# Best ETL Tools *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* ETL (extract, transform, and load) tools transfer data between databases and external systems, supporting data replication, warehousing, analytics, data cleansing, and structuring, and increasingly support ELT workflows where transformation occurs within the target system rather than before loading. ### Core Capabilities of ETL Tools To qualify for inclusion in the ETL category, a product must: - Facilitate extract, transform, and load processes - Transform data for quality or visualization - Audit or record integration data - Archive data for backup, future reference, or analysis ### Common Use Cases for ETL Tools Data engineering and analytics teams use ETL tools to move and prepare data for reporting, analysis, and business intelligence. Common use cases include: - Replicating data from source systems into [data warehouses](https://www.g2.com/categories/data-warehouse) for centralized analytics - Cleansing and transforming raw data into structured, queryable formats - Building visual data workflows to automate recurring data transfer and integration processes ### How ETL Tools Differ from Other Tools ETL tools pre-process and transform data before loading it into the target system, distinguishing them from ELT approaches where the target system handles transformation after loading. While [data integration tools](https://www.g2.com/categories/data-integration-tools) cover a broader range of connectivity scenarios, ETL tools focus specifically on structured data movement pipelines with built-in transformation, auditing, and archiving capabilities. ### Insights from G2 on ETL Tools Based on category trends on G2, visual workflow builders and pre-built connectors stand out as standout features. These platforms deliver reductions in manual data preparation time and improved data quality as core benefits of ETL adoption. ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 247 ### Category Stats (May 2026) - **Average Rating**: 4.55/5 (↑0.02 vs Apr 2026) - **New Reviews This Quarter**: 394 - **Buyer Segments**: Mid-Market 45% │ Small-Business 28% │ Enterprise 27% - **Top Trending Product**: Datacoves (+0.015) *Last updated: May 31, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,100+ Authentic Reviews - 247+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Top ETL Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (761 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Lakebase - Good Option for Low Latency Data Serving with Databricks Integration](https://www.g2.com/survey_responses/databricks-review-12542177)" | | 2 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,147 reviews) | Serverless analytics on large cloud datasets | "[Fast, Scalable Serverless Analytics and data mining with Google bigquery](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204)" | | 3 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Celigo, a greta integrator with a University Lab inside it.](https://www.g2.com/survey_responses/celigo-review-10532295)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (774 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 ETL Tools Is Best for Your Use Case? - **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Highest Performer:** [Skyvia](https://www.g2.com/products/skyvia/reviews) - **Easiest to Use:** [Skyvia](https://www.g2.com/products/skyvia/reviews) - **Top Trending:** [Peliqan](https://www.g2.com/products/peliqan/reviews) - **Best Free Software:** [Fivetran](https://www.g2.com/products/fivetran/reviews) ## Which Type of ETL Tools Tools Are You Looking For? - [ETL Tools](https://www.g2.com/categories/etl-tools) *(current)* - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- **Sponsored** ### Domo Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1181&secure%5Bdisplayable_resource_id%5D=1181&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1181&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=604&secure%5Bresource_id%5D=1181&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fetl-tools%3Fpage%3D4&secure%5Btoken%5D=a764a742911a14734033070d771ed919f74a2cc7d1357a17776f63db1efc97ad&secure%5Burl%5D=https%3A%2F%2Fwww.domo.com%2Fsolution%2Fai-transform%3Futm_source%3DG2Crowd%26utm_medium%3Ddisplay%26utm_campaign%3DPortalSite_Category_ETL_FY27_NAM%26campid%3D701Vu00002CQHjpIAH&secure%5Burl_type%5D=custom_url) --- ## Buyer Guide: Key Questions for Choosing ETL Tools Software ### What do ETL tools do? When I explain ETL tools, I frame them as systems that help businesses move and prepare data across applications, databases, files, APIs, and cloud platforms. These platforms bring extraction, transformation, mapping, syncing, and loading into one workflow, so teams can support reporting, automation, analytics, and operations with cleaner data. Instead of moving data manually or building every connection from scratch, teams can create more reliable data flows with less integration effort. ### Why do businesses use ETL tools? From the G2 reviewer patterns I evaluated, businesses use ETL tools because disconnected systems create repetitive work, data gaps, and slow reporting. Users often mention the need to connect ERP, CRM, e-commerce, warehouse, finance, and analytics environments without manual exports. Common benefits include: - Less manual data entry and fewer spreadsheet workarounds. - Faster data movement between applications and reporting tools. - More reliable syncs across operations, finance, sales, and customer systems. - Clearer automation for repeatable workflows. - Better support for analytics, dashboards, and decisions. ### Who uses ETL tools primarily? After I evaluated G2 reviewer roles and job context, I found that ETL tools serve technical and business-facing teams: - **Administrators** manage integrations, monitor flows, and keep systems aligned. - **Data and analytics teams** prepare datasets, pipelines, warehouses, and reports. - **IT teams** connect applications, APIs, and cloud platforms. - **Operations teams** reduce manual order, inventory, finance, and customer work. - **Consultants** build integrations for client environments. ### What types of ETL tools should I consider? From the review themes I evaluated, buyers should compare several tool types: - **Application integration platforms** for business app connections and workflow automation. - **Data pipeline and warehouse tools** for scale, transformation logic, and analytics readiness. - **Low-code integration tools** for faster setup and visual flow design. - **Developer-oriented platforms** for APIs, custom logic, and complex environments. - **Cloud data platforms** for processing, governance, and analytics use cases. - **Specialized connector tools** when common systems must sync quickly. ### What are the core features to look for in ETL tools? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Prebuilt connectors for common business systems that help reduce integration build time. - API support for custom integrations that help teams connect systems beyond native connector coverage. - Mapping and transformation controls that help teams clean, shape, and prepare data without relying on custom code for every change. - Workflow automation and scheduling that help pipelines run reliably on a repeatable cadence. - Monitoring, alerts, and error handling that help teams catch pipeline issues before they affect reporting, analytics, or downstream systems. - Clear setup and admin controls that help reduce dependency on specialized engineering resources. - Documentation and support resources that help teams onboard faster and troubleshoot integration issues. - Scalability for larger data volumes and complex pipeline architectures that help the platform support growing data needs over time. ### What trends are shaping ETL tools right now? Based on the reviewer sentiment I evaluated, several patterns stood out: - **Setup simplicity is advancing** without sacrificing depth or configurability. - **Low-code development** is shortening pipeline build times for non-engineering teams. - **Cloud-first architecture** is becoming the default as on-premise needs narrow to regulated use cases. - **AI-assisted workflow logic** is raising the bar for what teams expect from automation. - **Data quality and observability** are maturing into core pipeline requirements rather than afterthoughts. - **Cross-system integration coverage** is expanding as analytics, ERP, e-commerce, and finance ecosystems converge. ### How should I choose ETL tools? For me, the strongest ETL tools match your data sources, team depth, and maintenance needs. The G2 feedback I evaluated points to a clear decision path: prioritize connector fit, setup effort, transformation control, monitoring quality, support, and scale. If reviewers praise usability yet also cite learning curve, documentation, or pricing concerns, test onboarding and long-term administration before you commit. --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 761 **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? **"[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) --- **"[Databricks in my case: Multiple Integrations, Intuitive UI, and Reliable Performance](https://www.g2.com/survey_responses/databricks-review-12834055)"** **Rating:** 4.0/5.0 stars *— Yelnur K.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12834055) --- #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes ### 2. [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? **"[Fast, Scalable Serverless Analytics and data mining with Google bigquery](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204)"** **Rating:** 4.5/5.0 stars *— Tanishka J.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12835204) --- **"[Scalable, Secure BigQuery That Connects Seamlessly Across Services](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)"** **Rating:** 5.0/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747) --- #### What Are G2 Users Discussing About Google Cloud BigQuery? - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment ### 3. [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) ### 4. [Alteryx](https://www.g2.com/products/alteryx/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 774 **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) --- ### 5. [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) --- ### 6. [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) ### 7. [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) ### 8. [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 ### 9. [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) ### 10. [Skyvia](https://www.g2.com/products/skyvia/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 319 **Why buyers love it?:** Skyvia’s reviews gave me a clear view of a no-code data movement tool for CRM, databases, spreadsheets, and reporting systems. Reviewers highlight automated sync, scheduling, Salesforce backup and restore, connector breadth, and reduced manual transfers. I found its best fit in operational data workflows where consistency across business systems matters more than heavy engineering customization. Advanced mapping, job debugging, and setup guidance also come up as areas that can require extra attention. ### What Do G2 Reviewers Say About Skyvia? *AI-generated summary from verified user reviews* **Pros:** - Users find Skyvia's **ease of use** exceptional, enabling straightforward integration with minimal effort required. - Users value the **easy integrations** offered by Skyvia, simplifying connections between various platforms without needing extensive coding. - Users appreciate the **easy setup** of Skyvia, allowing smooth implementation for both basic and complex integrations. - Users appreciate the **easy setup** of Skyvia, making integration quick and user-friendly for organizations. - Users appreciate the **ease of integration** with Skyvia, enabling quick