhelming, especially with vague error messages and confusing data structures. #### Key Features - Logs/Documentation - App Integration - Security Standards - API Designer - Monitoring & Notification #### What Are Recent G2 Reviews of Celigo? **"[Go for it if you’re looking for a solid integration platform](https://www.g2.com/survey_responses/celigo-review-11876505)"** **Rating:** 4.5/5.0 stars *— Goutham P.* [Read full review](https://www.g2.com/survey_responses/celigo-review-11876505) --- **"[Celigo, a greta integrator with a University Lab inside it.](https://www.g2.com/survey_responses/celigo-review-10532295)"** **Rating:** 5.0/5.0 stars *— Ignacio R.* [Read full review](https://www.g2.com/survey_responses/celigo-review-10532295) --- #### What Are G2 Users Discussing About Celigo? - [What is Celigo used for?](https://www.g2.com/discussions/what-is-celigo-used-for) ### 11. [AWS Glue](https://www.g2.com/products/aws-glue/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 191 **Product Description:** AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. ### What Do G2 Reviewers Say About AWS Glue? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of AWS Glue, finding it simple for analytics and ETL operations. - Users value the **seamless data integration** capabilities of AWS Glue, enhancing analytics and application development efficiency. - Users value the **fully managed ETL service** of AWS Glue, appreciating its seamless integration and ease of use. - Users love AWS Glue for its **ease of data preparation and versatile job management features** for analytics and machine learning. - Users appreciate the **ease of implementation** with AWS Glue, simplifying their data integration and ETL operations. **Cons:** - Users often experience **slow performance** with AWS Glue's startup times and challenging debugging processes. - Users often face **debugging difficulties** with AWS Glue due to unclear error messages and a steep learning curve. - Users face **difficult debugging** in AWS Glue due to unclear error messages, causing frustration during job execution. - Users face **performance issues** with slow startup times and complex debugging, especially when new to AWS Glue. - Users find AWS Glue to have a **time-consuming start-up** , impacting efficiency and complicating job management. #### What Are Recent G2 Reviews of AWS Glue? **"[AWS Glue: Scalable and automated ETL with seamless integration into the AWS ecosystem](https://www.g2.com/survey_responses/aws-glue-review-12343662)"** **Rating:** 4.5/5.0 stars *— Caleb F.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12343662) --- **"[AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration](https://www.g2.com/survey_responses/aws-glue-review-12380790)"** **Rating:** 4.5/5.0 stars *— Pradip G.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12380790) --- #### What Are G2 Users Discussing About AWS Glue? - [What is AWS Glue and how it works?](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works) - 1 comment - [What does AWS Glue do?](https://www.g2.com/discussions/what-does-aws-glue-do) - 2 comments - [What are the main components of AWS Glue?](https://www.g2.com/discussions/what-are-the-main-components-of-aws-glue) - 2 comments ### 12. [Fivetran](https://www.g2.com/products/fivetran/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 776 **Why buyers love it?:** Fivetran came through in the feedback as a managed ingestion tool for analytics environments. Reviewers highlight reliable connectors, schema handling, and reduced maintenance for source-to-warehouse pipelines. I saw its value most clearly for teams that want managed ELT ingestion and prefer to spend less time on pipeline upkeep. Pricing, connector coverage, and specific configuration limits also come up as areas to examine carefully. ### What Do G2 Reviewers Say About Fivetran? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Fivetran, simplifying data syncing to various platforms for analytics. - Users find Fivetran's **easy setup** process simplifies integration and enhances data accessibility across applications. - Users appreciate the **easy integration** capabilities of Fivetran, streamlining data flow to various SaaS applications effortlessly. - Users praise the **efficient customer support** of Fivetran, highlighting its responsiveness and insightful assistance. - Users enjoy the **simple and intuitive UI** of Fivetran, enabling effortless navigation and integration management. **Cons:** - Users often face **sync issues** with Fivetran, leading to delays and a lack of confidence in reliability. - Users find Fivetran's pricing to be **expensive** , making scaling and affordability a challenge for various business sizes. - Users face **integration issues** with Fivetran, including difficulties connecting to various platforms and limited support. - Users are frustrated with **pricing issues** , citing lack of transparency and unexpected charges that complicate budgeting. - Users find the **learning curve challenging** due to frequent changes and instability, complicating onboarding and understanding key concepts. #### Key Features - Diverse Extraction Points - Reporting - Pay by Usage - Diverse Extraction Points #### What Are Recent G2 Reviews of Fivetran? **"[Effortless Data Integration with Wide Connectivity](https://www.g2.com/survey_responses/fivetran-review-12701875)"** **Rating:** 4.5/5.0 stars *— Satya Prateek B.