# 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 ### Category Stats (May 2026) - **Average Rating**: 4.55/5 (↑0.02 vs Apr 2026) - **New Reviews This Quarter**: 230 - **Buyer Segments**: Mid-Market 53% │ Small-Business 31% │ Enterprise 16% - **Top Trending Product**: Cloudera Data Platform (+0.155) *Last updated: May 18, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,100+ 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 (758 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[All-in-One Delta Lake Platform That Makes ETL Fast and Cost-Efficient](https://www.g2.com/survey_responses/databricks-review-12878359)" | | 2 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,147 reviews) | Serverless analytics on large cloud datasets | "[Fast, Scalable Serverless Analytics and data mining with Google bigquery](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204)" | | 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 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (773 reviews) | Drag-and-drop data prep and reporting automation | "[Easy, Time-Saving Data Automation with Alteryx’s Drag-and-Drop Workflows](https://www.g2.com/survey_responses/alteryx-review-12594796)" | | 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Unified Data Management with Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)" | | 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (133 reviews) | Geospatial and multi-format data transformation | "[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)" | | 7 | [Fivetran](https://www.g2.com/products/fivetran/reviews) | 4.3/5.0 (777 reviews) | Managed connector-based data ingestion | "[Effortless Data Integration with Wide Connectivity](https://www.g2.com/survey_responses/fivetran-review-12701875)" | | 8 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (727 reviews) | Low-code workflow automation across SaaS apps | "[Effortless Integration with workato Support](https://www.g2.com/survey_responses/workato-review-12805302)" | | 9 | [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)" | | 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (319 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Easy, No-Code Data Sync Setup with Straightforward Pricing](https://www.g2.com/survey_responses/skyvia-review-12828558)" | ## 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** ### Domo Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bdisplayable_resource_id%5D=1181&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=604&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D7&secure%5Btoken%5D=1afef177bb66396c462107041bb98c5d202c4197d3e66b02c957907b3d37737e&secure%5Burl%5D=https%3A%2F%2Fwww.domo.com%2Fsolution%2Fai-transform%3Futm_source%3DG2Crowd%26utm_medium%3Ddisplay%26utm_campaign%3DPortalSite_Category_ETL_FY27_NAM%26campid%3D701Vu00002CQHjpIAH&secure%5Burl_type%5D=custom_url) --- ## 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:** 758 **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 value the **AI features and robust data security** of Databricks, enhancing usability and integration in big data processes. - Users find Databricks to have exceptional **ease of use** , facilitating efficient model hosting and data management. - Users value the **seamless integrations** of Databricks with AWS and Azure, enhancing real-time collaboration and analytics. - Users value the **collaborative environment** in Databricks, enabling real-time teamwork among data engineers and analysts. - Users appreciate the **easy integrations** of Databricks, seamlessly connecting with cloud infrastructure and enhancing data management. **Cons:** - Users find the **steep learning curve** challenging, complicating organizational adoption and initial usage of Databricks. - Users find the **costs for Databricks to be high** , especially when working with large datasets and complex operations. - Users note a **steep learning curve** for Databricks, posing challenges for new users and organizational adoption. - Users find the **complexity** of Databricks challenging, especially with steep learning curves and vague error identification. - Users face **unintuitive UI issues** that lead to random errors and complicate the experience for non-technical users. #### Key Features - Cloud - Data Lake - Spark Integration - Spark Integration - Workload Processing #### What Are Recent G2 Reviews of Databricks? **"[All-in-One Delta Lake Platform That Makes ETL Fast and Cost-Efficient](https://www.g2.com/survey_responses/databricks-review-12878359)"** **Rating:** 5.0/5.0 stars *— Kavipriya S.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12878359) --- **"[Databricks in my case: Multiple Integrations, Intuitive UI, and Reliable Performance](https://www.g2.com/survey_responses/databricks-review-12834055)"** **Rating:** 4.0/5.0 stars *— Yelnur K.