connections between multiple systems effortlessly. **Cons:** - Users note an **information deficiency** in Skyvia's documentation and logs, making troubleshooting and understanding more challenging. - Users find the **difficult setup** of Skyvia challenging, requiring extra time for configuration and initial trials. - Users find that the **learning curve** can be steep due to the platform's complex interface and functionality. - Users find the **documentation lacking** in real-world examples, making setup and troubleshooting less intuitive. - Users find the **setup process complex** , requiring trial and error for larger datasets and field mapping configurations. #### Key Features - Diverse Extraction Points - Auditing - Service Provision - Real-Time Integration - Data Mapping #### What Are Recent G2 Reviews of Skyvia? **"[Easy, No-Code Data Sync Setup with Straightforward Pricing](https://www.g2.com/survey_responses/skyvia-review-12828558)"** **Rating:** 5.0/5.0 stars *— Emily C.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-12828558) --- **"[Straightforward, Reliable Data Sync Between Cloud Apps and Databases](https://www.g2.com/survey_responses/skyvia-review-12843850)"** **Rating:** 5.0/5.0 stars *— Marcus W.* [Read full review](https://www.g2.com/survey_responses/skyvia-review-12843850) --- #### What Are G2 Users Discussing About Skyvia? - [What is Skyvia used for?](https://www.g2.com/discussions/what-is-skyvia-used-for) - 1 comment ### 11. [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 ### 12. [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) ### 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. [5X](https://www.g2.com/products/5x/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 81 **Why buyers love it?:** What stood out to me in 5X’s G2 feedback was how often reviewers describe it as a unified place to build, manage, and operate modern data workflows. Reviewers highlight integrated ingestion, dbt development, orchestration, BI workflows, governance, and version control as parts of a connected platform rather than separate tools. I read the product as especially useful when teams want to reduce friction across data engineering and analytics work while keeping source integration and dashboard delivery in one environment. Users also point to responsive support and hands-on implementation guidance, while some mention an initial learning curve, complex setup, and maturing feature areas. ### What Do G2 Reviewers Say About 5X? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of 5X, appreciating its intuitive interface and responsive customer support. - Users commend the **responsive customer support** of 5X, appreciating quick replies and rapid feature implementations. - Users value the **seamless integration capabilities** of 5X, enhancing data management and workflow automation effortlessly. - Users appreciate the **easy integrations** of 5X, which enhance their investment platform with seamless external data connections. - Users value the **streamlined data integration** and intuitive design of 5X, enhancing efficiency and usability in data management. **Cons:** - Users find a **steep learning curve** initially with 5X, but training helps ease the adjustment over time. - Users find the **complex setup** of 5X challenging, impacting deployment time and requiring additional support. - Users face a challenging **learning curve** at first, but adaptability increases with training and support. - Users find the **difficult setup** process lengthy and complex, requiring significant time and support for successful deployment. - Users note **feature limitations** , as some advanced functionalities are still in beta and require waiting for improvements. #### Key Features - Reporting - Extraction - Data Integration - Analytics capabilities - Data Observability #### What Are Recent G2 Reviews of 5X? **"[Exceptional Support and User-Friendly Platform Driving Our Data Transformation](https://www.g2.com/survey_responses/5x-review-11903408)"** **Rating:** 4.0/5.0 stars *— Shuming F.* [Read full review](https://www.g2.com/survey_responses/5x-review-11903408) --- **"[A reliable and scalable data partner](https://www.g2.com/survey_responses/5x-review-11889175)"** **Rating:** 5.0/5.0 stars *— Varinderjit K.* [Read full review](https://www.g2.com/survey_responses/5x-review-11889175) --- ### 15. [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? **"[Powerful Data Integration With IBM Stream sets.](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909) --- **"[Simplifies Real-Time Data Pipelines with Mixed Customization](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946) --- #### What Are G2 Users Discussing About IBM StreamSets? - [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for) - [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector) - [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub) ### 16. [dbt](https://www.g2.com/products/dbt/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 205 **Product Description:** dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. ### What Do G2 Reviewers Say About dbt? *AI-generated summary from verified user reviews* **Pros:** - Users 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 ### 17. [Coupler.io](https://www.g2.com/products/coupler-io/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 102 **Product Description:** Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, transform it, and load it into spreadsheets, BI tools, data warehouses, and AI agents. No complex setup or deep technical expertise required. Trusted by 1M+ users, including companies like Uber, Netflix, and Airbus, Coupler.io streamlines data processes for marketers, data analysts, business owners, sales teams, e-commerce businesses, and financial professionals. With 1800+ ready-made integrations, Coupler.io allows you to automatically collect data from Google Analytics, Facebook Ads, GoHighLevel, Shopify, QuickBooks, and