* [Read full review](https://www.g2.com/survey_responses/fivetran-review-12701875) --- **"[Surprisingly Easy Setup, Smooth Warehouse Sync, and Great Performance](https://www.g2.com/survey_responses/fivetran-review-12796484)"** **Rating:** 4.5/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/fivetran-review-12796484) --- #### 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) ### 13. [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 120 **Why buyers love it?:** Boomi Data Integration’s feedback led me to operational integration across sales and finance workflows. Reviewers highlight faster integration buildout, process visibility, transaction handling, and less need for heavy custom development. I saw its strongest fit in organizations that need a shared integration layer across business-critical systems such as CRM, ERP, billing, and service tools. Debugging can take more effort when processes become complex or data volumes rise, which also appears in the review feedback. ### 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 convenient and user-friendly for new implementations. - Users appreciate the **excellent customer support** from Boomi Data Integration, ensuring smooth implementation and ongoing assistance. - Users appreciate the **wide range of connectors** in Boomi Data Integration, simplifying data management and reporting. - Users highlight the **automation capabilities** of Boomi Data Integration, improving efficiency in scheduling and ETL processes. - Users find **implementation ease** with Boomi Data Integration seamless, supported by attentive customer service and user-friendly design. **Cons:** - Users face **data limitations** in Boomi Data Integration, often lacking necessary documentation or required fields from sources. - Users experience **information deficiency** with Boomi Data Integration, often finding missing documentation and incomplete data fields. - Users find **insufficient information** regarding documentation and available fields, leading to complications in data integration. - Users often find **missing features** in Boomi Data Integration, limiting their ability to connect to various data sources effectively. - Users experience **limited features** with Boomi Data Integration, often lacking necessary documentation and report fields. #### Key Features - Diverse Extraction Points - Reporting - Data Protection - Diverse Extraction Points #### What Are Recent G2 Reviews of Boomi Data Integration? **"[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) --- **"[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) --- #### 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 ### 14. [FME Platform](https://www.g2.com/products/fme-platform/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 117 **Why buyers love it?:** FME Platform’s feedback felt distinct because reviewers repeatedly connect it to spatial, file, and system-to-system transformation work. Reviewers highlight format coverage, transformers, automation, and the ability to convert data between specialized systems. I read the product as strongest for data operations where geospatial or highly varied formats make standard ETL tools feel too generic. Advanced workflows and product terminology also come through as areas that can take time to master. ### What Do G2 Reviewers Say About FME Platform? *AI-generated summary from verified user reviews* **Pros:** - Users praise FME Platform for its **fantastic ease of use** , enabling both beginners and experts to navigate workflows effortlessly. - Users appreciate the **ease of use and fast performance** of the FME Platform, particularly in data management tasks. - Users value the **automation capabilities** of FME Platform, streamlining workflows and enhancing efficiency without developer assistance. - Users are impressed with FME Platform's **intuitive ease of use and extensive library of supported data types**. - Users admire the **wide range of data transformation capabilities** offered by FME Platform, enhancing their workflow efficiency. **Cons:** - Users find the **complexity** of FME Platform frustrating, particularly in authentication management and navigating log files. - Users find the FME Platform to be **expensive** , particularly affecting organizations with smaller budgets. - Users find the **learning curve steep** , making it challenging to onboard and utilize the FME Platform effectively. - Users note a **steep learning curve** that can make initial use challenging, though it improves with experience. - Users find the **pricing issues** with FME Platform challenging, especially for smaller teams and individual developers. #### Key Features - Reporting - Extraction - Real-Time Integration #### What Are Recent G2 Reviews of FME Platform? **"[Reliable ETL and Geospatial Transformations That Keep Workflows Organized](https://www.g2.com/survey_responses/fme-platform-review-12794716)"** **Rating:** 4.5/5.0 stars *— Harvey B.