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12834055) --- #### 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. [Alteryx](https://www.g2.com/products/alteryx/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 773 **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, making technology accessible and efficient for everyone. - Users commend Alteryx for its **automation capabilities** , enhancing speed and efficiency in data preparation and analysis. - Users appreciate the **intuitive interface** of Alteryx, which simplifies data management and enhances workflow efficiency. - Users find Alteryx to be **easy to learn and use** , with intuitive tools and supportive community for assistance. - Users value the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows for enhanced productivity. **Cons:** - Users find the **high cost** of Alteryx challenging, particularly for small teams and startups. - Users experience a **steep learning curve** with Alteryx, requiring time to master its advanced features and operations. - Users find the **missing features** of Alteryx limiting, particularly the lack of connectors and data drill-down capabilities. - Users find the **learning difficulty** in Alteryx can be overwhelming initially, especially with troubleshooting and tool names. - Users report **slow performance** with Alteryx when handling large datasets, which impacts efficiency and productivity. #### 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) --- ### 3. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,147 **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, making complex data management effortless and efficient. - Users value the **incredible speed** of Google Cloud BigQuery, enabling efficient handling of large datasets effortlessly. - Users appreciate the **seamless integrations** with Google Cloud tools, enhancing efficiency and analytics capabilities. - Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, enabling efficient analysis of large datasets effortlessly. - Users value the **query efficiency** of Google Cloud BigQuery, allowing effortless processing of complex datasets seamlessly. **Cons:** - Users find that **cost management can be challenging** with Google Cloud BigQuery, leading to potentially high expenses. - Users struggle with **query issues** , particularly regarding cost management and the need for better alert systems for heavy queries. - Users find **cost management challenging** due to pricing per TB scanned and poorly optimized queries. - Users face **cost issues** with Google Cloud BigQuery, particularly due to expensive pricing and poorly optimized queries. - Users find the **learning curve steep** for Google Cloud BigQuery, especially around partitioning and clustering, causing confusion. #### Key Features - Data Mining - Report Generation - Campaign Stickiness - Data Lake - Machine Scaling #### What Are Recent G2 Reviews of Google Cloud BigQuery? **"[Fast, Scalable Serverless Analytics and data mining with Google bigquery](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204)"** **Rating:** 4.0/5.0 stars *— Tanishka J.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204) --- **"[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 ### 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 commend the **ease of use** of IBM StreamSets, appreciating its intuitive interface and quick data pipeline creation. - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency. - Users appreciate the **effective data pipeline creation and monitoring** capabilities of IBM StreamSets across hybrid and multi-cloud environments. - Users appreciate the **simplicity and intuitiveness** of IBM StreamSets, making data integration workflows accessible to everyone. - Users appreciate the **seamless integrations** of IBM StreamSets, enhancing real-time data handling and efficiency across platforms. **Cons:** - Users struggle with a **steep learning curve** , requiring deep technical knowledge and often finding the interface cluttered. - Users find IBM StreamSets **expensive** for smaller teams, with performance issues and slow support complicating usability. - Users find that **learning difficulty** can hinder onboarding new engineers, especially with advanced features and unclear documentation. - Users report **slow performance** when processing large data volumes, impacting efficiency and usability for complex tasks. - Users struggle with the **steep learning curve** of IBM StreamSets, especially for advanced features and complex configurations. #### Key Features - Data Processing - Dasboard visualizations - Data Structuring - Reporting - Data Integration #### What Are Recent G2 Reviews of IBM StreamSets? **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) ### 5. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 95 **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 **effective data integration capabilities** of Azure Data Factory, streamlining complex workflows effortlessly. - Users appreciate the **ease of use** of Azure Data Factory, simplifying complex data integration and pipeline creation. - Users value the **scalability** of Azure Data Factory, enabling effortless management of complex data workflows across various sources. - Users appreciate the **seamless connectivity** of Azure Data Factory, enabling easy integration of multiple data sources effortlessly. - Users value the **seamless integration** capabilities of Azure Data Factory, simplifying large-scale data orchestration and management. **Cons:** - Users find the **debugging difficulty** in Azure Data Factory