# Best ETL Tools - Page 8 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Databricks is the top-ranked ETL tool in 2026, rated 4.6 out of 5 on G2 based on 1,300+ verified reviews. Celigo stands out as the highest-rated option at 4.7 stars, particularly favored by NetSuite-centric organizations seeking seamless app integration and ease of use. 1. Databricks — 4.6/5 (1,300+ reviews): Unified lakehouse pipelines with governance and ML workflows 2. Celigo — 4.6/5 (1,000+ reviews): NetSuite-centered app integration and sync 3. Google Cloud BigQuery — 4.5/5 (1,200+ reviews): Serverless analytics on large cloud datasets 4. Alteryx — 4.6/5 (800+ reviews): Drag-and-drop data prep and reporting automation 5. IBM watsonx.data — 4.4/5 (100+ reviews): Lakehouse querying across object storage *Updated June 2026. Based on 2026 G2 verified review data across 1,780 products.* 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. ## 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 (1,284 reviews) | Unified lakehouse pipelines with governance and ML workflows | "[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)" | | 2 | [Celigo](https://www.g2.com/products/celigo/reviews) | 4.6/5.0 (1,018 reviews) | NetSuite-centered app integration and sync | "[Go for it if you’re looking for a solid integration platform](https://www.g2.com/survey_responses/celigo-review-11876505)" | | 3 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,145 reviews) | Serverless analytics on large cloud datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 4 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (830 reviews) | Drag-and-drop data prep and reporting automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 5 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Lakehouse querying across object storage | "[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)" | | 6 | [FME Platform](https://www.g2.com/products/fme-platform/reviews) | 4.6/5.0 (124 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 (782 reviews) | Managed connector-based data ingestion | "[Trouble-Free Data Pipelines with Effortless Connections to Nearly Every Service](https://www.g2.com/survey_responses/fivetran-review-12999542)" | | 8 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (999 reviews) | Self-service ETL feeding business dashboards | "[Interactive Real-Time Dashboards That Make Complex Data Easy](https://www.g2.com/survey_responses/domo-review-13003120)" | | 9 | [Workato](https://www.g2.com/products/workato/reviews) | 4.7/5.0 (749 reviews) | Low-code workflow automation across SaaS apps | "[Workato helps us building complex integrations at lightning speed.](https://www.g2.com/survey_responses/workato-review-10305521)" | | 10 | [Skyvia](https://www.g2.com/products/skyvia/reviews) | 4.8/5.0 (327 reviews) | No-code CRM sync, backup, and scheduled ETL | "[Quick Data Connections Without Engineering Overhead](https://www.g2.com/survey_responses/skyvia-review-13059498)" | --- ## What Are the Most Common Questions About ETL Tools? *AI-generated · Last updated: May 26, 2026* ### How to evaluate ETL tools based on performance and transformation logic? Based on G2 reviews, buyers evaluating ETL tools for performance and transformation logic should focus on how well platforms handle large data volumes, connect multiple sources, and support dependable transformations without excessive manual work. According to verified users, strong options are often described as fast, scalable, and capable of simplifying complex workflows while supporting SQL, APIs, batch jobs, or real-time processing. G2 reviewers mention that practical evaluation also comes down to how easy pipelines are to debug, how clearly data flows can be monitored, and whether transformations can be reused or automated. Reviews also consistently call out tradeoffs such as steep learning curves, slow troubleshooting, or heavy resource use, so teams should weigh speed and flexibility against maintainability. ### What best ETL platforms with version control and team collaboration features? Based on G2 reviews, Databricks stands out strongly for ETL teams that want version-aware development and collaboration in one environment. According to verified users, Databricks is frequently praised for shared notebooks, Git-based repo sync, CI/CD support, and a workspace that helps engineers, analysts, and data teams work together on pipelines, transformations, and analytics. G2 reviewers mention that these collaboration features help reduce coordination overhead and make onboarding easier, especially when multiple users are working across notebooks and workflows. At the same time, reviewers also note tradeoffs such as workspace sprawl, UI complexity at scale, and the need for discipline around administration and cost control. Overall, recent reviews point to Databricks as the clearest single-product leader here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for shared notebooks, Git-based repo sync, collaborative ETL workflows, and centralized pipeline development ### How to choose an ETL platform for multi-source data integration? Based on G2 reviews, the best way to choose an ETL platform for multi-source data integration is to look for evidence that users successfully connect databases, SaaS apps, cloud storage, APIs, spreadsheets, and warehouses without heavy custom work. According to verified users, buyers should prioritize broad connector coverage, strong transformation options, scheduling, and reliability once pipelines are live. G2 reviewers mention that teams also care about how easily data can be standardized from fragmented