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12794716) --- **"[Stronger Security and Faster Troubleshooting with FME](https://www.g2.com/survey_responses/fme-platform-review-12814911)"** **Rating:** 4.5/5.0 stars *— Wei H.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12814911) --- #### 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) ### 15. [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 81 **Product Description:** Informatica PowerCenter® helps you unleash the value of your data. It offers a unique end-to-end data integration platform, with a broad set of capabilities to integrate raw, fragmented data from disparate sources, transforming it into complete, high-quality, business-ready information. As your environment grows and matures, PowerCenter scales to meet your expanding business needs, data volumes, and complexity, while providing insights to IT and the business ### What Do G2 Reviewers Say About Informatica PowerCenter? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of Informatica PowerCenter, simplifying ETL processes and reducing manual coding significantly. - Users appreciate the **robust data integration capabilities** of Informatica PowerCenter, supporting various data sources effortlessly. - Users highlight the **user-friendly interface** of Informatica PowerCenter, appreciating its ease of use and low coding requirements. - Users appreciate the **easy-to-use interface** of Informatica PowerCenter, which enhances efficiency in managing ETL processes. - Users appreciate the **intuitive drag-and-drop feature** of Informatica PowerCenter, simplifying ETL processes and enhancing visualization. **Cons:** - Users highlight the **high costs** associated with Informatica PowerCenter, impacting budgets for small to medium-sized businesses. - Users experience **integration issues** with cloud services, making seamless operation and scaling challenging for Informatica PowerCenter. - Users face **cloud dependency issues** with Informatica PowerCenter, hindering integration with modern cloud environments and resources. - Users find the **complexity** of accessing workflow parameters cumbersome and time-consuming, hindering their productivity. - Users face **complex management** challenges with Informatica PowerCenter, including resource demands and high maintenance costs. #### What Are Recent G2 Reviews of Informatica PowerCenter? **"[Streamlined Data Integration with Intuitive Drag-and-Drop](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)"** **Rating:** 4.5/5.0 stars *— Vallabh P.* [Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255) --- **"[Robust Data Integration with Steep Setup](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)"** **Rating:** 4.0/5.0 stars *— Nihal R.* [Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137) --- #### What Are G2 Users Discussing About Informatica PowerCenter? - [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/informatica-powercenter-what-is-informatica-powercenter-used-for) - 1 comment - [What are objects in Informatica?](https://www.g2.com/discussions/what-are-objects-in-informatica) - [What is Informatica platform?](https://www.g2.com/discussions/what-is-informatica-platform) ### 16. [dbt](https://www.g2.com/products/dbt/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 204 **Product Description:** dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. ### What Do G2 Reviewers Say About dbt? *AI-generated summary from verified user reviews* **Pros:** - Users find **dbt's ease of use** exceptional, simplifying data transformation and integration processes significantly. - Users value dbt for its **developer-friendly structure** , promoting organized analytics work and enhancing collaboration and efficiency. - Users value how dbt offers **automation** in data modeling, enhancing reliability and confidence in analytics workflows. - Users value the **clean and organized data transformation** approach of dbt, enhancing reliability and collaboration in analytics. - Users value the **seamless integrations** of dbt with various data platforms, enhancing their modeling and transformation processes. **Cons:** - Users find the **limited functionality** of dbt frustrating, impacting flexibility and slowing down their workflow significantly. - Users experience **dependency issues** with dbt, leading to complexity in troubleshooting and slower delivery of projects. - Users find the **steep learning curve** of dbt challenging, particularly with complex projects and command-line reliance. - Users find the **error messaging unclear** , making debugging and identifying issues a frustrating task. - Users find the **error messages vague** , making it difficult to identify issues and troubleshoot effectively. #### What Are Recent G2 Reviews of dbt? **"[dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features](https://www.g2.com/survey_responses/dbt-review-12712114)"** **Rating:** 5.0/5.0 stars *— Hithesh P.