frustrating, especially with complex workflows and limited troubleshooting tools. - Users find **difficult debugging** in Azure Data Factory frustrating, especially with complex pipelines and limited troubleshooting tools. - Users find the **complexity of Azure Data Factory** overwhelming, particularly when debugging pipelines and managing intricate workflows. - Users report that **ADE's complexity** often leads to frustration, particularly when debugging and managing intricate workflows. - Users find Azure Data Factory **expensive** to manage, especially when pipeline usage and data volumes increase costs significantly. #### 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. [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 value the **ease of use** of Domo, making data management accessible for everyone, even non-tech-savvy individuals. - Users value the **flexible dashboards** in Domo, enabling seamless data visualization and integration from multiple sources. - Users praise Domo for its **intuitive design** , allowing easy access and effective data visualization for all skill levels. - Users value the **easy integrations** in Domo, enabling seamless connections with various data sources for streamlined management. - Users value the **seamless integration** of Domo, enabling efficient data management and real-time collaboration across platforms. **Cons:** - Users find the **learning curve steep** , often needing extra time to adapt to Domo's updates and functionalities. - Users note **missing features** in Domo, such as limited visualization capabilities and outdated MySQL implementation affecting usability. - Users are frustrated with **data management issues** , including complicated uploads and poor organization of datasets in Domo. - Users find Domo **expensive** due to ongoing costs and complexity of using multiple features and external support. - Users find Domo's **complexity** overwhelming, often requiring technical expertise and extended setup time to be effective. #### 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) ### 7. [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 159 **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 value the **ease of use** of IBM watsonx.data, appreciating its unified platform for simplifying data analytics. - Users appreciate the **fast and easy data management** with IBM watsonx.data, enhancing productivity across various data sources. - Users appreciate the **flexibility and AI readiness** of IBM watsonx.data, enhancing data management across hybrid environments. - Users value the **seamless integration** of IBM watsonx.data with other IBM tools, enhancing their workflow efficiency. - Users value the **unified lakehouse feature** of IBM watsonx.data for simplifying analytics and optimizing data management. **Cons:** - Users face a **steep learning curve** with watsonx.data, as setup and feature navigation can be quite complex. - Users find the **complexity** of IBM watsonx.data challenging, especially for those new to the software. - Users find the **pricing is a bit high** for small teams, making it hard to justify investment. - Users experience **difficult setup** with IBM watsonx.data, finding the onboarding process complex and documentation confusing. - Users often experience **difficulty** with documentation and navigation, making the platform less beginner-friendly and accessible. #### Key Features - Real-Time Data Collection - Hadoop Integration - Machine Scaling - Cloud Processing - Data Querying #### What Are Recent G2 Reviews of IBM watsonx.data? **"[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202) --- **"[Unified Data Management with Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)"** **Rating:** 5.0/5.0 stars *— Anchal P.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742) --- ### 8. [AWS Glue](https://www.g2.com/products/aws-glue/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 194 **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 commend the **ease of use** of AWS Glue, making data transformation and analytics straightforward and efficient. - Users value the **seamless data integration** of AWS Glue, enhancing their analytics, machine learning, and application development processes. - Users value the **fully managed ETL service** of AWS Glue for its seamless integration and cost optimization. - Users appreciate the **versatile functionality** of AWS Glue, praising its ease in data preparation and job execution. - Users find AWS Glue **easy to implement and effective for ETL operations** , enhancing data integration and accessibility. **Cons:** - Users experience **slow performance** with AWS Glue due to lengthy startup times and complex debugging processes. - Users face **debugging difficulties** with AWS Glue due to unclear error messages, complicating the troubleshooting process. - Users find **difficult debugging** with AWS Glue due to unclear error messages and complex processes that hinder efficient troubleshooting. - Users experience **performance issues** with AWS Glue, including slow start-up times and complex debugging processes. - Users find the **time-consuming startup and debugging** processes of AWS Glue to be a significant drawback. #### What Are Recent G2 Reviews of AWS Glue? **"[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) --- **"[Serverless ETL Made Easy with AWS Glue](https://www.g2.com/survey_responses/aws-glue-review-12864874)"** **Rating:** 5.0/5.0 stars *— mani s.