systems into a single reporting or analytics layer. Reviews repeatedly highlight practical concerns such as debugging difficulty, documentation quality, and connector maturity, especially for edge cases. A strong fit is usually a platform that reduces manual exports, centralizes data movement, and keeps downstream reporting consistent. ### Where to buy ETL tools with flexible pricing for startups and enterprises? Based on G2 reviews, buyers looking for ETL tools with flexible pricing should compare platforms on how predictable costs remain as usage grows, not just on entry price. According to verified users, some tools are valued because they avoid forcing separate purchases for every workflow, while others are praised for fair monthly pricing, startup-friendly plans, or capacity-based structures that make budgeting easier. G2 reviewers mention that pricing friction often appears when usage scales, connectors are gated, or cost models become hard to forecast. For startup and enterprise buyers alike, the practical signal is whether teams feel they can expand integrations without constant pricing surprises. Reviews suggest prioritizing platforms described as affordable, transparent, or cost-effective for real production use. **Here are some of the top-rated products on G2:** - [Skyvia](https://www.g2.com/products/skyvia/reviews) – favored by small and mid-sized teams for affordable no-code integrations and predictable data movement workflows - [Fivetran](https://www.g2.com/products/fivetran/reviews) – chosen for managed connector setup and reliability, though reviews often discuss cost planning as volume grows - [Celigo](https://www.g2.com/products/celigo/reviews) – used for expanding business integrations with low-code flows and reusable templates across systems ### Where to find cloud-native ETL platforms for modern data stacks? Based on G2 reviews, cloud-native ETL platforms for modern data stacks are typically the ones users describe as serverless, easy to integrate with cloud warehouses and storage, and well suited for SaaS-heavy environments. According to verified users, these products often support automated syncing into tools like Snowflake, BigQuery, Redshift, or cloud lakehouse environments while reducing infrastructure management. G2 reviewers mention that buyers should look for platforms praised for quick deployment, broad cloud connectors, scheduling, and compatibility with modern analytics workflows. Reviews also show that the best cloud-native fit depends on whether your team prioritizes low maintenance, open-source flexibility, or warehouse-centric transformation. In practice, users favor platforms that shorten setup time and keep pipelines dependable at scale. ### Which ETL tools support real-time streaming data processing? Based on G2 reviews, Databricks is the clearest match for ETL buyers who need support for real-time or near real-time data processing. According to verified users, Databricks is repeatedly used for streaming alongside batch workloads, with reviewers highlighting scalable Spark-based processing, unified pipeline management, and strong support for handling large or continuously changing datasets. G2 reviewers mention that the platform helps teams bring ETL, analytics, and data engineering into one environment, which is valuable when streaming workflows need to feed downstream reporting or operational systems. Reviewers also note tradeoffs such as cluster startup delays, debugging complexity, and cost monitoring requirements, but recent review volume still makes Databricks the strongest single-winner answer here. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for both batch and real-time workflows, scalable Spark processing, and unified ETL plus analytics pipelines ### What best ETL software for building scalable data pipelines? Based on G2 reviews, the strongest ETL software for scalable data pipelines is usually the one users trust for large workloads, multi-source ingestion, and long-running production workflows without constant manual fixes. According to verified users, common strengths include handling high data volumes, integrating cloud services and warehouses, automating scheduling, and supporting reusable pipeline logic. G2 reviewers mention that scalability is not just raw performance; it also depends on monitoring, governance, ease of updates, and whether teams can keep pipelines maintainable as usage grows. Reviews consistently call out Databricks, Fivetran, and FME Platform as examples of tools used for scalable pipelines, though buyers should compare complexity, connector depth, and cost discipline against their own environment. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used for scalable Spark-based pipelines, unified ETL workflows, and high-volume analytics processing - [Fivetran](https://www.g2.com/products/fivetran/reviews) – used for managed ingestion pipelines from many SaaS sources into cloud warehouses with low maintenance - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for large multi-format workflows, automated transformations, and reliable enterprise-scale data movement ### Who offers ETL tools with low-code interface and drag-and-drop builders? Based on G2 reviews, several ETL vendors offer low-code interfaces and drag-and-drop builders aimed at making integration work easier for both technical and less technical teams. According to verified users, these tools are especially valued when they reduce scripting needs, speed up pipeline creation, and make workflows easier to explain or maintain. G2 reviewers mention visual builders, reusable templates, and no-code automation