# 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 (Jun 2026) - **Average Rating**: 4.55/5 (↑0.02 vs May 2026) The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 394 - **Buyer Segments**: Mid-Market 45% │ Small-Business 28% │ Enterprise 27% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: Datacoves (+0.015) - Among all products in this category, Datacoves recorded the largest rating increase compared to last month *Last updated: June 01, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,200+ 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 (772 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Databricks in my case: Multiple Integrations, Intuitive UI, and Reliable Performance](https://www.g2.com/survey_responses/databricks-review-12834055)" | | 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 | "[BigQuery Delivers Fast, Intuitive Analytics with Seamless Integrations](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12575892)" | | 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 (777 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 (129 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** ### CData Sync Unlike volume-based tools with unpredictable pricing, CData Sync offers a single platform for ETL and reverse ETL, with full deployment flexibility and fixed, scalable pricing—so your costs don’t balloon as your data grows. Connect to 250+ enterprise data sources, including: • Salesforce, Microsoft Dynamics, and SAP • SharePoint, NetSuite, Workday, and QuickBooks • ServiceNow, Xero, Sage Intacct, HubSpot, Marketo, Oracle • …and many more Replicate that data into your preferred destinations, such as: • Snowflake, Databricks, SQL Server, Redshift, OneLake, and others Deploy it your way—on-premises, in your own cloud, or in a private-cloud SaaS model. Getting started is simple: 1. Log in 2. Select your source tables 3.Set your sync interval CData Sync handles the rest, using efficient incremental updates that minimize load on your operational systems. The platform includes: • Point-and-click ETL/ELT/reverse ETL • Change Data Capture (CDC) with no elevated database permissions • Complete data control and custom SQL transformations • dbt integration CData Sync centralizes your automated data flows, giving you full control, faster delivery, and the freedom to scale without hidden fees. Download a 30-day free trial of CData Sync or learn more at: www.cdata.com/sync [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=124922&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D6&secure%5Btoken%5D=462f164fe65cbbe9efaeb138feb239616c7a4fab9560769ab885c7c3d33487ef&secure%5Burl%5D=https%3A%2F%2Fwww.cdata.com%2Fsync%2F&secure%5Burl_type%5D=paid_promos) --- ## Buyer Guide: Key Questions for Choosing ETL Tools Software ### What do ETL tools do? When I explain ETL tools, I frame them as systems that help businesses move and prepare data across applications, databases, files, APIs, and cloud platforms. These platforms bring extraction, transformation, mapping, syncing, and loading into one workflow, so teams can support reporting, automation, analytics, and operations with cleaner data. Instead of moving data manually or building every connection from scratch, teams can create more reliable data flows with less integration effort. ### Why do businesses use ETL tools? From the G2 reviewer patterns I evaluated, businesses use ETL tools because disconnected systems create repetitive work, data gaps, and slow reporting. Users often mention the need to connect ERP, CRM, e-commerce, warehouse, finance, and analytics environments without manual exports. Common benefits include: - Less manual data entry and fewer spreadsheet workarounds. - Faster data movement between applications and reporting tools. - More reliable syncs across operations, finance, sales, and customer systems. - Clearer automation for repeatable workflows. - Better support for analytics, dashboards, and decisions. ### Who uses ETL tools primarily? After I evaluated G2 reviewer roles and job context, I found that ETL tools serve technical and business-facing teams: - **Administrators** manage integrations, monitor flows, and keep systems aligned. - **Data and analytics teams** prepare datasets, pipelines, warehouses, and reports. - **IT teams** connect applications, APIs, and cloud platforms. - **Operations teams** reduce manual order, inventory, finance, and customer work. - **Consultants** build integrations for client environments. ### What types of ETL tools should I consider? From the review themes I evaluated, buyers should compare several tool types: - **Application integration platforms** for business app connections and workflow automation. - **Data pipeline and warehouse tools** for scale, transformation logic, and analytics readiness. - **Low-code integration tools** for faster setup and visual flow design. - **Developer-oriented platforms** for APIs, custom logic, and complex environments. - **Cloud data platforms** for processing, governance, and analytics use cases. - **Specialized connector tools** when common systems must sync quickly. ### What are the core features to look for in ETL tools? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Prebuilt connectors for common business systems that help reduce integration build time. - API support for custom integrations that help teams connect systems beyond native connector coverage. - Mapping and transformation controls that help teams clean, shape, and prepare data without relying on custom code for every change. - Workflow automation and scheduling that help pipelines run reliably on a repeatable cadence. - Monitoring, alerts, and error handling that help teams catch pipeline issues before they affect reporting, analytics, or downstream systems. - Clear setup and admin controls that help reduce dependency on specialized engineering resources. - Documentation and support resources that help teams onboard faster and troubleshoot integration issues. - Scalability for larger data volumes and complex pipeline architectures that help the platform support growing data needs over time. ### What trends are shaping ETL tools right now? Based on the reviewer sentiment I evaluated, several patterns stood out: - **Setup simplicity is advancing** without sacrificing depth or configurability. - **Low-code development** is shortening pipeline build times for non-engineering teams. - **Cloud-first architecture** is becoming the default as on-premise needs narrow to regulated use cases. - **AI-assisted workflow logic** is raising the bar for what teams expect from automation. - **Data quality and observability** are maturing into core pipeline requirements rather than afterthoughts. - **Cross-system integration coverage** is expanding as analytics, ERP, e-commerce, and finance ecosystems converge. ### How should I choose ETL tools? For me, the strongest ETL tools match your data sources, team depth, and maintenance needs. The G2 feedback I evaluated points to a clear decision path: prioritize connector fit, setup effort, transformation control, monitoring quality, support, and scale. If reviewers praise usability yet also cite learning curve, documentation, or pricing concerns, test onboarding and long-term administration before you commit. --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 772 **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 praise the **ease of use and numerous features** of Databricks, enhancing their data processing and machine learning tasks. - Users praise the **ease of use** of Databricks, enhancing their overall experience with its intuitive interface. - Users appreciate the **seamless integrations** of Databricks, enhancing real-time processing and supporting various development languages. - Users value the **seamless collaboration** Databricks offers, enhancing teamwork on data projects with real-time insights. - Users value the **integrated analytical features** of Databricks, enhancing operations and providing comprehensive insights on technology. **Cons:** - Users note a significant **learning curve** with Databricks, particularly due to its complex permissions and compute modes. - Users find Databricks to be **expensive** , especially when handling large data, limiting its accessibility for some customers. - Users find the **steep learning curve** of Databricks challenging, particularly for those new to big data tools. - Users find the **complexity** of Databricks challenging, especially with advanced features and initial setup requirements. - Users experience a **complex setup** process initially, but support helps to simplify the experience over time. #### Key Features - Cloud - Data Lake - Spark Integration - Spark Integration - Workload Processing #### What Are Recent G2 Reviews of Databricks? **"[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) --- **"[Lakebase - Good Option for Low Latency Data Serving with Databricks Integration](https://www.g2.com/survey_responses/databricks-review-12542177)"** **Rating:** 4.5/5.0 stars *— Senthil K.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12542177) --- #### 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:** 777 **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** in Alteryx, making data analytics accessible for everyone through simple drag and drop. - Users appreciate the **automation capabilities** of Alteryx, simplifying data processes and enhancing analytical efficiency. - Users find Alteryx **very intuitive** , making it easy for non-technical individuals to learn and use effectively. - Users find that Alteryx makes **learning technology easy** , thanks to its intuitive design and supportive community. - Users value the **efficiency** of Alteryx in managing data quickly and effortlessly, streamlining analysis processes effectively. **Cons:** - Users find Alteryx's **expensive pricing** challenging for small teams and startups, making widespread access difficult. - Users note a **learning curve** for mastering complex features, requiring time and effort to fully leverage Alteryx. - Users find the lack of **integrated reporting features** in Alteryx requires additional tools for a complete solution. - Users find the **learning difficulty** of Alteryx steep, making it challenging for new users to adapt quickly. - Users find that **slow performance** hinders the analysis of large workflows, causing frustration during data processing. #### 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, enabling fast data analysis with minimal management effort. - Users appreciate the **high speed** of BigQuery, enjoying quick query processing and seamless integration with Google Cloud services. - Users appreciate the **easy integration with Google Cloud services** , enhancing workflow and analytics across platforms. - Users value the **fast querying** capabilities of Google Cloud BigQuery, enabling seamless analysis of large datasets effortlessly. - Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed. **Cons:** - Users find BigQuery **expensive** , especially when executing large or inefficient queries, leading to quickly escalating costs. - Users experience **query issues** in BigQuery, often struggling with cost management and complex SQL troubleshooting. - Users face **unpredictable pricing** with Google Cloud BigQuery, leading to high bills and the need for strict budget controls. - Users express concerns about **cost issues** due to rapid bill spikes and the need for strict budget management. - Users find the **steep learning curve** for Google Cloud BigQuery challenging, especially for beginners and advanced features. #### Key Features - Data Mining - Report Generation - Campaign Stickiness - Data Lake - Machine Scaling #### What Are Recent G2 Reviews of Google Cloud BigQuery? **"[BigQuery Delivers Fast, Intuitive Analytics with Seamless Integrations](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12575892)"** **Rating:** 5.0/5.0 stars *— Rakshith N.