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12864874) --- #### 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 ### 9. [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 371 **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 appreciate the **ease of use** of SnapLogic IIP, enabling quick connections and straightforward setup for integrations. - Users value the **easy integrations** of SnapLogic, enhancing efficiency and simplifying API and database connections. - Users value the **seamless integration** capabilities of SnapLogic IIP, enhancing efficiency across multiple systems. - Users value the **user-friendly interface** of SnapLogic, which simplifies workflows and enhances overall productivity. - Users value the **automation capabilities** of SnapLogic IIP, enhancing efficiency and enabling focus on business value. **Cons:** - Users experience **performance issues** with SnapLogic, especially under heavy workloads and while debugging errors. - Users experience **poor performance** during heavy workloads, leading to inefficiencies and workflow complications in SnapLogic. - Users face **unclear error reporting** that complicates debugging and leads to performance drops in large-scale operations. - Users struggle with **technical difficulties** , particularly in debugging errors and managing performance under heavy workloads. - Users find the **complexity** of choosing appropriate Snaps and troubleshooting errors frustrating and often unclear. #### Key Features - Orchestration - API Monitoring - App Integration - Auditing - Extraction #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **"[Intuitive Drag-and-Drop Pipelines with Reliable Real-Time Sync](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12873225)"** **Rating:** 5.0/5.0 stars *— Abhay K.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12873225) --- **"[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) --- #### 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 ### 10. [Workato](https://www.g2.com/products/workato/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 727 **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 interface to be **user-friendly and intuitive** , making both simple and complex tasks easy to manage. - Users value the **easy integrations** of Workato, enabling quick automation and significant time savings across various tools. - Users value the **seamless integrations** of Workato, making automation across systems effortless and efficient. - Users value the **low code, user-friendly interface** of Workato, making automation and integrations straightforward and efficient. - Users value the **seamless automation capabilities** of Workato, simplifying complex workflows across multiple systems effortlessly. **Cons:** - Users often find the **complexity** of Workato's terminology and documentation overwhelming, hindering their onboarding experience. - Users experience a **steep learning curve** with Workato, requiring time and practice to master recipe creation. - Users encounter **data limitations** with Workato, particularly with unclear recipe errors and outdated documentation. - Users note the **missing features** in Workato, particularly for ETL tasks and documentation updates, impacting usability. - Users find a **steep learning curve** with Workato, as mastering its features and creating recipes can be challenging. #### Key Features - API Testing - Traffic Control - App Integration - White Labelled - Low-Code #### What Are Recent G2 Reviews of Workato? **"[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) --- **"[Effortless Integration with workato Support](https://www.g2.com/survey_responses/workato-review-12805302)"** **Rating:** 4.5/5.0 stars *— Lokesh k.* [Read full review](https://www.g2.com/survey_responses/workato-review-12805302) --- #### 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 ### 11. [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 appreciate the **ease of use** of Celigo, highlighting its user-friendly interface and efficient connection options. - Users value the **robust integration capabilities** of Celigo, enhancing connectivity and simplifying complex processes. - Users find Celigo's **integration capabilities** comprehensive and user-friendly, enabling efficient connections with diverse partners. - Users praise the **easy integrations** offered by Celigo, especially with prebuilt connectors and excellent support for NetSuite. - Users value the **responsive and helpful customer support** of Celigo, enhancing their overall experience with the product. **Cons:** - Users struggle with **unclear error handling** , making it challenging to resolve issues and navigate the system effectively. - Users highlight the **high cost** of Celigo, as even basic tiers may be unaffordable for small businesses. - Users experience a challenging **learning curve** with Celigo, hindering their ability to resolve issues independently. - Users express frustration with