as recurring strengths across multiple products. At the same time, reviews show that low-code does not always mean simple at scale, since debugging, customization, or advanced logic can still introduce complexity. Buyers should look for products whose reviews specifically mention intuitive workflow design, easier onboarding, and broad integration support. **Here are some of the top-rated products on G2:** - [FME Platform](https://www.g2.com/products/fme-platform/reviews) – used for visual workflow building, drag-and-drop transformations, and automation across many systems and formats - [Workato](https://www.g2.com/products/workato/reviews) – used for low-code recipe building, connector-based integrations, and workflow automation across business apps - [Celigo](https://www.g2.com/products/celigo/reviews) – used for low-code integration flows, prebuilt templates, and automating ERP, ecommerce, and SaaS workflows ### What ETL solutions support automated error handling and retries? Based on G2 reviews, ETL solutions that support automated error handling and retries are usually the ones users describe as reliable in production and strong at surfacing failures before they disrupt downstream reporting. According to verified users, these platforms often include retry logic, monitoring, alerts, or workflow controls that reduce the need for manual intervention. G2 reviewers mention detailed error visibility as a major advantage in products like Celigo, Fivetran, and Workato, especially when teams need to manage frequent integrations across multiple systems. Reviews also note that not every product is equally transparent when something breaks, so buyers should look beyond automation claims and evaluate how easy it is to identify, retry, and resolve failures in real workflows. ### Which ETL tools integrate with popular data lakes and data warehouses? Based on G2 reviews, Databricks is the strongest single answer for ETL tools that integrate with popular data lakes and data warehouses. According to verified users, Databricks is repeatedly used in environments that combine lakehouse architecture, cloud storage, external warehouses, and downstream analytics tools. G2 reviewers mention integrations with platforms such as BigQuery, Snowflake, cloud ecosystems, BI tools, and governed data layers, all within a unified workflow for ETL, analytics, and machine learning. Reviewers also highlight that the platform reduces fragmentation by bringing multiple workloads into one environment, though they note that cost management and complexity still require attention. For buyers prioritizing broad lake and warehouse alignment, Databricks appears most consistently in recent review evidence. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used with lakehouse architectures, cloud storage, external warehouses, and BI ecosystems in one ETL environment ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 250 ### Category Stats (Jul 2026) - **Average Rating**: 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.18%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 02, 2026* ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,000+ Authentic Reviews - 250+ 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. ## Which ETL Tools Is Best for Your Use Case? - **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Highest Performer:** [5X](https://www.g2.com/products/5x/reviews) - **Easiest to Use:** [Skyvia](https://www.g2.com/products/skyvia/reviews) - **Top Trending:** [Matia](https://www.g2.com/products/matia/reviews) - **Best Free Software:** [Fivetran](https://www.g2.com/products/fivetran/reviews) --- **Sponsored** ### Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. [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%5Bchosen_at%5D=2026-07-04T15%3A37%3A14Z&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=1886&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%3D8&secure%5Btoken%5D=38fb74c51dfd5f284bb113bd6c5eced53884a64a7fba64295e563efcd05d5631&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated ETL Tools Products in 2026? ### 1. [Nirvana](https://www.g2.com/products/distilled-data-inc-nirvana/reviews) Nirvana Integration Platform, by Distilled Data. The Easiest, Fastest and Most Budget Friendly Integration Solution. What Makes our NetSuite Connector The Best? We have custom built our NetSuite connector to utilize SOAP, REST and SuiteQL interfaces. But it goes a lot further than that.​ We have mastered NetSuite's API integration capabilities. Not every object is available in NetSuite's interfaces. Some objects are accessible via SOAP, some are in REST and if you want really fast data extraction from NetSuite, we use NetSuite's query language SuiteQL. We are the only solution which has studied, tested, vetted and continuously improves this magical recipe. We are the Michelin Star Chefs of the NetSuite extraction interfaces. http://distilleddata.io **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Nirvana?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Nirvana?** - **Seller:** [Distilled Data](https://www.g2.com/sellers/distilled-data-e6a63df1-f1e4-4479-8c9b-d4ae64df2949) - **Year Founded:** 2020 - **HQ Location:** San Rafael, US - **Twitter:** @distilleddata (2 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/distilleddata (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of Nirvana? **"[Great support](https://www.g2.com/survey_responses/nirvana-review-7240447)"** **Rating:** 5.0/5.0 stars *— Jaro S.* [Read full review](https://www.g2.com/survey_responses/nirvana-review-7240447) --- **"[Excellent Support](https://www.g2.com/survey_responses/nirvana-review-7276720)"** **Rating:** 5.0/5.0 stars *— David Z.