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12712114) --- **"[Effortless Data Transformations with dbt](https://www.g2.com/survey_responses/dbt-review-12737111)"** **Rating:** 5.0/5.0 stars *— Akash M.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12737111) --- #### What Are G2 Users Discussing About dbt? - [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments - [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments - [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment ### 17. [Clarisights](https://www.g2.com/products/clarisights/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 63 **Product Description:** Clarisights is the leading marketing analytics platform for Enterprises. Connect, visualize and explore all your marketing data in one place. Go from a cross-channel overview to in-depth campaign deep dives in a few clicks. From questions to insights in minutes. With Clarisights, performance marketers can move freely with data to iterate fast and accelerate testing cycles. Without relying on SQL, waiting for data teams or manual reporting in spreadsheets. Trusted by the most sophisticated Marketing teams, including those at Uber, Delivery Hero, HelloFresh, About You, and On. ### What Do G2 Reviewers Say About Clarisights? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Clarisights for intuitive reporting and efficient data analysis across channels. - Users find Clarisights **remarkably flexible and efficient** for comprehensive reporting and performance analysis across multiple domains. - Users find Clarisights to be **intuitive and easy to use** , greatly enhancing reporting and data analysis efficiency. - Users value the **efficiency of Clarisights reporting** , enabling quick analysis and data-driven insights for multiple regions. - Users appreciate the **powerful single analytics platform** of Clarisights, enabling efficient reporting and data-driven decision-making. **Cons:** - Users face **integration issues** with Clarisights, requiring support despite some successful workarounds by the team. - Users experience a **slight learning curve** with Clarisights, but find onboarding materials and support helpful for adoption. - Users face **technical issues when renaming campaigns** , making integration less intuitive despite supportive accountants. - Users face **data limitations** with Clarisights, hindering in-depth analysis of search advertising performance. - Users find the **lack of customization** limits deeper analysis and insights for search advertising efforts. #### What Are Recent G2 Reviews of Clarisights? **"[A tool that provides very powerful view for our marketing data](https://www.g2.com/survey_responses/clarisights-review-11350982)"** **Rating:** 5.0/5.0 stars *— Angela T.* [Read full review](https://www.g2.com/survey_responses/clarisights-review-11350982) --- **"[Reliable, comprehensive marketing analytics platform for effective self-service](https://www.g2.com/survey_responses/clarisights-review-10733401)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/clarisights-review-10733401) --- ### 18. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **Product Description:** Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users value the **user-friendliness** of ILUM, allowing for quick deployment and effortless management of workflows. - Users value ILUM's **seamless integration** with existing systems and its user-friendly interface for efficient data management. - Users commend ILUM for its **seamless integration with existing systems** , facilitating efficient data management and Spark workloads. - Users find the **setup ease** of ILUM remarkable, allowing quick deployment and seamless integration in their environments. - Users value the **easy integrations** of ILUM, simplifying complex workflows and enhancing overall operational efficiency. **Cons:** - Users find the **complex setup** of ILUM challenging, requiring time to manage configurations and optimize performance. - Users find the **difficult setup** of ILUM requires extensive tuning and customization for optimal performance and usability. - Users find the **learning curve challenging** with ILUM, needing time to adapt to its advanced configurations and interface. - Users note a need for **improved UX** in advanced settings, as some features require extensive digging or fine-tuning. - Users find ILUM's **complexity in advanced configurations** challenging, needing time to fully grasp its extensive features. #### What Are Recent G2 Reviews of ILUM? **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- ### 19. [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 101 **Product Description:** Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs. ### What Do G2 Reviewers Say About Informatica Cloud Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of use** in Informatica Cloud Data Integration refreshing, especially its intuitive