many other apps. You can blend data from multiple sources into Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Coupler.io makes data transformation easy with data joining and appending functions, filtering, formulas, and data set templates. To quick-start with reporting, explore Coupler.io's in-app dashboards and free dashboard templates gallery for third-party tools. You can also build custom dashboards from scratch. AI Insights interprets dashboards in seconds, highlighting trends and anomalies and providing actionable recommendations. Coupler.io's AI integrations enable real-time analysis of large, blended data through natural language conversations in AI chats. These allow businesses to make data-driven decisions, scale operations, and improve reporting efficiency. Coupler.io is a SOC 2-certified, reliable platform that follows the highest data security and privacy standards to keep your data protected. Take full control of your data, identify what works, and scale it with Coupler.io for holistic data management and analysis! ### What Do G2 Reviewers Say About Coupler.io? *AI-generated summary from verified user reviews* **Pros:** - Users find Coupler.io's **ease of use** exceptional, allowing seamless automation of data flows without complex setup. - Users love the **incredible time savings** Coupler.io provides, drastically reducing hours of manual work to mere seconds. - Users value Coupler.io for its **powerful automation capabilities** , significantly enhancing reporting speed and data management efficiency. - Users value the **massive integration library** of Coupler.io, enabling quick connections across various platforms for streamlined reporting. - Users highlight the **easy data integration** capabilities of Coupler.io, significantly streamlining complex reporting processes. **Cons:** - Users find the **difficult setup** for complex data models and niche data sources frustrating and time-consuming. - Users find the **complex setup** process challenging, requiring trial and error, especially for advanced data models. - Users experience a **small learning curve** when mastering data schemas and transformations, but support helps ease the process. - Users feel that Coupler.io can become **expensive** , especially for those with multiple data sources like YouTube. - Users find a **lack of information** on advanced features in Coupler.io, making complex setups challenging. #### What Are Recent G2 Reviews of Coupler.io? **"[Helpful tool for syncing data with Airtable](https://www.g2.com/survey_responses/coupler-io-review-9448658)"** **Rating:** 4.5/5.0 stars *— Hannah P.* [Read full review](https://www.g2.com/survey_responses/coupler-io-review-9448658) --- **"[Easy way to connect Power BI to Quickbooks](https://www.g2.com/survey_responses/coupler-io-review-12796693)"** **Rating:** 5.0/5.0 stars *— Yassine L.* [Read full review](https://www.g2.com/survey_responses/coupler-io-review-12796693) --- #### What Are G2 Users Discussing About Coupler.io? - [What is Coupler.io used for?](https://www.g2.com/discussions/what-is-coupler-io-used-for) ### 18. [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 ### 19. [Matia](https://www.g2.com/products/matia/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 32 **Product Description:** Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data, instead of their tools. Matia combines ingestion, reverse ETL, data cataloging, and observability into a single, unified interface. Rather than stitching together multiple tools for data movement, observability, and metadata tracking, teams use Matia to streamline their workflow, reduce vendor bloat, and improve data trust across the organization. Common use cases include syncing operational data into warehouse destinations, monitoring pipeline health with built-in alerts, documenting data assets automatically, and aligning data delivery with business-critical SLAs. Teams adopt Matia to simplify their stack, reduce engineering overhead, and create more transparent, reliable data infrastructure. ### What Do G2 Reviewers Say About Matia? *AI-generated summary from verified user reviews* **Pros:** - Users praise Matia's **exceptional customer support** , highlighting the team's readiness to assist and resolve issues effectively. - Users find Matia's **ease of use** remarkable, with intuitive design and seamless integration leading to a smooth experience. - Users commend Matia for its **dedicated support and intuitive UI** , making integrations and migrations seamless and efficient. - Users commend Matia for its **easy implementation** and responsive support, making DataOps streamlined and efficient. - Users value the **easy integrations** of Matia, which simplify setup and improve overall efficiency in data management. **Cons:** - Users note the **limited connectors** available in Matia, yet they appreciate the team's responsiveness in adding new integrations. - Users find Matia's interface **not user-friendly** , struggling with its complexity and slow loading times. - Users find the **UI unintuitive and sluggish** , indicating a need for better design and performance improvements. - Users experience **integration issues** with Matia, leading to slower load times and compatibility challenges. - Users notice **limited features** with Matia, particularly fewer connectors and less advanced capabilities than competitors. #### What Are Recent G2 Reviews of Matia? **"[Seamless Transition, Outstanding Value](https://www.g2.com/survey_responses/matia-review-12570399)"** **Rating:** 5.0/5.0 stars *— Jonah J.* [Read full review](https://www.g2.com/survey_responses/matia-review-12570399) --- **"[Excellent tooling backed by a highly supportive team](https://www.g2.com/survey_responses/matia-review-12338799)"** **Rating:** 5.0/5.0 stars *— Verified User in Security and Investigations* [Read full review](https://www.g2.com/survey_responses/matia-review-12338799) --- ### 20. [Coefficient](https://www.g2.com/products/coefficient/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 184 **Product Description:** Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets. ### What Do G2 Reviewers Say About Coefficient? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Coefficient, enjoying its seamless integration and user-friendly setup. - Users appreciate the **seamless automation** of Coefficient, enhancing efficiency with effortless data integration and refreshing. - Users value the **seamless integrations** provided by Coefficient, enhancing efficiency and ease of use. - Users value the **time-saving features** of Coefficient, enabling quick data import and effortless refresh in one click. - Users love the **easy integrations** of Coefficient, simplifying data connections and enhancing productivity effortlessly. **Cons:** - Users find the **limited features** of Coefficient restrict functionality, especially concerning filtering and integration needs. - Users note the **feature limitations** of Coefficient, particularly the lack of bulk updates and multiple filter options. - Users face a **limitation on data processing** , as not all rows may be included in reports, affecting usability. - Users note the **missing features** in Coefficient, particularly the lack of certain connectors and bulk update options. - Users experience **integration issues** with Coefficient, particularly with Salesforce and data pulling, affecting overall efficiency. #### What Are Recent G2 Reviews of Coefficient? **"[Effortless Salesforce to Sheets Integration](https://www.g2.com/survey_responses/coefficient-review-12701723)"** **Rating:** 5.0/5.0 stars *— Ellen Dericks C.* [Read full review](https://www.g2.com/survey_responses/coefficient-review-12701723) --- **"[Effortless Scheduled Refreshes. Eliminates Manual Exports and Makes Revenue Data Actionable](https://www.g2.com/survey_responses/coefficient-review-12318636)"** **Rating:** 5.0/5.0 stars *— Jacob R.* [Read full review](https://www.g2.com/survey_responses/coefficient-review-12318636) --- ### 21. [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? **"[There are some ups and downs, but the support is mostly timely and professional](https://www.g2.com/survey_responses/singular-review-5211366)"** **Rating:** 4.5/5.0 stars *— Giedrius P.* [Read full review](https://www.g2.com/survey_responses/singular-review-5211366) --- **"[Singular Makes Cross-Channel Reporting and ROAS Tracking Fast and Easy](https://www.g2.com/survey_responses/singular-review-12624145)"** **Rating:** 4.5/5.0 stars *— Marko D.* [Read full review](https://www.g2.com/survey_responses/singular-review-12624145) --- #### What Are G2 Users Discussing About Singular? - [What is Singular used for?](https://www.g2.com/discussions/what-is-singular-used-for) ### 22. [Parabola](https://www.g2.com/products/parabola/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 53 **Product Description:** Parabola is the AI agent platform for ops and finance teams. You describe your messy, recurring processes (the work that lives in macros, Python scripts, and tribal knowledge today) like reconciliations, carrier billing audits, accruals, inventory checks, and PO matching. Parabola builds the agents that run them on schedule, handle the unstructured inputs (PDFs, screenshots, multi-tab spreadsheets) a human analyst would handle, and show their work at every step. Unlike black-box agents, every decision is inspectable, governable, and audit-ready, so the agent becomes the SOP your team can review, hand off, and update without re-prompting from scratch. Every Parabola engagement includes access to a team of automation engineers, who take learnings from thousands of prior engagements to help design, scope, and deploy agents ready for production scale, not as a demo. Ops and finance teams at On Running, WHOOP, Flexport, Fabletics, Kendo Brands, KIND Bar, Spindrift, and Uber Freight use Parabola to operationalize AI for the high-stakes recurring work generic chatbots and autonomous agents can't safely run. ### What Do G2 Reviewers Say About Parabola? *AI-generated summary from verified user reviews* **Pros:** - Users praise Parabola for its **automation capabilities** , dramatically reducing repetitive tasks and enhancing operational efficiency. - Users find Parabola's **ease of use** empowering, enabling quick automation of complex workflows without heavy coding. - Users find Parabola's interface **intuitive and easy to navigate** , greatly enhancing their workflow automation experience. - Users appreciate the **time-saving capabilities** of Parabola, significantly reducing hours spent on repetitive tasks. - Users highlight **time-saving capabilities** of Parabola, drastically reducing workflow completion times and allowing focus on higher-value tasks. **Cons:** - Users find the **limitations in user collaboration and multi-step processes** to hinder their overall experience with Parabola. - Users face a **steep learning curve** initially, making it challenging for new users to grasp flow building concepts. - Users find the **time consumption** in setting up flows to be a significant challenge with Parabola. - Users find **data inaccuracy** in Parabola, often needing to double-check work and manage data sources carefully. - Users are frustrated by **limited export options** , specifically the 25MB limit and data rewriting issues when exporting. #### What Are Recent G2 Reviews of Parabola? **"[Parabola Makes Automation Easy and Independently Driven](https://www.g2.com/survey_responses/parabola-review-12880670)"** **Rating:** 5.0/5.0 stars *— Krystal C.* [Read full review](https://www.g2.com/survey_responses/parabola-review-12880670) --- **"[Parabola Saves Hours with Accurate Automation and Responsive Support](https://www.g2.com/survey_responses/parabola-review-12893265)"** **Rating:** 4.5/5.0 stars *— Michelle I.