* [Read full review](https://www.g2.com/survey_responses/nirvana-review-7276720) --- ### 2. [Note API Connector](https://www.g2.com/products/note-api-connector/reviews) Note API Connector helps you to import and sync data from any API into Notion. No coding required. You can pull in live data from any app or online service and instantly sync it with Notion. Track project updates, fetch financial reports, or keep up with stock prices—automatically. With scheduled runs, you can automate data imports into Notion at your preferred intervals. Whether it's every hour, every 5 minutes, or at custom times, your Notion workspace will always stay up to date. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Note API Connector?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Note API Connector?** - **Seller:** [Note API Connector](https://www.g2.com/sellers/note-api-connector) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Note API Connector's Pros and Cons? **Pros:** - API Integration (1 reviews) - Automation (1 reviews) - Customer Support (1 reviews) - Ease of Use (1 reviews) - Helpful (1 reviews) **Cons:** - Limited Customization (1 reviews) ### What Do G2 Reviewers Say About Note API Connector? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **easy API integration** of Note API Connector, efficiently automating workflows and saving valuable time. - Users love the **automation capabilities** of Note API Connector, significantly saving time and simplifying workflow integration. - Users appreciate the **responsive and helpful customer support** of Note API Connector, enhancing their integration experience. - Users appreciate the **ease of use** of Note API Connector, facilitating quick integration and seamless workflow automation. - Users appreciate the **user-friendly and quick implementation** of Note API Connector, enhancing workflow efficiency effortlessly. **Cons:** - Users desire more flexibility due to **limited UI customization options** , affecting data presentation on the platform. #### What Are Recent G2 Reviews of Note API Connector? **"[Great for developers and analysts](https://www.g2.com/survey_responses/note-api-connector-review-11080429)"** **Rating:** 5.0/5.0 stars *— Mortaza Mohammed M.* [Read full review](https://www.g2.com/survey_responses/note-api-connector-review-11080429) --- ### 3. [Pipestream](https://www.g2.com/products/pipestream/reviews) Pipestream is a powerful data pipeline tool that connects your website with BigQuery through Google Analytics to capture real-time hits in the shortest, fastest way possible, within 60 seconds. Pipestream enables you to capture unsampled raw first party data directly into your BigQuery data warehouse powering your business with agility to respond to market trends, personalise user experience, identify anomalies and report campaign performance in real-time. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Pipestream?** - **Seller:** [Tatvic Analytics Pvt. Ltd](https://www.g2.com/sellers/tatvic-analytics-pvt-ltd) - **Year Founded:** 2021 - **HQ Location:** Ahmedabad, Gujarat - **Twitter:** @Tatvic (998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/80117538 (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Pipestream? **"[Fast, easy and best!](https://www.g2.com/survey_responses/pipestream-review-4849535)"** **Rating:** 5.0/5.0 stars *— Ram V.* [Read full review](https://www.g2.com/survey_responses/pipestream-review-4849535) --- #### What Are G2 Users Discussing About Pipestream? - [What is Pipestream used for?](https://www.g2.com/discussions/what-is-pipestream-used-for) ### 4. [Precisely Connect](https://www.g2.com/products/precisely-connect/reviews) Enable real time decisions with Precisely Connect. Seamlessly integrate data from legacy systems into modern cloud and data platforms for faster, more confident action. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Precisely Connect?** - **Automation:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Precisely Connect?** - **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55) - **HQ Location:** Burlington, Massachusetts - **Twitter:** @PreciselyData (3,963 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64863146/ (3,006 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Precisely Connect? **"[Easy to Learn, Quick to Build](https://www.g2.com/survey_responses/precisely-connect-review-12605025)"** **Rating:** 4.5/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/precisely-connect-review-12605025) --- ### 5. [Rayven](https://www.g2.com/products/rayven/reviews) What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average). **Average Rating:** 4.9/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Rayven?** - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Rayven?