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12575892) --- **"[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 find IBM StreamSets to be **intuitive with visual design** , simplifying the process of data integration effortlessly. - Users appreciate the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing pipeline visualization and debugging ease. - Users value the **simplicity in data integration** with IBM StreamSets, enjoying its intuitive design and scalability. - Users appreciate the **intuitive visual pipeline design** of IBM StreamSets, simplifying complex data integration workflows effortlessly. - Users appreciate the **wide range of integrations** in IBM StreamSets, enhancing data pipeline management across platforms. **Cons:** - Users face a **steep learning curve** with IBM StreamSets, requiring deep technical knowledge for advanced features. - Users find the **cost and licensing complexity** of IBM StreamSets to be a significant barrier for small teams. - Users find the **learning difficulty** of StreamSets challenging, especially without prior data engineering experience. - Users experience **slow performance** with IBM StreamSets, especially when managing large data volumes or complex pipelines. - Users struggle with the **steep learning curve** , requiring deep technical knowledge for effective use of advanced features. #### Key Features - Data Processing - Dasboard visualizations - Data Structuring - Reporting - Data Integration #### What Are Recent G2 Reviews of IBM StreamSets? **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) ### 5. [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 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 **seamless data integration** capabilities of Azure Data Factory, simplifying complex workflows effortlessly. - Users find Azure Data Factory's **ease of use** invaluable for simplifying data integration and automation processes. - Users value the **scalability** of Azure Data Factory, enabling seamless data integration across various sources effortlessly. - Users appreciate the **ease of use and connectivity** of Azure Data Factory, simplifying data integration across multiple sources. - Users value the **seamless integration** capabilities of Azure Data Factory, simplifying complex data workflows across multiple sources. **Cons:** - Users find **debugging difficult** in Azure Data Factory, facing frustration with complex pipelines and limited troubleshooting tools. - Users find **difficult debugging** with Azure Data Factory frustrating, especially for complex pipelines and lack of intuitive tools. - Users find Azure Data Factory's **complexity** overwhelming, especially regarding debugging, integration, and managing intricate workflows. - Users find **Azure Data Factory's complexity** challenging, especially in debugging and managing intricate workflows effectively. - Users find the **error reporting** in Azure Data Factory unclear, complicating debugging and troubleshooting processes. #### 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 appreciate the **ease of use** of Domo, highlighting its user-friendly interface and intuitive design. - Users value the **flexible dashboards** in Domo, enhancing data visualization and making it user-friendly and efficient. - Users praise Domo for its **intuitive design** , facilitating easy access and effective data management for all users. - Users praise **easy integrations** with Domo, enhancing data management and streamlining workflows across various platforms. - Users love Domo's **seamless integration capabilities** , enabling efficient data management from various sources for informed decision-making. **Cons:** - Users find that the **learning curve is steep** , needing extra attention to keep up with features and updates. - Users highlight the **missing features** in Domo, particularly the lack of flexibility and clarity in functionality. - Users face **data management issues** with Domo, including unreliable connectors and challenges in reporting and licensing. - Users find Domo to be **expensive** , especially with sudden price hikes and a confusing consumption model. - Users find Domo's **complexity** frustrating, citing rigidity and difficulties in making fast changes to datasets. #### 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. [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 appreciate the **ease of use** of AWS Glue, enhancing their experience in data preparation and analytics. - Users appreciate the **s seamless data integration** capabilities of AWS Glue, streamlining analytics and machine learning processes effectively. - Users appreciate the **fully managed ETL service** of AWS Glue, enjoying seamless integration and reduced infrastructure worries. - Users appreciate the **comprehensive functionality** of AWS Glue, finding it essential for data preparation and analytics. - Users find AWS Glue to be **easy to implement** , streamlining their data integration and ETL operations effectively. **Cons:** - Users experience **slow performance** with AWS Glue, especially during job start-up and debugging processes. - Users find **debugging difficult** in AWS Glue due to unclear error messages and a steep learning curve. - Users face **difficult debugging** processes in AWS Glue due to unclear error messages