the **complexity of the system** , highlighting challenges in debugging and filtering data effectively. - Users express concerns over **premium pricing** for Celigo, especially with additional managed connectors and modules costs. #### 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) ### 12. [Fivetran](https://www.g2.com/products/fivetran/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 777 **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, finding it simple to send and synchronize data seamlessly. - Users praise the **easy setup** of Fivetran, enjoying quick integration and seamless use with existing applications. - Users praise the **easy integration** of Fivetran, allowing seamless data transfers to various applications effortlessly. - Users commend the **efficient customer support** of Fivetran, noting their fast responses and helpful insights. - Users appreciate the **simple and intuitive UI** of Fivetran, which enhances data management efficiency without extensive coding. **Cons:** - Users report **sync issues** with Fivetran, including delays and failures that undermine confidence in the tool's reliability. - Users find Fivetran's pricing to be **expensive** , especially as data usage and needs grow over time. - Users experience **integration issues** with Fivetran, including difficulties connecting to various platforms and limited connector options. - Users find the **learning curve steep** due to constant changes and confusing onboarding processes impacting usability. - Users express concerns over **pricing issues** , especially regarding transparency and unexpected charges impacting their budgets. #### 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 **user-friendly interface** of Boomi Data Integration, making it easy to learn and implement. - Users praise the **excellent customer support** of Boomi Data Integration, offering timely assistance during implementation and beyond. - Users appreciate the **wide range of connectors** in Boomi Data Integration, simplifying data management across multiple platforms. - Users value the **automation capabilities** of Boomi Data Integration, enhancing efficiency in ETL processes and scheduling tasks. - Users find **implementation easy** with Boomi Data Integration, benefiting from excellent support and user-friendly features. **Cons:** - Users face **data limitations** when connecting to sources, often struggling with missing documentation and unavailable fields. - Users face **information deficiency** with Boomi Data Integration, often struggling due to missing documentation and unavailable report fields. - Users often face **insufficient information** when connecting to data sources, complicating the integration process and requiring alternative solutions. - Users find Boomi Data Integration **lacking necessary features** , as documentation is often missing or fields are insufficient. - Users face **limited features** with Boomi Data Integration, as not all needed fields or documentation are consistently available. #### 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:** 133 **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 find the **ease of use** of FME Platform exceptional, enabling efficient workflows for both beginners and experts. - Users find the **ease of data management** in FME Platform impressive, benefiting from its speed and versatility. - Users appreciate the **automation capabilities** of FME Platform, significantly enhancing workflow efficiency and reducing manual efforts. - Users value the **intuitive ease of use** and extensive data support of FME Platform, enhancing their workflow efficiency. - Users value the **flexibility and ease of use** of FME Platform for seamless data transformation and integration. **Cons:** - Users find the **complexity of operational overhead** in FME Platform frustrating, particularly with authentication and logging challenges. - Users find the software to be **expensive** , which may deter those with limited budgets from utilizing it. - Users struggle with a **steep learning curve** in the FME Platform, finding the interface and tools overwhelming at first. - Users note a **difficult learning curve** with FME Platform, especially when fine-tuning tools and settings. - Users are concerned about the **high pricing model** , which limits access for smaller teams and individual users. #### Key Features - Reporting - Extraction - Real-Time Integration #### What Are Recent G2 Reviews of FME Platform? **"[FME Saves Time with Powerful GIS ETL and Automation](https://www.g2.com/survey_responses/fme-platform-review-12863747)"** **Rating:** 4.5/5.0 stars *— Denise G.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12863747) --- **"[Reliable Enablement Platform for Learning, APIs, and Secure Workflows](https://www.g2.com/survey_responses/fme-platform-review-12832718)"** **Rating:** 4.5/5.0 stars *— Drew M.