** - **Seller:** [Rayven](https://www.g2.com/sellers/rayven) - **Year Founded:** 2016 - **HQ Location:** Sydney, AU - **Twitter:** @RayvenIOT (56 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rayveniot/ (33 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 69% Mid-Market, 52% Small-Business #### What Are Rayven's Pros and Cons? **Pros:** - Ease of Use (61 reviews) - Features (49 reviews) - Automation (44 reviews) - Customization (42 reviews) - Data Management (36 reviews) **Cons:** - Learning Curve (32 reviews) - Difficult Learning (30 reviews) - Learning Difficulty (25 reviews) - Complex Setup (21 reviews) - Setup Complexity (19 reviews) ### What Do G2 Reviewers Say About Rayven? *AI-generated summary from verified user reviews* **Pros:** - Users find Rayven's **ease of use** exceptional, simplifying automation and integration with intuitive drag-and-drop tools. - Users appreciate Rayven's **robust real-time data handling** and advanced AI capabilities for operational efficiency and flexibility. - Users value the **automation capabilities** of Rayven, enabling seamless integration and real-time data tracking for enhanced efficiency. - Users value Rayven's **customization capabilities** , allowing tailored solutions for seamless integration and enhanced operational efficiency. - Users commend Rayven for its **robust data management capabilities** , ensuring efficient operations with minimal latency and high reliability. **Cons:** - Users experience a **steep learning curve** due to complex configurations, making initial setup overwhelming for beginners. - Users find the **difficult learning curve** with Rayven challenging, requiring time and support for effective usage. - Users experience a **steep initial learning curve** with Rayven, requiring time and support for effective onboarding. - Users find the **complex setup** of Rayven challenging, especially for advanced features and multi-site deployments. - Users find the **setup complexity** challenging, requiring significant time and technical knowledge for optimal configuration. #### What Are Recent G2 Reviews of Rayven? **"[Seamless Automation and Predictive Maintenance with Rayven](https://www.g2.com/survey_responses/rayven-review-12211094)"** **Rating:** 5.0/5.0 stars *— Keith N.* [Read full review](https://www.g2.com/survey_responses/rayven-review-12211094) --- **"[Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps](https://www.g2.com/survey_responses/rayven-review-11780301)"** **Rating:** 5.0/5.0 stars *— John M.* [Read full review](https://www.g2.com/survey_responses/rayven-review-11780301) --- ### 6. [Streamkap](https://www.g2.com/products/streamkap/reviews) Streamkap is a change data capture platform for syncing data in real-time from databases to a number of destinations including data warehouses, data lakes and real-time destinations. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Streamkap?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) **Who Is the Company Behind Streamkap?** - **Seller:** [Streamkap, Inc](https://www.g2.com/sellers/streamkap-inc) - **Year Founded:** 2022 - **HQ Location:** San Francisco, US - **Twitter:** @Streamkap (96 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/streamkap (15 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Streamkap? **"[Streamlining Real-Time Data for Fashion E-Commerce Innovation](https://www.g2.com/survey_responses/streamkap-review-9302471)"** **Rating:** 5.0/5.0 stars *— Michael V.* [Read full review](https://www.g2.com/survey_responses/streamkap-review-9302471) --- **"[Efficiently transformed data streams, seamlessly fueling a real-time recommendations engine.](https://www.g2.com/survey_responses/streamkap-review-9148650)"** **Rating:** 5.0/5.0 stars *— Anil K.* [Read full review](https://www.g2.com/survey_responses/streamkap-review-9148650) --- ### 7. [Unisys Data Exchange](https://www.g2.com/products/unisys-data-exchange/reviews) Unisys Data Exchange is data integration software that is designed to help organizations address these issues. It is available as a software option for ClearPath MCP and ClearPath OS 2200 servers. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Unisys Data Exchange?** - **Automation:** 10.0/10 (Category avg: 9.0/10) - **Scalability:** 10.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Unisys Data Exchange?** - **Seller:** [Unisys](https://www.g2.com/sellers/unisys) - **HQ Location:** Blue Bell, PA - **Twitter:** @unisys (33,730 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/unisys (23,300 employees on LinkedIn®) - **Ownership:** NYSE:UIS - **Total Revenue (USD mm):** $2,820 **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Unisys Data Exchange? **"[Safe and Secured Data Sharing using UDE (Unisys Data Exchange)](https://www.g2.com/survey_responses/unisys-data-exchange-review-8281171)"** **Rating:** 5.0/5.0 stars *— Asif I.* [Read full review](https://www.g2.com/survey_responses/unisys-data-exchange-review-8281171) --- ### 8. [1Platform](https://www.g2.com/products/1platform/reviews) 1Platform by Polestar Analytics is a unified, low-code data intelligence ecosystem that transforms enterprise data management through its powerful orchestration engine, AI capabilities, and comprehensive analytics portal. Built with a no-code platform for data engineering, it seamlessly integrates 100+ data sources while providing automated data lake acceleration, historical data migration, and comprehensive data quality scorecards with execution logs for complete governance. What sets 1Platform apart is its ability to deliver actionable intelligence at scale through unified insights access, agentic and generative AI capabilities that go beyond data summarization to extract additional insights and advanced preloaded, scalable and customisable LLM and reasoning models reducing time and talent requirement. The platform operates through a single, intuitive interface across any cloud environment with modular, plug-and-play architecture, featuring access-based configuration for analytics, dashboard management, and a comprehensive notifications hub for tracking key activities. Backed by 350+ successful clients, 1,000+ implementations, and an exceptional 87% repeat business rate across 20+ global markets, Polestar Analytics delivers the agility, speed, and intelligence that modern enterprises demand to maintain their competitive edge. **Who Is the Company Behind 1Platform?