and lengthy startup times. - Users face **performance issues** with AWS Glue, including slow start-up times and complex debugging processes, impacting efficiency. - Users find AWS Glue to have **time-consuming startup and debugging processes** , impacting workflow efficiency. #### 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 ### 8. [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 praise the **ease of use** of IBM watsonx.data, appreciating its unified platform and swift data access. - Users appreciate the **speed and ease of use** of IBM watsonx.data, enhancing their data management and integration capabilities. - Users value the **flexibility and AI readiness** of IBM watsonx.data, enhancing data management across hybrid environments. - Users appreciate the **easy integration with other IBM tools** , enhancing workflow efficiency and simplifying data management. - Users appreciate the **unified lakehouse feature** of IBM watsonx.data, simplifying analytics by consolidating all data in one platform. **Cons:** - Users face a **steep learning curve** with watsonx.data, making setup and feature mastery challenging for newcomers. - Users find the **complexity** of IBM watsonx.data to be a barrier, particularly for beginners needing intuitive guidance. - Users find the **pricing to be high** , making it challenging for small teams and startups to commit. - Users find the **difficult setup** of IBM watsonx.data frustrating, hindering adoption and effective use of the platform. - Users report **difficulty in understanding the documentation** and navigating the platform, especially for beginners. #### 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) --- ### 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 integration without extensive coding requirements. - Users appreciate the **easy integrations** of SnapLogic, which enhance pipeline building and simplify ETL implementation. - Users value the **seamless integrations** of SnapLogic IIP, enhancing efficiency across both cloud and on-prem systems. - Users appreciate the **user-friendly interface** of SnapLogic IIP, which simplifies work and enhances efficiency. - Users value the **automation features** of SnapLogic IIP, streamlining complex integrations and enhancing workflow efficiency. **Cons:** - Users report **performance issues** with slow loading and memory errors, affecting the efficiency of pipeline construction. - Users report **poor performance** during heavy workloads, often facing issues with debugging and memory management. - Users face **unclear error reporting** and frequent performance issues that lead to disrupted workflows and manual fixes. - Users face challenges with **technical difficulties** , including complex debugging and performance issues during integration tasks. - Users find the **debugging complexity** of SnapLogic IIP frustrating, leading to challenges when managing integrations. #### Key Features - Orchestration - API Monitoring - App Integration - Auditing - Extraction #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **"[Improved Data Connectivity with Room for Stability Enhancements](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834)"** **Rating:** 4.0/5.0 stars *— Savio M.* [Read full review](https://www.g2.com/survey_responses/snaplogic-intelligent-integration-platform-iip-review-12375834) --- **"[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) --- #### 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 **ease of use** remarkable, allowing anyone to automate tasks without technical expertise. - Users praise Workato for its **easy integrations** , enabling quick automation between tools without technical expertise. - Users appreciate the **easy and quick integrations** in Workato, enabling efficient automation across various tools. - Users appreciate the **user-friendly and flexible features** of Workato, simplifying automation of complex business processes across systems. - Users love the **ease of use and quick automation** capabilities of Workato, saving time on repetitive tasks. **Cons:** - Users find Workato's **complexity** challenging, particularly with testing quirks and unclear documentation for beginners. - Users find the **learning curve challenging** , with complex workflows and daunting onboarding processes affecting usability. - Users find **data limitations** in Workato restrictive, impacting email capacity and hindering the transfer of large files. - Users find the **missing features** in Workato, requiring manual setups for less common applications and connectors. - Users find the **steep learning curve** of Workato challenging, making onboarding an intense experience for beginners. #### 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 value the **user-friendly interface** of Celigo, which simplifies integration and management across multiple systems. - Users value the **user-friendly and customizable integration capabilities** of Celigo, enhancing their integration experience significantly. - Users value the **integration capabilities** of Celigo, enabling seamless connectivity across diverse APIs effortlessly. - Users value the **easy integrations** of Celigo, facilitating seamless connections with existing systems for enhanced productivity. - Users value the **helpful and thorough customer support** provided by Celigo, enhancing the customization experience. **Cons:** - Users find **error handling challenges** frustrating, as unclear messages and unresolved issues complicate their experience. - Users note the **expensive pricing** of Celigo, particularly with increasing costs for additional flows and connectors. - Users face a challenging **learning curve** with Celigo, requiring time to understand and navigate the platform effectively. - Users