* [Read full review](https://www.g2.com/survey_responses/fme-platform-review-12832718) --- #### 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:** 82 **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, greatly simplifying ETL processes without manual coding. - Users appreciate the **effective data integration** capabilities of Informatica PowerCenter, seamlessly connecting diverse data sources for comprehensive solutions. - Users appreciate the **easy-to-use interface** of Informatica PowerCenter, simplifying ETL processes with drag-and-drop functionality. - Users value the **easy-to-use interface** of Informatica PowerCenter, which simplifies data management and automates ETL processes. - Users appreciate the **intuitive drag-and-drop feature** of Informatica PowerCenter, which simplifies ETL processes and enhances usability. **Cons:** - Users find Informatica PowerCenter **expensive** due to high licensing and maintenance costs, making it challenging for small businesses. - Users experience **integration issues** with cloud services and complex environments, complicating setup and scalability for Informatica PowerCenter. - Users face challenges with **cloud dependency** , limiting integration and scalability compared to modern cloud-native solutions. - Users find the **complexity** in accessing workflow parameters cumbersome, requiring multiple steps to locate essential settings. - Users face **complex management challenges** with Informatica PowerCenter due to resource demands and integration limitations. #### 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:** 205 **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 appreciate the **ease of use** of dbt, enjoying its user-friendly interface and seamless integration for data transformation. - Users value the **clean, structured approach** of dbt, enhancing collaboration and efficiency in data analytics workflows. - Users value dbt's **automation capabilities** , which enhance data reliability and streamline analytics workflows effectively. - Users value the **clean and organized transformation process** dbt offers, enhancing collaboration and ensuring reliable data accuracy. - Users value the **enhanced data quality** in dbt, benefiting from reliability, transparency, and streamlined development processes. **Cons:** - Users experience a **lack of flexibility** in dbt, causing frustrations with model errors and disrupting work efficiency. - Users experience **dependency issues** with dbt, causing confusion and delays when managing project complexities and errors. - Users note a **steep learning curve** with dbt, making initial setup and complex projects challenging to navigate. - Users find **error messages vague** , making it difficult to identify issues and hindering the debugging process. - Users find the **error messages vague** , making it difficult to diagnose 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. [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 appreciate ILUM's **ease of use** , finding it intuitive and efficient for managing data and Spark workloads. - Users value ILUM's **seamless integration and user-friendly interface** , enhancing productivity and simplifying data management significantly. - Users appreciate the **outstanding integrations** of ILUM, simplifying connectivity and enhancing workflow efficiency across platforms. - Users highlight the **easy setup** of ILUM, taking just one day to deploy and integrate smoothly. - Users love the **easy integrations** of ILUM, simplifying data management and enhancing the overall workflow efficiency. **Cons:** - Users note a **complex setup** process for ILUM, requiring documentation and experimentation for optimal configuration. - Users find the **difficult setup** of ILUM requires experimentation and deeper understanding to optimize performance effectively. - Users find the **learning curve steep** with ILUM, especially for advanced configurations and automated workflows. - Users find some aspects of ILUM’s interface **not intuitive and difficult to navigate** , especially for advanced configurations. - Users find ILUM's **complexity in advanced configurations** and initial setup can be challenging and may require additional support. #### 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) --- ### 18. [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 find Clarisights to be **intuitive and easy to use** , significantly enhancing reporting and analytics efficiency. - Users commend Clarisights for its **efficient reporting and intuitive dashboards** , streamlining data analysis across multiple countries. - Users find Clarisights **intuitive and easy to use** , streamlining analytics and reporting across multiple channels effectively. - Users appreciate the **efficient reporting capabilities** of Clarisights, enabling deep performance analysis and quick insights. - Users value the **single analytics platform** of Clarisights, improving collaboration and making data-driven decisions effortless. **Cons:** - Users report **integration issues** with Clarisights, especially regarding campaign renaming and lack of direct DV360 integration. - Users note a **slight learning curve** with Clarisights, especially for spreadsheet-heavy users, but find onboarding supportive. - Users face **technical issues when renaming campaigns** , making the process frustrating despite good support from accountants. - Users find the lack of **search term-level data** hinders deeper insights and granular performance analysis. - Users find the **lack of