drag-and-drop features. - Users appreciate the **efficiency** of Informatica Cloud Data Integration, enabling seamless data transfers and transformations without software installation. - Users appreciate the **ease of use** with Informatica Cloud Data Integration, benefiting from its intuitive drag-and-drop features. - Users value the **time-saving features** of Informatica Cloud Data Integration, enabling efficient access and seamless operations. - Users value the **automation capabilities** of Informatica Cloud Data Integration, making data workflows seamless and efficient. **Cons:** - Users find the **complexity of setup and configuration** challenging, particularly for newcomers to the platform. - Users struggle with the **complex usability** of Informatica Cloud Data Integration, especially during setup and performance optimization. - Users find **debugging difficult** , as it often requires significant effort and expertise to resolve issues effectively. - Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers to the platform. - Users face challenges with **error messages** in Informatica Cloud Data Integration, complicating the mapping process and troubleshooting. #### What Are Recent G2 Reviews of Informatica Cloud Data Integration? **"[Reliable Cloud ETL for Scalable Data Integration](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993)"** **Rating:** 4.5/5.0 stars *— Akshat G.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12106993) --- **"[Simplifies Data Integration with Powerful Tools](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745)"** **Rating:** 4.0/5.0 stars *— Vallabh P.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-integration-review-12104745) --- #### What Are G2 Users Discussing About Informatica Cloud Data Integration? - [What is your experience regarding pricing and costs for Informatica Cloud Data Integration, and how does it compare to other ETL tools?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-informatica-cloud-data-integration-and-how-does-it-compare-to-other-etl-tools) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud-7e364663-ec1e-4fca-9c65-4b962f135858) - [What is the difference between Informatica and Informatica Cloud?](https://www.g2.com/discussions/informatica-cloud-data-integration-what-is-the-difference-between-informatica-and-informatica-cloud) ### 20. [Frends](https://www.g2.com/products/frends/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 137 **Product Description:** Frends is a European low-code integration platform as a service (iPaaS) that enables organizations to connect applications, automate workflows, and manage APIs across cloud and on-premises environments. Designed for both developers and business technologists, Frends helps streamline system communication, reduce integration complexity, and support real-time operations. The platform supports a wide range of use cases including ERP modernization, cloud migration, business process automation, and data synchronization between legacy and modern systems. With a graphical interface based on BPMN 2.0 and built-in AI capabilities, Frends makes it easier to build, monitor, and manage integration processes without heavy reliance on custom code. Frends is built on Microsoft .NET and integrates natively with a wide range of systems including Microsoft Dynamics, Salesforce, SAP, and various industry-specific tools. Frends is used across industries such as public sector, utilities, manufacturing, finance, and retail. It is particularly suited for IT teams seeking to unify integration, automation, and API management into a single tool while maintaining compliance and security in distributed environments. Key capabilities include: - Building and managing integrations visually with BPMN 2.0 to accelerate development and collaboration - Automating business processes and system tasks with reusable, scalable workflows - Monitoring integrations in real-time to reduce downtime and improve operational visibility - Managing APIs and connections securely with full version control and access management - Leveraging AI assistance to configure integrations, generate documentation, and streamline onboarding --- Frends has been recognized in the Gartner® Magic Quadrant™ for Enterprise iPaaS and ranks consistently as a G2 High Performer across usability, setup, and implementation. The platform enables faster time-to-value, reduces reliance on custom development, and gives teams the tools to adapt quickly to change, making it a preferred integration solution for organizations in Europe and beyond. ### What Do G2 Reviewers Say About Frends? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Frends, enabling quick and clear process understanding for all stakeholders. - Users value the **visual BPMN approach** in Frends, enhancing clarity and control in process management and integrations. - Users appreciate the **easy integrations** with Frends, making complex scenarios manageable for both technical and non-technical users. - Users value the **easy-to-understand integration architecture** of Frends, simplifying complex scenarios for both technical and non-technical users. - Users appreciate the **easy-to-use integration capabilities** of Frends, enabling both beginners and experts to build integrations effortlessly. **Cons:** - Users find the **absence of visual mapping tools** a notable drawback, impacting overall usability and experience. - Users find **overall UX improvement necessary** , citing issues with documentation, GUI, and cumbersome environment variables. - Users find the **limited features** of Frends hinder the development experience, lacking essential tools and libraries. - Users find **difficult learning** curve with Frends, struggling to understand integrations and navigate confusing UI elements. - Users find **integration issues** frustrating, with complex processes, confusing notations, and restrictive GUI affecting usability. #### What Are Recent G2 Reviews of Frends? **"[Powerful Integration Tool with Easy Setup](https://www.g2.com/survey_responses/frends-review-7497955)"** **Rating:** 5.0/5.0 stars *— Verified User in Logistics and Supply Chain* [Read full review](https://www.g2.com/survey_responses/frends-review-7497955) --- **"[Effortless Integration with Superior Debugging](https://www.g2.com/survey_responses/frends-review-10792154)"** **Rating:** 4.5/5.0 stars *— Riika A.* [Read full review](https://www.g2.com/survey_responses/frends-review-10792154) --- #### What Are G2 Users Discussing About Frends? - [What is Frends used for?](https://www.g2.com/discussions/what-is-frends-used-for) ### 21. [Adverity](https://www.g2.com/products/adverity/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 256 **Product Description:** Centralized Data Management for the Modern Marketer Adverity is the marketing intelligence platform that empowers agencies and enterprises to transform complex data into confident, AI-powered decisions. Through automated connectivity to 600+ data sources and destinations, unrivalled data transformation capabilities, powerful data governance, and built-in agentic and conversational AI for streamlined data access and insight activation, Adverity enables smarter, faster decision-making. Adverity is used by leading brands and agencies including Unilever, Bosch, IKEA, Barilla, Forbes, GroupM, Publicis, Dentsu, and more. ### What Do G2 Reviewers Say About Adverity? *AI-generated summary from verified user reviews* **Pros:** - Users find Adverity to be **easy to use** , effectively centralizing data with minimal maintenance required. - Users find Adverity's **data management capabilities** exceptional, centralizing and standardizing diverse marketing and business data effortlessly. - Users value the **wide range of pre-built integrations** in Adverity, making data centralization and analysis seamless. - Users value the **easy integrations** of Adverity, enabling seamless connection to various data sources and tools. - Users highly value the **responsive customer support** of Adverity, which aids in timely problem-solving and guidance. **Cons:** - Users find Adverity **time-consuming** , experiencing delays in data pipelines that complicate reporting and efficiency. - Users experience **frustrating data management issues** , such as difficulty tracking mistakes and slow communication on ticket updates. - Users experience a **lack of information** on administrative actions and unclear error messages, leading to frustration and confusion. - Users face **time delays** with Adverity as data pipelines can throttle and take hours to complete, affecting reporting. - Users find the **difficult learning** curve of Adverity can hinder effective use, especially for advanced features. #### What Are Recent G2 Reviews of Adverity? **"[Adverity Centralizes Marketing Data with Scalable, Automated Transformations](https://www.g2.com/survey_responses/adverity-review-12723134)"** **Rating:** 5.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/adverity-review-12723134) --- **"[Fast & Intuitive Dashboards for Marketplaces](https://www.g2.com/survey_responses/adverity-review-12719805)"** **Rating:** 4.5/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/adverity-review-12719805) --- #### What Are G2 Users Discussing About Adverity? - [What is Adverity used for?](https://www.g2.com/discussions/what-is-adverity-used-for) - 1 comment ### 22. [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 92 **Product Description:** Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence. #### What Are Recent G2 Reviews of Talend Cloud Data Integration? **"[Talend Application Used for past 5 years - Great Experience](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989) --- **"[A great tool that makes data integration easy.](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)"** **Rating:** 4.5/5.0 stars *— Verle P.* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380) --- #### What Are G2 Users Discussing About Talend Cloud Data Integration? - [What do you like most about Talend Cloud Data Integration, and how has it improved your ETL processes?](https://www.g2.com/discussions/what-do-you-like-most-about-talend-cloud-data-integration-and-how-has-it-improved-your-etl-processes) - [What is Talend Cloud Data Integration used for?](https://www.g2.com/discussions/what-is-talend-cloud-data-integration-used-for) - [What does Talend software do?](https://www.g2.com/discussions/talend-cloud-data-integration-what-does-talend-software-do) ### 23. [Matillion](https://www.g2.com/products/matillion-2023-06-26/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 79 **Product Description:** Matillion's Data Productivity Cloud is a sophisticated data integration and transformation solution designed to assist organizations in managing multi-modal data across various cloud platforms. This platform streamlines the process of data handling, enabling teams to efficiently integrate, transform, and govern their data assets. By leveraging Matillion’s capabilities, businesses can ensure that their data is not only accessible but also actionable, paving the way for informed decision-making and enhanced operational efficiency. The target audience for Matillion's Data Productivity Cloud includes data engineers, analysts, and business leaders who require a robust solution to handle complex data environments. Organizations that operate across multiple cloud platforms will find particular value in this tool, as it simplifies the integration of diverse data sources. Use cases range from data migration and ETL (Extract, Transform, Load) processes to real-time analytics and reporting, making it an essential asset for teams looking to harness the full potential of their data. A standout feature of Matillion's offering is Maia, the first agentic data team member, which acts as a virtual assistant to enhance team capacity without the need for additional hires. Unlike traditional copilots, Maia is designed to build validated data pipelines on Matillion’s low-code platform, guiding users through the process step by step. This approach not only ensures accuracy but also embeds governance and security measures throughout the data lifecycle, significantly mitigating risks associated with data management. The benefits of using Matillion's Data Productivity Cloud extend to both leadership and technical teams. Business leaders gain faster insights and improved return on investment (ROI) as the platform accelerates the delivery of AI-ready data. Meanwhile, data engineers can shift their focus from repetitive tasks to more innovative projects, fostering a culture of creativity and efficiency within the organization. By automating routine processes and ensuring data integrity, Matillion empowers teams to leverage their data strategically, ultimately driving better business outcomes. In summary, Matillion's Data Productivity Cloud stands out in the data integration landscape by offering a comprehensive solution that combines advanced technology with user-friendly features. Its focus on governance, security, and efficiency makes it a valuable tool for organizations aiming to optimize their data strategies and achieve measurable results. ### What Do G2 Reviewers Say About Matillion? *AI-generated summary from verified user reviews* **Pros:** - Users find Matillion's **ease of use** refreshing, thanks to its intuitive interface and helpful resources for beginners. - Users appreciate the **automation features** of Matillion, streamlining ETL processes and enhancing efficiency across various platforms. - Users find Matillion's **simple UI** and seamless integration highly beneficial for configuring and understanding ETL processes. - Users appreciate Matillion's **simple and intuitive UI** , making ETL processes easy to configure and understand. - Users value the **ETL efficiency** of Matillion, praising its user-friendly interface and seamless cloud integration. **Cons:** - Users face **feature limitations** with Matillion, such as Jython performance issues and challenges in template reusability. - Users find Matillion's **pricing model expensive** , especially as data volume increases and usage must be carefully managed. - Users report **job performance issues** with Jython and workflow limitations, hindering overall efficiency and functionality. - Users find **cloud dependency** challenging due to costs, limited customization, and maintenance needs affecting overall experience. - Users face **API limitations** in Matillion, hindering access to administrative features and data export options. #### What Are Recent G2 Reviews of Matillion? **"[Matillion Delivers High Performance and a Truly Collaborative Partnership](https://www.g2.com/survey_responses/matillion-review-12734142)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/matillion-review-12734142) --- **"[Professional ELT Data Integration Tool](https://www.g2.com/survey_responses/matillion-review-9398954)"** **Rating:** 4.5/5.0 stars *— Oliver C.