find that **Celigo's complexity** can lead to frustration, particularly with vague error messages and challenging debugging processes. - Users express concerns about **premium pricing** and confusing licensing, despite recognizing the overall value of Celigo. #### 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 find Fivetran to be **easy to integrate and maintain** , enhancing their overall experience and ROI. - Users appreciate the **easy setup** of Fivetran, enabling quick integration with existing applications and systems. - Users appreciate the **easy integration** of Fivetran, seamlessly connecting with their existing applications and tools. - Users value the **responsive customer support** of Fivetran, enhancing their experience and ensuring smooth integration. - Users love the **intuitive and simple layout** of Fivetran, making data integration seamless and user-friendly. **Cons:** - Users experience **sync issues** with sporadic failures and complications in managing syncs effectively across environments. - Users feel that Fivetran's **pricing is quite expensive** and wish for more flexible options to enhance accessibility. - Users report facing **integration issues** with Fivetran, particularly around schema ownership and modifying connections. - Users find the **learning curve steep** , requiring technical knowledge to effectively navigate Fivetran's features and functionalities. - Users find Fivetran's **pricing issues** limit accessibility and practicality for utilizing more data sources. #### 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 appreciate the **wonderful customer support** of Boomi Data Integration, ensuring assistance during implementation and beyond. - Users value the **wide range of connectors** in Boomi Data Integration, enabling seamless data management and reporting. - Users value the **automation capabilities** of Boomi Data Integration, streamlining ETL processes and enhancing data utility. - Users value the **implementation ease** of Boomi Data Integration, appreciating seamless onboarding and excellent customer support. **Cons:** - Users face **data limitations** with Boomi Data Integration, experiencing missing documentation and unavailable fields in reports. - Users experience **information deficiency** with Boomi Data Integration, often facing missing documentation and unavailable report fields. - Users face **insufficient information** when connecting data sources, leading to a need for alternative solutions. - Users find the **lack of documentation and missing fields** frustrating, often forcing them to seek alternative solutions. - Users face challenges due to **limited features** , resulting in missing data fields and inadequate documentation from Boomi Data Integration. #### 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:** 129 **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 FME Platform exceptionally **user-friendly** , with a visual interface that simplifies complex data workflows effortlessly. - Users appreciate the **ease of use and impressive data interoperability** of the FME Platform, enhancing their data management experience. - Users value the **automation capabilities** of FME Platform, praising its efficiency and ease of workflow management. - Users highlight the **exceptional processing speed** and flexibility of FME Platform in transforming vast amounts of geospatial data. - Users praise the **flexibility and speed** of FME Platform for rapid data transformation and comprehensive interoperability. **Cons:** - Users find the **complexity of FME Platform** frustrating due to fragmented authentication and cumbersome logging tools. - Users find FME Platform to be **quite expensive** , which may deter potential users with limited budgets. - Users face a **steep learning curve** with FME Platform, making it challenging for non-technical users to adapt. - Users find FME Platform's **complexity makes it difficult to learn** , presenting challenges in navigation and comprehension. - Users find the **pricing issues** frustrating, particularly for smaller teams and individual developers facing growing costs. #### 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 appreciate the **automation capabilities** of Informatica PowerCenter, simplifying ETL processes and reducing manual coding efforts. - Users appreciate the **robust data integration capabilities** of Informatica PowerCenter, making ETL processes more efficient and streamlined. - Users value the **intuitive and user-friendly interface** of Informatica PowerCenter, simplifying ETL processes without manual coding. - Users value the **robust data management capabilities** of Informatica PowerCenter, enhancing efficiency and scalability in ETL processes. - Users appreciate the **drag and drop feature** of Informatica PowerCenter, simplifying workflows and enhancing visualization of processes. **Cons:** - Users highlight the **expensive costs** associated with Informatica PowerCenter, which can burden smaller organizations significantly. - Users experience **integration issues** with Spark and cloud services, complicating the use of Informatica PowerCenter. - Users face **cloud dependency issues** with Informatica PowerCenter, limiting integration with modern cloud infrastructures and scalability. - Users find the **accessing workflow parameters** in Informatica PowerCenter to be complicated and time-consuming. - Users find the **complex management** of Informatica PowerCenter challenging due to its resource-intensive infrastructure and scaling issues. #### 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. [Maia](https://www.g2.com/products/matillion-maia/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 93 **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 