** - **Seller:** [Polestar Analytics](https://www.g2.com/sellers/polestar-analytics) - **Year Founded:** 2012 - **HQ Location:** Plano, US - **Twitter:** @PolestarLLP (508 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/polestarsolutions%26services (634 employees on LinkedIn®) ### 9. [Ainsys](https://www.g2.com/products/ainsys-ainsys/reviews) AINSYS (Amazingly Integrated Systems) is a no-code integration framework as a service that streamlines the process of creating, editing, and testing data pipelines. Our unique software architecture merges the functionalities of an enterprise data warehouse, service bus, master data management, and requirement management system into one powerful, user-friendly platform. **Who Is the Company Behind Ainsys?** - **Seller:** [Ainsys](https://www.g2.com/sellers/ainsys) - **Year Founded:** 2020 - **HQ Location:** London, GB - **LinkedIn® Page:** http://www.linkedin.com/company/amazingly-integrated-systems (11 employees on LinkedIn®) ### 10. [Arcion](https://www.g2.com/products/arcion/reviews) Schema incompatibility is one of the biggest challenges to true data mobility and with Arcion, it’s a thing of the past. **Who Is the Company Behind Arcion?** - **Seller:** [Arcion](https://www.g2.com/sellers/arcion) - **HQ Location:** San Francisco, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/databricks (11,628 employees on LinkedIn®) ### 11. [BlazingDB](https://www.g2.com/products/blazingdb/reviews) BlazingDB is a high performance GPU database that makes big data SQL fast on GPUs **Who Is the Company Behind BlazingDB?** - **Seller:** [Blazingdb](https://www.g2.com/sellers/blazingdb) - **Year Founded:** 2015 - **HQ Location:** Houston, US - **LinkedIn® Page:** https://www.linkedin.com/company/blazing/ (2 employees on LinkedIn®) ### 12. [Conecta HUB](https://www.g2.com/products/conecta-hub/reviews) Conecta HUB is an ETL integration platform ideal for process automation. Over 90 native connectors for all leading ERP, such as Sage, SAP, Business Central and Ecommerce platforms such as PrestaShop, Shopify and Magento with ready to use templates for simple and complex business processes, including B2B and B2C. Formatting, SQL and other necessary custumizations are available for advanced users. Conecta HUB works not just with cloud but also on-premise solutions. Real-time multi-source and multi-destination synchronization of structured and unstructured data.Optimizes security by not storing customer data, ensuring secure and private information management. **Who Is the Company Behind Conecta HUB?** - **Seller:** [Conecta Software](https://www.g2.com/sellers/conecta-software) - **Year Founded:** 2013 - **HQ Location:** Santa Cruz de Tenerife, ES - **Twitter:** @ConectaSoftware (372 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/conecta-software (22 employees on LinkedIn®) ### 13. [CONVAYR](https://www.g2.com/products/convayr/reviews) An Integration Solution You Can Afford. Integrate the systems within your business. Access the full target system schemas to map and transform the source data on a scheduled or ad hoc basis. Powerful mapping capabilities allow the transformation of data, including querying the target system in the mapping to enable any transformation imaginable into the target systems. Full cron scheduling of jobs including customisable system downtime, dependencies between connections and deployment via email to allow self-service within the business. **Who Is the Company Behind CONVAYR?** - **Seller:** [CONVAYR](https://www.g2.com/sellers/convayr) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 14. [Crosser](https://www.g2.com/products/crosser/reviews) Crosser designs and develops a hybrid-first Streaming Analytics & Integration software for any Cloud, On-premise or Edge. The Crosser Platform enables real-time processing of streaming, event-driven or batch data for Intelligent Pipelines & Automations and for Industrial IoT. All managed from a single Control Center and powered by a low-code and low-effort experience. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Crosser?** - **Seller:** [Crosser - IoT Edge Streaming Analytics](https://www.g2.com/sellers/crosser-iot-edge-streaming-analytics) - **Year Founded:** 2016 - **HQ Location:** Stockholm, SE - **Twitter:** @crossertech (968 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10926631 (23 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Enterprise #### What Are Recent G2 Reviews of Crosser? **"[Very helpful tool for streaming analytics on cloud](https://www.g2.com/survey_responses/crosser-review-9738458)"** **Rating:** 4.0/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/crosser-review-9738458) --- **"[Most likely the easiest way to distribute streaming processing for Industrial IoT](https://www.g2.com/survey_responses/crosser-review-10025450)"** **Rating:** 5.0/5.0 stars *— Verified User in Manufacturing* [Read full review](https://www.g2.com/survey_responses/crosser-review-10025450) --- ### 15. [Data Explorer](https://www.g2.com/products/data-explorer/reviews) Data Integration and Universal Database Development IDE. Data Explorer allows you to create complex data integration and ETL scenarios using drag&drop visual designer and scripting languages such as JavaScript. The universal database development IDE is integrated right into Data Explorer. It works equally well with SQL and NoSQL data sources, as well as popular file formats and APIs. **Who Is the Company Behind Data Explorer?