* [Read full review](https://www.g2.com/survey_responses/matillion-review-9398954) --- #### What Are G2 Users Discussing About Matillion? - [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) ### 24. [Singular](https://www.g2.com/products/singular/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 500 **Product Description:** Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights. ### What Do G2 Reviewers Say About Singular? *AI-generated summary from verified user reviews* **Pros:** - Users commend Singular for its **best-in-class customer support** , highlighting responsiveness and effective problem resolution. - Users value the **ease of use** of Singular, praising its straightforward onboarding and user-friendly dashboards. - Users find Singular's **helpful support** and easy implementation invaluable for managing multiple publishers and KPIs. - Users appreciate Singular's **flexibility and transparency** in data analysis, enhancing decision-making with customizable dashboards and insights. - Users commend the **reporting capabilities** of Singular, praising its user-friendly dashboards and effective customer support. **Cons:** - Users point out the **poor interface design** of Singular, noting its complexity and lack of intuitiveness hindering efficiency. - Users find the **UI to be non-intuitive** , often requiring extra support and explanation for efficient use. - Users experience **limitations in data attribution** and sharing capabilities with Singular, impacting trust and performance analysis. - Users experience **data limitations** with Singular, including attribution issues and slow feature access, affecting analysis and trust. - Users find the **limited attribution capabilities** of Singular frustrating, as it hinders accurate performance analysis and campaign optimization. #### What Are Recent G2 Reviews of Singular? **"[Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy](https://www.g2.com/survey_responses/singular-review-12624145)"** **Rating:** 4.5/5.0 stars *— Marko D.* [Read full review](https://www.g2.com/survey_responses/singular-review-12624145) --- **"[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)"** **Rating:** 4.5/5.0 stars *— Giedrius P.* [Read full review](https://www.g2.com/survey_responses/singular-review-5211366) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ### 25. [CloverDX](https://www.g2.com/products/cloverdx/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 72 **Why buyers love it?:** CloverDX stood out to me in the G2 reviews as a platform for structured ETL work that still allows technical control. Reviewers highlight visual job design, reusable components, automation, and flexibility for complex data flows. They also describe a learning curve around configuration, debugging, and more advanced pipeline logic. The product fits workflows where teams need governed, repeatable data movement across systems without giving up custom pipeline design. ### What Do G2 Reviewers Say About CloverDX? *AI-generated summary from verified user reviews* **Pros:** - Users find CloverDX to be **user-friendly** , appreciating its intuitive GUI and ease of data conversion. - Users highlight the **automation capabilities** of CloverDX, significantly improving efficiency and reducing manual errors. - Users find CloverDX's **intuitive user interface** enhances workflow efficiency and simplifies ETL pipeline creation. - Users highlight the **easy integrations** of CloverDX, allowing seamless connections to various data sources effortlessly. - Users appreciate the **user-friendly interface** of CloverDX, making data conversion and automation seamless and efficient. **Cons:** - Users find the **poor documentation** challenging, needing more detailed examples and interactive learning resources for better understanding. - Users report **connection issues** with CloverDX, noting limitations in SFTP connectivity and data transfer delays. - Users face a **steep learning curve** with CloverDX, particularly regarding advanced concepts and the transformation language. - Users find the **unclear documentation** of CloverDX challenging, wishing for more detailed examples and better guidance. - Users find the **complex usability** of CloverDX challenging, making navigation and feature understanding difficult. #### Key Features - Reporting - Extraction #### What Are Recent G2 Reviews of CloverDX? **"[Flexible Hybrid ETL with Powerful Visual Design and Predictable User-Based Pricing](https://www.g2.com/survey_responses/cloverdx-review-12487161)"** **Rating:** 4.0/5.0 stars *— Ajju B.* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-12487161) --- **"[Customizable Pipelines, Easy Setup with CloverDX](https://www.g2.com/survey_responses/cloverdx-review-10657839)"** **Rating:** 4.5/5.0 stars *— Pavlo T.* [Read full review](https://www.g2.com/survey_responses/cloverdx-review-10657839) --- #### What Are G2 Users Discussing About CloverDX? - [How much does CloverDX cost?](https://www.g2.com/discussions/how-much-does-cloverdx-cost) - 1 comment - [Is CloverDX open source?](https://www.g2.com/discussions/is-cloverdx-open-source) - 1 comment - [How do you use CloverDX?](https://www.g2.com/discussions/how-do-you-use-cloverdx) ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026