customization** in Clarisights limits deeper insights and granular analysis capabilities. #### 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) --- ### 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 appreciate the **ease of use** of Informatica Cloud Data Integration, benefiting from its user-friendly interface and drag-and-drop features. - Users value the **efficiency** of Informatica Cloud Data Integration, enjoying seamless data transfers and powerful transformations. - Users value the **robust connectivity** of Informatica Cloud Data Integration, simplifying ETL tasks with its extensive tools. - Users value the **time-saving features** of Informatica Cloud Data Integration, benefiting from easy access and efficiency. - Users enjoy the **automation features** of Informatica Cloud Data Integration, enhancing efficiency and streamlining data workflows. **Cons:** - Users find the **initial setup and configuration complex** , which complicates their experience, especially for newcomers. - Users find the **complex usability** of Informatica Cloud Data Integration challenging, especially during setup and troubleshooting processes. - Users find **debugging difficult** , facing challenges in monitoring jobs and optimizing performance effectively. - Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers to the platform. - Users often face **weird error messages** in Informatica Cloud Data Integration, which complicate their mapping work. #### 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** of Frends, enjoying its visual BPMN approach and simple integrations. - Users appreciate the **visual BPMN approach** in Frends for its clarity and ease when collaborating with stakeholders. - Users appreciate the **easy integrations** with Frends, making both simple and complex tasks accessible for everyone. - Users value the **easy-to-understand integration architecture** of Frends, facilitating smooth integration across complex scenarios. - Users appreciate the **easy integration capabilities** of Frends, simplifying complex processes for both technical and non-technical users. **Cons:** - Users note the **missing visual mapping tools** and find some components and monitoring tools difficult to use. - Users find **UX improvements necessary** in Frends, citing issues with documentation, GUI restrictions, and environment variable management. - Users find the **limited features** of Frends cumbersome, negatively impacting the overall development experience and usability. - Users find **difficult learning** curves in Frends, struggling with confusing processes and vague explanations, especially for complex integrations. - Users find **integration issues** in Frends challenging, complicating complex mapping and debugging processes significantly. #### 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. [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) ### 22. [Adverity](https://www.g2.com/products/adverity/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 258 **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** , appreciating its seamless integration and wide range of pre-built connectors. - Users value the **wide range of pre-built integrations** in Adverity, facilitating smooth connections to various data sources. - Users appreciate the **centralization and standardization of data** , making management from multiple sources seamless and efficient. - Users appreciate the **easy integrations** offered by Adverity, allowing seamless connection of various data sources without coding. - Users highlight the **responsive customer support** of Adverity, providing solutions and assistance promptly even during setup. **Cons:** - Users find the **time-consuming nature** of Adverity's data pipelines frustrating, especially during automated runs and job creation. - Users face challenges with **data management issues** that complicate tracking mistakes and necessitate higher maintenance efforts. - Users find the **difficult learning** curve of Adverity challenging, impacting initial usability and feature confidence. - Users experience **time delays** in data pipelines, affecting reporting and confidence in scalability for large jobs. - Users note several **feature limitations** in Adverity, impacting data environments, metrics availability, and UI flexibility. #### What Are Recent G2 Reviews of Adverity? **"[Adverity’s Flexible Dashboards and Powerful Multi-Source Analytics](https://www.g2.com/survey_responses/adverity-review-12834123)"** **Rating:** 4.5/5.0 stars *— Franziska K.