* [Read full review](https://www.g2.com/survey_responses/parabola-review-12893265) --- #### What Are G2 Users Discussing About Parabola? - [What is Parabola used for?](https://www.g2.com/discussions/what-is-parabola-used-for) ### 23. [Weld](https://www.g2.com/products/weld-weld/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 104 **Product Description:** Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure. ### What Do G2 Reviewers Say About Weld? *AI-generated summary from verified user reviews* **Pros:** - Users find Weld to be **extremely easy to use** , simplifying data connections and automating processes efficiently. - Users praise Weld's **exceptional customer support** , resolving issues rapidly and enhancing overall user experience. - Users praise Weld for its **easy integration** with various platforms and intuitive exploration of data. - Users appreciate the **automation capabilities** of Weld, saving significant time and simplifying data management across platforms. - Users appreciate the **easy data integration** capabilities of Weld, enabling efficient connections across multiple platforms effortlessly. **Cons:** - Users find the **limited connectors** of Weld a drawback, especially the inability to insert data into MongoDB. - Users find the **limited connectors** in the basic plan restrictive, needing more for efficient workflows. - Users find a lack of **native connectors** in Weld, requiring reliance on third-party tools for some integrations. - Users note that Weld has **limited integrations** , which can restrict functionality compared to alternatives like Fivetran. - Users face **connectivity issues** with limited connectors, often relying on third-party tools for certain integrations. #### What Are Recent G2 Reviews of Weld? **"[Easy Connector Setup and Great Value](https://www.g2.com/survey_responses/weld-review-12601466)"** **Rating:** 4.5/5.0 stars *— Lucas T.* [Read full review](https://www.g2.com/survey_responses/weld-review-12601466) --- **"[Seamless ETL with Stellar Support](https://www.g2.com/survey_responses/weld-review-12858335)"** **Rating:** 5.0/5.0 stars *— Edward S.* [Read full review](https://www.g2.com/survey_responses/weld-review-12858335) --- ### 24. [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) --- ### 25. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 560 **Product Description:** Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Operations Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Operations Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Operations Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Operations Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Operations Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Operations Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Operations Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Operations Hub: Operations Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Operations Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience. ### What Do G2 Reviewers Say About HubSpot Data Hub? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in HubSpot Data Hub, facilitating seamless operations and streamlined workflow management. - Users appreciate the **two-way data synchronization** of HubSpot Data Hub, enhancing efficiency and accuracy across teams. - Users praise the **automation capabilities** of HubSpot Data Hub, making workflows seamless and improving operational efficiency. - Users value the **seamless integration** of HubSpot Data Hub, enhancing data management and operational efficiency effortlessly. - Users appreciate the **efficiency** of HubSpot Data Hub, saving time and enhancing marketing through effective automation. **Cons:** - Users experience **slowness and complexity** with HubSpot Data Hub, particularly regarding sharing settings and scattered data tools. - Users are frustrated by **missing features** behind paywalls, leading to dissatisfaction with value and support. - Users find the **learning curve complex** , requiring expert help to fully utilize HubSpot Data Hub's capabilities. - Users find the **pricing to be expensive** , making it challenging to justify the investment for their businesses. - Users find the **complexity of advanced transformations** in HubSpot Data Hub to be a significant barrier to seamless usage. #### What Are Recent G2 Reviews of HubSpot Data Hub? **"[HubSpot Data Hub Keeps Customer Data Clean and Centralized](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)"** **Rating:** 4.0/5.0 stars *— Sagar K.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615) --- **"[HubSpot Data Hub simplifies and centralizes data with ease](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925)"** **Rating:** 5.0/5.0 stars *— Gabriel G.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925) --- #### What Are G2 Users Discussing About HubSpot Data Hub? - [What is HubSpot Operations Hub used for?](https://www.g2.com/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [iPaaS Software](https://www.g2.com/categories/ipaas) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Data Extraction Tools](https://www.g2.com/categories/data-extraction-tools) --- ## How Do You Choose the Right ETL Tools? ### What You Should Know About ETL Tools ### ETL software buying insights at a glance Organizations today manage data across multiple applications, databases, and cloud environments. [ETL tools](https://www.g2.com/categories/etl-tools) help teams extract, transform, and load that data into centralized systems where it can be analyzed and used for reporting or operational decision-making. As companies adopt [cloud data warehouses](https://www.g2.com/categories/data-warehouse) and modern analytics stacks, these solutions play an important role in keeping data pipelines reliable and consistent.  