** - **Seller:** [Toolsverse](https://www.g2.com/sellers/toolsverse) - **HQ Location:** N/A - **Twitter:** @toolsverse (58 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 16. [Dataform](https://www.g2.com/products/dataform/reviews) Dataform helps analysts manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL processing pipelines in a few minutes. **Who Is the Company Behind Dataform?** - **Seller:** [Dataform](https://www.g2.com/sellers/dataform) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 17. [Datagator](https://www.g2.com/products/datagator/reviews) Datagator protects data at rest, in a database. This is an Extract, Transform, Load (ETL) solution that protects large amounts of data (up to petabytes) being moved from a source to a target **Who Is the Company Behind Datagator?** - **Seller:** [eXate](https://www.g2.com/sellers/exate) - **Year Founded:** 2015 - **HQ Location:** West End, GB - **LinkedIn® Page:** https://www.linkedin.com/company/exate-technology/ (29 employees on LinkedIn®) ### 18. [Data Migration Tools](https://www.g2.com/products/data-migration-tools/reviews) Built by the founding team at ClonePartner, Data-Migration-Tools.com provides an enterprise-grade suite of utilities designed to simplify complex system transitions. These tools are completely secure and work locally in your browser, meaning your data never leaves your system. Our Complete List of Nine Purpose Built Tools: CSV to SQL: Converts CSV dumps directly into optimized SQL INSERT statements. Vendor Evaluator: Provides a scorecard to compare external migration vendors and tools. COI and ROI Calculator: Computes the Cost of Inaction and highlights your potential migration savings. CSV to and from JSON: Offers bidirectional conversion for flat and nested data structures. XML to and from JSON: Parses legacy XML into modern JSON formats instantly. Data Profiler: Analyzes data quality by identifying null values and formatting errors. Helpdesk Evaluator: Finds the best support platform and plan for your specific business scale. Timeline Planner: Estimates your exact data migration duration based on overall volume. Helpdesk Migration Planner: Calculates precise timelines while identifying all migratable items. **Who Is the Company Behind Data Migration Tools?** - **Seller:** [ClonePartner](https://www.g2.com/sellers/clonepartner) - **Year Founded:** 2023 - **HQ Location:** Beaverton, US - **LinkedIn® Page:** https://www.linkedin.com/company/hireclonepartner/ (9 employees on LinkedIn®) ### 19. [Datuum.ai](https://www.g2.com/products/datuum-ai/reviews) Datuum is a no-code platform that uses AI to seamlessly integrate your data into any destination in a matter of minutes. Our platform is designed to simplify data integration for professionals of all levels by creating resilient connectors to various data sources, automatically discovering data, and mapping it to the final destination without any coding required. With Datuum, you can create a self-service onboarding experience for your customers and accelerate data operations, freeing up time to focus on insights that drive growth. Whether you're a seasoned data professional or a newcomer to the field, Datuum makes data management easier and more efficient. **Who Is the Company Behind Datuum.ai?** - **Seller:** [datuum.ai](https://www.g2.com/sellers/datuum-ai) - **Year Founded:** 2021 - **HQ Location:** Corte Madera, US - **Twitter:** @datuum_ai (67 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datuum/ (8 employees on LinkedIn®) ### 20. [DBF Comparer](https://www.g2.com/products/dbf-comparer/reviews) DBF Comparer is a safe and easy to use tool that IT specialists and casual users of DBF database files alike will find absolutely indispensable. **Who Is the Company Behind DBF Comparer?** - **Seller:** [Astersoft](https://www.g2.com/sellers/astersoft-375d7cde-9d31-4396-bc15-df26133e88f3) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 21. [DBMoto](https://www.g2.com/products/dbmoto/reviews) DBMoto software makes it easy to implement heterogeneous Data Replication, Change Data Capture, and Data Transformation capabilities ‚Äî without the need for consulting services. It supports all major databases including IBM DB2 (including i/AS400, LUW and z/OS). **Average Rating:** 4.3/5.0 **Total Reviews:** 2 **How Do G2 Users Rate DBMoto?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) **Who Is the Company Behind DBMoto?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Recent G2 Reviews of DBMoto? **"[one of the best solutions for replication](https://www.g2.com/survey_responses/dbmoto-review-5340797)"** **Rating:** 5.0/5.0 stars *— ala a.* [Read full review](https://www.g2.com/survey_responses/dbmoto-review-5340797) --- #### What Are G2 Users Discussing About DBMoto? - [What is DBMoto used for?](https://www.g2.com/discussions/what-is-dbmoto-used-for) ### 22. [DBSoftlab](https://www.g2.com/products/dbsoftlab/reviews) DBSoftlab is a software company specializing in data transformation and migration solutions. Their flagship product offers a comprehensive toolkit designed to facilitate seamless data migration across a wide array of database systems and file formats. With a focus on simplicity, efficiency, and speed, DBSoftlab aims to make complex data integration tasks accessible to users of varying technical expertise. Key Features and Functionality: - Extensive Migration Support: The toolkit supports over 256 migration methods, enabling data transfer between numerous platforms, including Oracle, SQL Server, MySQL, MariaDB, PostgreSQL, IBM DB2, Informix, Teradata, MS Access, MS Excel, Visual FoxPro, SQLite, Firebird, InterBase, dBase, Paradox, Lotus, CSV, Text Files, Mailbox, HTML, and