Maia? *AI-generated summary from verified user reviews* **Pros:** - Users find Matillion's **ease of use** impressive, facilitating quick integration and understanding of its powerful capabilities. - Users appreciate the **automation features** of Matillion, enhancing project efficiency and streamlining data pipeline management. - Users find Matillion’s **intuitive interface** simplifies complex tasks, making it accessible and efficient for all users. - Users commend Matillion for its **simple and intuitive UI** , making it accessible for beginners to configure and use. - Users value the **user-friendly UI** of Matillion, which simplifies configuration and enhances the learning experience for beginners. **Cons:** - Users face **feature limitations** with Matillion, including job performance issues and a less mature cloud version. - Users face **job performance issues** with Matillion, including hanging jobs and limitations in functionality and workflow. - Users find **cloud dependency** cumbersome, as it leads to increased costs and limited customization options for data handling. - Users find Matillion to be **expensive** , especially with costs accumulating during complex data transformations and cloud usage. - Users face **API limitations** in Matillion, particularly with insufficient administrative APIs and limited data export options. #### What Are Recent G2 Reviews of Maia? **"[Maia saved me hours I didn’t know I was losing.](https://www.g2.com/survey_responses/maia-review-12910795)"** **Rating:** 5.0/5.0 stars *— Swarnim S.* [Read full review](https://www.g2.com/survey_responses/maia-review-12910795) --- **"[Fast, Easy Data Ingestion at Enterprise Scale with Matillion Maia](https://www.g2.com/survey_responses/maia-review-12914498)"** **Rating:** 5.0/5.0 stars *— Jonas K.* [Read full review](https://www.g2.com/survey_responses/maia-review-12914498) --- #### What Are G2 Users Discussing About Maia? - [What is Matillion ETL used for?](https://www.g2.com/discussions/what-is-matillion-etl-used-for) - 1 comment - [What is Matillion Data Loader used for?](https://www.g2.com/discussions/what-is-matillion-data-loader-used-for) - [What are ETL tools used for?](https://www.g2.com/discussions/what-are-etl-tools-used-for) ### 17. [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 value the **ease of use** of dbt, highlighting its intuitive setup and maintainable SQL transformations. - Users value dbt for its **software engineering best practices** , enabling maintainable, scalable, and collaborative SQL-based data transformations. - Users appreciate the **automation capabilities** of dbt, enhancing SQL transformations and streamlining data workflows effectively. - Users find dbt's **data transformation capabilities** essential for organizing, managing, and modeling business-critical data efficiently. - Users value dbt for its **data quality assurance** , enhancing integrity and efficiency in data processes and analytics. **Cons:** - Users experience **limited functionality** in dbt, with minor errors causing significant issues and slowing down project progress. - Users encounter **dependency issues** in dbt, leading to challenging troubleshooting and disrupted workflows amidst model errors. - Users find the **steep learning curve** of mastering Jinja and Git challenging for managing complex transformations in dbt. - Users face **confusing error handling** in dbt, making it hard to troubleshoot issues due to unclear messages. - Users find **error reporting unclear** , making it difficult to identify root causes 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 ### 18. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **Product Description:** Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of integration** with existing systems, enhancing their workflow efficiency in data management and analytics. - Users commend ILUM for its **seamless integration** , user-friendly interface, and exceptional customer support, enhancing their productivity. - Users appreciate the **seamless integration** of ILUM, enhancing workflow efficiency and simplifying data management across platforms. - Users highlight ILUM's **seamless and quick setup** , enabling efficient integration without needing outside consultants. - Users appreciate the **easy integrations** of ILUM, enhancing their existing workflows without cumbersome adjustments or major rewrites. **Cons:** - Users find the **complex setup** of ILUM daunting at first, requiring time for tuning and configuration adjustments. - Users find the **difficult setup** process of ILUM challenging, requiring extra effort for proper configuration and resource tuning. - Users find the **learning curve steep** for advanced features of ILUM, but daily tasks become intuitive with time. - Users find the **UX improvement** needed for deeper settings, as some features can be hard to locate or manage. - Users note that the platform's **complexity** can make advanced configurations and initial setup challenging without thorough documentation. #### What Are Recent G2 Reviews of ILUM? **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- ### 19. [Informatica Cloud Data Integration](https://www.g2.com/products/informatica-cloud-data-integration/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 101 **Product Description:** Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs. ### What Do G2 Reviewers Say About Informatica Cloud Data Integration? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Informatica Cloud Data Integration, thanks to its intuitive interface and drag-and-drop features. - Users value the **efficiency** of Informatica Cloud Data Integration, enabling seamless and scalable data handling with ease. - Users appreciate the **ease of use and extensive connectivity** of Informatica Cloud Data Integration for ETL tasks. - Users benefit from **time-saving access** to Informatica Cloud Data Integration via URL, eliminating installation efforts. - Users praise the **automation and scheduling** features of Informatica Cloud Data Integration for enhancing efficiency in data workflows. **Cons:** - Users find the **complexity** of setup and performance optimization to be challenging, especially for newcomers. - Users find the **complex usability** of Informatica Cloud Data Integration challenging, especially during setup and performance optimization. - Users face **debugging difficulties** in Informatica Cloud Data Integration, often requiring extra effort to resolve issues. - Users find the **difficult setup** of Informatica Cloud Data Integration challenging, especially for newcomers to the platform. - Users face **weird error messages** during mapping, with limited tutorials available to resolve them effectively. #### 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. [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 **very intuitive and easy to use** , significantly enhancing their reporting and analysis efficiency. - Users find Clarisights to be a **highly efficient analytics platform** , simplifying performance analysis and collaboration for SEO teams. - Users find Clarisights to be **intuitive and easy to use** , streamlining complex data analysis and reporting efficiently. - Users value the **efficiency and flexibility** of Clarisights for insightful reporting and performance analysis. - Users appreciate the **single analytics platform** of Clarisights, which simplifies reporting and enhances collaboration and testing. **Cons:** - Users face **integration issues** with Clarisights, as the process can be unclear despite team support. - Users experience a **slight learning curve** with Clarisights, especially transitioning from heavy spreadsheet usage. - Users face **technical issues when renaming campaigns** , and find integration confusing despite accountants' support. - Users find the **lack of search term-level data** limits insights and hinders detailed analysis of ad performance. - Users find the **lack of customization** in Clarisights restricts their ability to analyze data deeply. #### 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) --- ### 21. [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 approach and accessibility for non-technical stakeholders. - Users value the **BPMN approach** and integration features of Frends for enhancing process visualization and custom task creation. - Users love the **easy integrations** with Frends, making complex processes simple for both technical and non-technical users. - Users appreciate the **easy-to-understand integration architecture** of Frends, allowing accessibility for both technical and non-technical users. - Users value the **easy-to-use integration capabilities** of Frends, enabling seamless connections even in complex scenarios. **Cons:** - Users note the **missing features** in Frends, particularly with visual mapping tools and diverse monitoring options. - Users find the **UX improvement** necessary due to restrictive GUI and cumbersome logging processes affecting usability. - Users feel the **limited features** of Frends detract from their development experience and hinder productivity. - Users find the **difficult learning** curve of Frends frustrating, especially with vague explanations and confusing processes. - Users find **integration issues** challenging with Frends, facing difficulties in navigation and needing more coding skills. #### 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) ### 22. [Talend Cloud Data Integration](https://www.g2.com/products/talend-cloud-data-integration/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 92 **Product Description:** Integrate all your cloud and on-premises data with a secure cloud integration platform-as-a-service (iPaaS). Talend Integration Cloud puts powerful graphical tools, prebuilt integration templates, and a rich library of components at your fingertips. Talend Cloud's suite of apps also provide market-leading data integrity and quality solutions, ensuring that you can make data-driven decisions with confidence. #### What Are Recent G2 Reviews of Talend Cloud Data Integration? **"[Talend Application Used for past 5 years - Great Experience](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-5417989) --- **"[A great tool that makes data integration easy.](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380)"** **Rating:** 4.5/5.0 stars *— Verle P.* [Read full review](https://www.g2.com/survey_responses/talend-cloud-data-integration-review-4579380) --- #### What Are G2 Users Discussing About Talend Cloud Data Integration? - [What do you like most about Talend Cloud Data Integration, and how has it improved your ETL processes?](https://www.g2.com/discussions/what-do-you-like-most-about-talend-cloud-data-integration-and-how-has-it-improved-your-etl-processes) - [What is Talend Cloud Data Integration used for?](https://www.g2.com/discussions/what-is-talend-cloud-data-integration-used-for) - [What does Talend software do?](https://www.g2.com/discussions/talend-cloud-data-integration-what-does-talend-software-do) ### 23. [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's **ease of use** refreshing, with a friendly UI and efficient onboarding and support. - Users appreciate the **seamless integrations** of Adverity, allowing effortless data management across numerous marketing platforms. - Users value the **easy integration and data management** capabilities of Adverity, enhancing workflow efficiency and consistency. - Users value the **easy integrations** offered by