The best ETL tools help organizations reduce manual scripting, maintain consistent data pipelines, and support large volumes of data across multiple integrations. As data environments grow more complex, ETL providers increasingly focus on simplifying integrations and enabling faster access to analytics-ready data. Common use cases focus on simplifying how data moves and gets prepared across systems. Teams use these tools to automate pipelines between SaaS apps, databases, and warehouses, consolidate data for unified reporting, and transform raw inputs into analytics-ready datasets for [BI tools](https://www.g2.com/categories/business-intelligence). They also help maintain consistent, reliable data flows across distributed environments, supporting cloud data warehouses and modern analytics platforms. Pricing varies across the category depending on the number of integrations, pipeline volume, and transformation complexity. Many vendors use usage-based pricing models tied to data volume or connectors. Entry-level plans often support smaller teams or limited pipelines, while enterprise deployments add advanced monitoring, governance, and scalability capabilities. ### Top 5 FAQs from software buyers - How do ETL tools support modern data stacks and cloud-based data architectures? - How well do ETL platforms integrate with cloud data warehouses like BigQuery, Snowflake, or Redshift? - Which ETL tools simplify pipeline management and reduce maintenance overhead for data teams? - What level of scalability and performance do ETL solutions provide for large-scale data pipelines? - Which ETL providers offer the broadest integration support across SaaS applications, databases, and APIs? G2’s top-rated ETL tools, based on verified reviews, include [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews), [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Workato](https://www.g2.com/products/workato/reviews), and [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews). ### What are the top-reviewed ETL Tools on G2? [**Google Cloud BigQuery**](https://www.g2.com/products/google-cloud-bigquery/reviews) - Number of Reviews: 324 - Satisfaction: 98 - Market Score: 99 - G2 Score: 98 [**Databricks**](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 279 - Satisfaction: 100 - Market Score: 81 - G2 Score: 90 [**Domo**](https://www.g2.com/products/domo/reviews) - Number of Reviews: 380 - Satisfaction: 88 - Market Score: 73 - G2 Score: 80 [**Workato**](https://www.g2.com/products/workato/reviews) - Number of Reviews: 224 - Satisfaction: 94 - Market Score: 62 - G2 Score: 78 [**SnapLogic Intelligent Integration Platform (IIP)**](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - Number of Reviews: 172 - Satisfaction: 94 - Market Score: 60 - G2 Score: 77 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in ETL Tools #### Feedback Pros: What Users Consistently Appreciate • **Visual pipeline builders simplify complex multi-source data integrations** _“I love how the SnapLogic Intelligent Integration Platform (IIP) makes building integrations so easy with its AI-powered and low-code interface, which significantly streamlines design and maintenance for both technical and non-technical users. This platform guides the pipeline design and reduces the manual effort, aligning with its AI-driven workflow approach, and it has been instrumental in helping me automate workflows, improve data flow efficiency, and reduce the integration effort significantly. The initial setup was very easy because it's a cloud-based, self-service platform that minimizes installation effort and helps teams get started quickly. I highly recommend SnapLogic IIP for organizations looking to modernize and accelerate their integration strategy, and I would rate it a 9 for its ease of use.”_ - [Sanket N.](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews/snaplogic-intelligent-integration-platform-iip-review-12380685), SnapLogic Intelligent Integration Platform (IIP) review • **Extensive connectors enable fast integration across SaaS and databases** _“We use this every day as a vital part of an integration between our website and database. Easy to use with a number of different integrations available at your fingertips. Assistance was always an email away.”_ - [Nick E.](https://www.g2.com/products/skyvia/reviews/skyvia-review-12443772), Skyvia review • **Automation capabilities reduce manual pipeline maintenance and data preparation** _“Workato is an excellent tool for automating tasks and improving processes. What I find truly impressive is that we no longer have to rely on our ERP vendor for new features or automations; instead, we can handle everything ourselves using Workato. Personally, I have implemented numerous enhancements that have greatly benefited the Finance team, resulting in an estimated annual savings of around 1,000 hours. Also tool is so easy to use that you do not need to have any technical knowledge.”_ - [Manvitha K.](https://www.g2.com/products/workato/reviews/workato-review-12106615), Workato review #### Cons: Where Many Platforms Fall Short • **Advanced transformations require deeper technical knowledge and configuration** _“Some advanced use cases require a deeper technical understanding, especially when building custom flows, handling edge cases, or working with complex APIs. The UI can feel overwhelming for new users, and debugging large integrations could be improved with more developer-style tooling. Pricing can also be a consideration for smaller organizations compared to lightweight automation tools.”_ - [Nuri Vladimir E.](https://www.g2.com/products/celigo/reviews/celigo-review-12356472), Celigo review • **Limited debugging visibility when pipelines fail during complex workloads** _“Debugging and troubleshooting pipelines can sometimes be difficult. Error messages are not always very detailed, which can slow down the process of identifying issues. The UI is helpful, but complex pipelines can become harder to manage and visualize as they grow. Additionally, monitoring and cost tracking for large workloads requires careful attention, as pipeline executions and data movement activities can accumulate costs quickly.”