any ODBC DSN. - User-Friendly Interface: A step-by-step wizard-driven GUI simplifies the migration process, allowing users to complete data transfers in just three steps without requiring advanced technical skills. - High Performance: The toolkit is optimized for speed, ensuring rapid data migration even with large datasets. - Comprehensive Data Handling: It manages large objects (LOBs, primary keys, indexes, foreign keys, default values, and auto-increment fields, while also supporting schema migrations across different database systems. - Customization and Flexibility: Users can modify table and field names, data types, lengths, default values, and apply data filters during the migration process. - Global Compatibility: The toolkit supports UNICODE and automates character set conversions between different encodings, such as UTF-8, LATIN, CP1250, and ASCII. Primary Value and User Solutions: DBSoftlab's migration toolkit addresses the challenges associated with data integration by providing a powerful yet easy-to-use solution for transferring data between diverse systems. It eliminates the need for manual data entry or complex scripting, reducing the risk of errors and saving valuable time. By supporting a wide range of databases and file formats, the toolkit ensures that organizations can maintain data consistency and integrity during migrations, facilitating smoother transitions and more efficient data management. **Who Is the Company Behind DBSoftlab?** - **Seller:** [VSKOL](https://www.g2.com/sellers/vskol) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 23. [Definite](https://www.g2.com/products/definite/reviews) Definite is an all-in-one data analytics platform that combines a managed data warehouse, ELT pipelines, semantic layer, and business intelligence in a single product. Teams connect data sources using 500+ pre-built connectors for CRMs, payment platforms, marketing tools, databases, and spreadsheets. Definite automatically ingests, stores, and models the data in a managed data warehouse powered by DuckDB. Users analyze data and build dashboards using Fi, an AI-powered analytics assistant. Fi translates natural language questions into SQL queries and returns visualizations, summaries, and insights without requiring technical expertise. Key capabilities: - Managed cloud data warehouse - 500+ pre-built data connectors and ELT pipelines - Semantic layer for reusable metrics and data modeling - AI-powered natural language querying (no SQL required) - Interactive dashboards and data visualizations - Automated reporting to Slack, email, and Google Sheets - Embeddable analytics and white-label dashboards Built for: Startups, small businesses, and lean data teams who need modern data analytics without managing a complex stack of tools like Snowflake, Fivetran, dbt, and Tableau. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Definite?** - **Seller:** [Definite](https://www.g2.com/sellers/definite) - **Year Founded:** 2023 - **HQ Location:** Wilmington, US - **LinkedIn® Page:** https://www.linkedin.com/company/definite-app (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Definite's Pros and Cons? **Pros:** - AI Integration (1 reviews) - API Integration (1 reviews) - Customization (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) ### What Do G2 Reviewers Say About Definite? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **AI analyst** for simplifying data inquiries, enhancing reliability and ease of integration. - Users find the **API integration seamless** , enabling quick setup and reliable data management across multiple platforms. - Users appreciate the **customization options** in Definite, enabling seamless integration of various tools for enhanced efficiency. - Users find Definite remarkably easy to set up, with **reliable data pipelines** and seamless integrations from day one. - Users find **easy integrations** with Definite allow for quick setup and reliable data pipelines from day one. #### What Are Recent G2 Reviews of Definite? **"[Effortless Setup and Powerful AI Analyst](https://www.g2.com/survey_responses/definite-review-12166664)"** **Rating:** 4.0/5.0 stars *— Trevor F.* [Read full review](https://www.g2.com/survey_responses/definite-review-12166664) --- ### 24. [Delman](https://www.g2.com/products/delman/reviews) Connect and unify your data from a combination of files, databases and apps, with just a few clicks. **Who Is the Company Behind Delman?** - **Seller:** [Delman](https://www.g2.com/sellers/delman) - **Year Founded:** 2018 - **HQ Location:** Jakarta Pusat, ID - **LinkedIn® Page:** https://www.linkedin.com/company/delman-io/ (14 employees on LinkedIn®) ### 25. [DLRunner](https://www.g2.com/products/dlrunner/reviews) DLRunner is a Salesforce Data Loader automating data loader jobs and archiving. **Who Is the Company Behind DLRunner?** - **Seller:** [3 Creeks Technologies](https://www.g2.com/sellers/3-creeks-technologies) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/3-creeks-technologies-llc/ (1 employees on LinkedIn®) ## What Is ETL Tools? [Cloud Data Integration Software](https://www.g2.com/categories/cloud-data-integration) ## What Software Categories Are Similar to ETL Tools? - [On-Premise Data Integration Software](https://www.g2.com/categories/on-premise-data-integration) - [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) - [Data Replication Software](https://www.g2.com/categories/data-replication) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Reverse ETL Software](https://www.g2.com/categories/reverse-etl) --- ## 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