* [Read full review](https://www.g2.com/survey_responses/adverity-review-12834123) --- **"[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) --- #### What Are G2 Users Discussing About Adverity? - [What is Adverity used for?](https://www.g2.com/discussions/what-is-adverity-used-for) - 1 comment ### 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** exceptional, thanks to its intuitive UI and effective learning resources. - Users appreciate the **automation features** of Matillion, enhancing efficiency through seamless integration and user-friendly tools. - Users appreciate Matillion's **simple UI** , which facilitates easy configuration and understanding of workflows, even for beginners. - Users appreciate Matillion's **intuitive UI** for simplifying complex tasks, making it accessible even for beginners. - Users value the **extensive built-in connectors** of Matillion, enabling seamless integration with numerous systems and data warehouses. **Cons:** - Users find **feature limitations** in Matillion, affecting job performance and complicating template reusability. - Users face **job performance issues** due to the Jython interpreter and single-thread workflow limitations in Matillion. - Users find **cloud dependency** cumbersome, facing challenges with costs, limited customization, and maintenance needs. - Users find Matillion to be **expensive** , especially as data volume increases and management is required to control costs. - Users note **API limitations** in Matillion, especially regarding insufficient administrative access and challenges with component functionality. #### 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 praise Singular for its **exceptional customer support** , noting fast responses and effective problem resolution. - Users appreciate the **ease of use** of Singular, highlighting its clear dashboards and straightforward onboarding process. - Users find Singular's support **exceptionally helpful** , providing timely assistance and tailored solutions for various challenges. - Users appreciate the **flexibility and transparency** of Singular for efficient data analysis and decision-making. - Users praise the **responsive and professional customer support** of Singular, enhancing overall experience and usability. **Cons:** - Users experience **poor interface design** , finding some workflows and UI elements unintuitive and in need of improvement. - Users note the **poor UI** in Singular, requiring extra support and impacting overall user experience. - Users express a need for **UI design improvements** and enhanced data loading speed for a better experience. - Users express concerns over **limited attribution capabilities** affecting conversion tracking accuracy and performance analysis for campaigns. - Users express concern over **data limitations** with Singular, impacting attribution accuracy and complicating performance analysis. #### What Are Recent G2 Reviews of Singular? **"[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) --- **"[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) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ### 25. [Skyvia](https://www.g2.com/products/skyvia/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 319 **Why buyers love it?:** Skyvia’s reviews gave me a clear view of a no-code data movement tool for CRM, databases, spreadsheets, and reporting systems. Reviewers highlight automated sync, scheduling, Salesforce backup and restore, connector breadth, and reduced manual transfers. I found its best fit in operational data workflows where consistency across business systems matters more than heavy engineering customization. Advanced mapping, job debugging, and setup guidance also come up as areas that can require extra attention. ### What Do G2 Reviewers Say About Skyvia? *AI-generated summary from verified user reviews* **Pros:** - Users find Skyvia to have **exceptional ease of use** , allowing seamless integration and efficient workflow automation. - Users value the **easy integrations** of Skyvia, simplifying data operations and enhancing efficiency across systems. - Users commend Skyvia for its **easy setup** , enabling quick integration and empowering teams to focus on insights. - Users find the **initial setup extremely easy** , enabling teams to swiftly start integrating data without hassle. - Users value Skyvia's **real-time data management and automation** , enhancing visibility and saving time on manual tasks. **Cons:** - Users desire more **step-by-step examples** in Skyvia's documentation for smoother onboarding and better understanding. - Users find the **difficult setup** process with Skyvia to be time-consuming and less intuitive, especially for large datasets. - Users find the **learning curve steep** , particularly for complex setups and lacking guided examples and documentation. - Users find the **poor documentation** of Skyvia lacking practical examples, hindering advanced reporting and setup effectiveness. - Users find the **setup difficulty** of Skyvia challenging, especially with large datasets and a dated interface. #### Key Features - Diverse Extraction Points - Auditing - Service Provision - Real-Time Integration - Data Mapping #### What Are Recent G2 Reviews of Skyvia? **"[Easy, No-Code Data Sync Setup with Straightforward Pricing](https://www.g2.com/survey_responses/skyvia-review-12828558)"** **Rating:** 5.0/5.0 stars *— Emily C.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-12828558) --- **"[Straightforward, Reliable Data Sync Between Cloud Apps and Databases](https://www.g2.com/survey_responses/skyvia-review-12843850)"** **Rating:** 5.0/5.0 stars *— Marcus W.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-12843850) --- #### What Are G2 Users Discussing About Skyvia? - [What is Skyvia used for?](https://www.g2.com/discussions/what-is-skyvia-used-for) - 1 comment ## 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