_ - [Alan R.](https://www.g2.com/products/azure-data-factory/reviews/azure-data-factory-review-12454264), Azure Data Factory • **Scaling integrations or data volume increases operational management complexity** _“The pricing model can become expensive for large-scale queries without proper optimization and cost monitoring. The learning curve for advanced features and query optimization techniques requires time investment. Limited support for certain data types and occasional complexity in debugging nested queries could be improved for a better developer experience.”_ - [Alok K.](https://www.g2.com/products/google-cloud-bigquery/reviews/google-cloud-bigquery-review-12237841), Google Cloud BigQuery review ### My Expert Takeaway on ETL Tools in 2026 Looking across the review data, ETL solutions receive consistently strong sentiment, with an average rating of **4.61/5 stars and a 9.22/10 likelihood to recommend**. That tells me most teams see clear value once their pipelines are operational. ETL tools have quietly become core infrastructure for modern data environments, especially as organizations connect more SaaS applications, warehouses, and analytics systems. What I notice most in the reviews is that teams rarely evaluate ETL platforms only on integrations. Instead, reliability and automation come up repeatedly. Users want pipelines that run consistently without constant monitoring or manual fixes. When pipelines break or debugging becomes difficult, it quickly impacts reporting workflows and downstream analytics. Another pattern I see is that successful teams treat ETL software as shared infrastructure rather than an isolated engineering tool. Data engineers may design pipelines, but analysts and operations teams often rely on them daily. Platforms that simplify pipeline visibility, monitoring, and maintenance tend to make collaboration easier across teams. Industry usage patterns also suggest that organizations with growing data environments benefit the most from mature ETL workflows. For buyers evaluating the best ETL tools, the biggest differentiator often comes down to how well a platform keeps pipelines stable and manageable as data complexity grows. ### ETL Tools FAQs #### What are the best free ETL tools for developers? Many platforms offer open-source components, limited free tiers, or trial versions that developers use to build and test pipelines. Common options include: - [dbt](https://www.g2.com/products/dbt/reviews) **:** An open-source framework used by data teams to transform and model data directly inside data warehouses. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Offers a limited free usage tier that allows developers to run queries and build data pipelines at small scale. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A serverless data integration service commonly used for large-scale pipelines, typically accessed through free trial credits or limited testing environments. Developers often use these tools to prototype data pipelines before scaling to production workloads. #### What are the best no-code or low-code ETL tools? No-code and low-code ETL tools simplify pipeline creation through visual workflows and prebuilt integrations. Examples include: - [Workato](https://www.g2.com/products/workato/reviews): Known for its automation platform and extensive connector ecosystem that simplifies integration workflows. - [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews): Uses a visual interface and prebuilt connectors to help teams design data pipelines without heavy coding. - [Alteryx](https://www.g2.com/products/alteryx/reviews): Offers a drag-and-drop workflow builder designed for analysts working with data preparation and transformation. These platforms allow data teams to manage pipelines without relying heavily on engineering resources. #### Which ETL services offer strong security features? Organizations handling sensitive data often prioritize ETL tools that offer strong governance, access controls, and compliance capabilities. Platforms commonly used in secure environments include: - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews): Integrates with Microsoft’s identity and security framework for controlled data pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Supports secure data processing with built-in encryption and governance capabilities. - [AWS Glue](https://www.g2.com/products/aws-glue/reviews): Provides role-based access controls and integration with AWS security services. These platforms help organizations maintain secure data movement across complex environments. #### What’s the leading ETL app for big data analysis? For large-scale analytics workloads, organizations often use ETL tools that integrate directly with modern data platforms. Common choices include: - [Databricks](https://www.g2.com/products/databricks/reviews): Designed for large-scale data engineering, analytics, and machine learning pipelines. - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews): Enables large-scale data processing and analytics within a cloud data warehouse environment. - [Fivetran](https://www.g2.com/products/fivetran/reviews): Automates high-volume data ingestion into cloud warehouses for analytics and reporting. These platforms support large datasets and complex transformation workflows. #### What are the different types of ETL tools? ETL tools generally fall into four categories: - **Open-source ETL tools** : Flexible frameworks for custom pipeline development. - **Cloud-based ETL platforms** : Managed services that automate data pipelines. - **No-code or low-code ETL tools** : Visual workflow tools for non-engineering teams. - **Enterprise ETL solutions** : Platforms built for governance, monitoring, and large-scale data environments. Each category supports different technical needs and levels of pipeline complexity. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) Researched By: [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Last updated on March 16, 2026