Adverity, enhancing their data management experience across various platforms. - Users appreciate the **clear and intuitive user interface** of Adverity, making data management easy and efficient. **Cons:** - Users find the **time-consuming data processing** in Adverity can hinder timely reporting and complicate workflow efficiency. - Users often face **complex setup** challenges, requiring significant time and technical knowledge for integrations and custom reporting. - Users find the **data management process cumbersome** , requiring significant effort to ensure accurate reports and visualizations. - Users find **difficult learning** curves in Adverity, especially with advanced features and complicated initial setups. - Users find **limited customization** in Adverity's visualization tools, often needing to export data for deeper analysis. #### 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 ### 24. [Hevo Data](https://www.g2.com/products/hevo-data/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 276 **Product Description:** Hevo is a reliable, cost-effective ELT platform that effortlessly streamlines data integration. As an automated data pipeline solution, Hevo seamlessly syncs data from 150+ sources, including SQL, NoSQL, and SaaS applications, into your data warehouse, automatically transforming it for analytics—removing the need for manual pipeline management. Trusted by over 2,000 data teams in 45+ countries, Hevo enables businesses to centralize their data effortlessly. With an intuitive interface, setting up data pipelines is quick and straightforward—just four easy steps and five minutes to get your data flowing reliably. ### What Do G2 Reviewers Say About Hevo Data? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Hevo Data, appreciating its no-code interface for seamless data integration. - Users appreciate the **24/7 customer support** of Hevo Data, ensuring assistance whenever needed during implementation. - Users love the **easy integrations** with Hevo Data, allowing seamless ETL processes without the need for coding. - Users find Hevo Data's **easy setup** a game-changer, as no coding is needed for quick ETL pipeline implementation. - Users love the **no-code implementation** of Hevo Data, making ETL pipelines effortless and efficient with drag-and-drop features. **Cons:** - Users note the **expensive pricing** of Hevo Data, which can be a barrier despite its useful features. - Users find the **pricing issues** of Hevo Data a bit high, affecting the overall value of the product. - Users struggle with **limited customization** , making complex transformations challenging and the UI sometimes unintuitive. - Users face **limited customization** and transformation capabilities, which impact their ability to tailor processes effectively. - Users find the **setup process complex** , leading to confusion and making initial implementation challenging. #### What Are Recent G2 Reviews of Hevo Data? **"[Powerful Automated Pipeline with Flexible Selection, Smooth Integrations, and Fast Support](https://www.g2.com/survey_responses/hevo-data-review-12668137)"** **Rating:** 5.0/5.0 stars *— Nikhil K.* [Read full review](https://www.g2.com/survey_responses/hevo-data-review-12668137) --- **"[Seamless MongoDB to BigQuery Integration with Exceptional Support](https://www.g2.com/survey_responses/hevo-data-review-12877435)"** **Rating:** 4.0/5.0 stars *— Fernand R.* [Read full review](https://www.g2.com/survey_responses/hevo-data-review-12877435) --- #### What Are G2 Users Discussing About Hevo Data? - [How do you use HEVO data?](https://www.g2.com/discussions/how-do-you-use-hevo-data) - [Is HEVO ETL tool?](https://www.g2.com/discussions/is-hevo-etl-tool) - 1 comment - [Why use Hevo?](https://www.g2.com/discussions/why-use-hevo) ### 25. [Singular](https://www.g2.com/products/singular/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 501 **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's **responsive customer support** that quickly resolves issues and enhances user experience. - Users find Singular's platform incredibly **easy to use** , thanks to its intuitive interface and exceptional customer support. - Users highlight the **excellent customer support** and intuitive interface of Singular, simplifying troubleshooting and setup processes. - Users appreciate the **intuitive insights and seamless integrations** of Singular, enhancing their marketing and attribution strategies. - Users value the **single, reliable source of truth** provided by Singular for accurate UA data analysis. **Cons:** - Users note the **poor interface design** of Singular, finding it overwhelming and in need of more intuitive features. - Users note that the **poor UI** can be overwhelming and requires improvement for better usability and navigation. - Users note that the **UI design issues** can make the experience overwhelming and less intuitive for advanced features. - Users find **attribution issues** problematic, struggling with unclear credit assignment and reliability across multiple devices. - Users report significant **dashboard issues** , noting a lack of customization and an unintuitive interface that hinders usability. #### What Are Recent G2 Reviews of Singular? **"[Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy](https://www.g2.com/survey_responses/singular-review-12624145)"** **Rating:** 4.5/5.0 stars *— Marko D.* [Read full review](https://www.g2.com/survey_responses/singular-review-12624145) --- **"[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)"** **Rating:** 4.5/5.0 stars *— Giedrius P.* [Read full review](https://www.g2.com/survey_responses/singular-review-5211366) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ## 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