# Best ETL Tools ## How Many ETL Tools Products Does G2 Track? **Total Products under this Category:** 254 ### Category Stats (Aug 2026) - **Average Rating:** 4.54/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Adeptia (+0.97%) - Among all products in this category, Adeptia recorded the largest rating increase compared to last month _Last updated: August 05, 2026_ ## How Does G2 Rank ETL Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 19,300+ Authentic Reviews - 254+ 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. ## G2 Grid® for ETL Tools ![G2 Grid® for ETL Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/etl-tools/grids.png?focus%5B%5D=10470&focus%5B%5D=23331&focus%5B%5D=989&focus%5B%5D=6073&focus%5B%5D=8076&focus%5B%5D=23920&focus%5B%5D=604&focus%5B%5D=1308796) Highlighted products: Databricks, Celigo, Alteryx, Google Cloud BigQuery, FME Platform, Fivetran, Domo, and IBM watsonx.data. Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=celigo&focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fme-platform&focus%5B%5D=fivetran&focus%5B%5D=domo&focus%5B%5D=ibm-watsonx-data) **Sponsored** ### Amazon DynamoDB Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice-based applications through a simple API. Customers enjoy the benefits of DynamoDB’s fully-managed service including broad compliance standards, security integration with AWS Identity and Access Management and numerous disaster recovery services. With DynamoDB Global Tables, customers have a 99.999% highly available, multi-Region, multi-active database supporting local reads and writes for globally distributed users. DynamoDB provides cost management features such as scale-to-zero, Time to Live (TTL) for aging data out, and multiple pricing models including a free tier. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1181&secure%5Bchosen_at%5D=2026-08-06T14%3A04%3A27Z&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=17357&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&secure%5Btoken%5D=b060a536e96227bb14c72265413aaeddde99721de82bf51bcc488ee49abb1e6c&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fdynamodb%2F%3Ftrk%3D48b70123-a3f9-4b1c-a18c-f58b526ec750%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url) ### [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,330 #### How Do G2 Users Rate Databricks? - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Automation:** 9.0/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 8.5/10 (Category avg: 8.1/10) #### Who Is the Company Behind Databricks? - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks 92,269 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website) 15,627 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Databricks? _AI-generated summary from verified user reviews_ ##### Pros - Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications. - Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services. - Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency. - Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights. - Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization. ##### Cons - Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability. - Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects. - Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools. - Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes. - Users face **complex setup** challenges initially, though support helps simplify the experience over time. #### What Are Recent G2 Reviews of Databricks? **["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)** **Rating:** 5.0/5.0 stars _— aravind k._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13198355) **["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)** **Rating:** 5.0/5.0 stars _— Diana C._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13181721) #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote - [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 - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### [Celigo](https://www.g2.com/products/celigo/reviews) Celigo puts intelligent automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform through a first-of-its-kind natural language interface. The platform is recognized by G2 as #1 in iPaaS and a Leader in API Management, API Marketplace, and EDI and is the only vendor named a 2025 Gartner® Peer Insights™ Customers’ Choice for iPaaS. Learn more at: celigo.com. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,067 #### How Do G2 Users Rate Celigo? - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **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 Celigo? - **Seller:** [Celigo](https://www.g2.com/sellers/celigo) - **Company Website:** www.celigo.com - **Year Founded:** 2011 - **HQ Location:** Redwood City, California - **Twitter:** @celigoinc 1,418 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=62d4b59e1d0308da646469c5a274beead8dbe6d3770aa75cd23cfb98ce47b859&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F275831%2F&secure%5Burl_type%5D=linkedin_company_website) 786 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** IT Manager, NetSuite Administrator - **Top Industries:** Retail, Consumer Goods - **Company Size:** 58% Medium, 37% Small #### What Do G2 Reviewers Say About Celigo? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** in Celigo, making integration management accessible for everyone, regardless of technical background. - Users value the **user-friendly integrations** of Celigo, appreciating its customizable solutions for diverse client needs. - Users value the **integration capabilities** of Celigo, enabling seamless connections with various APIs easily and efficiently. - Users value the **easy integrations** of Celigo, enabling seamless connectivity and enhanced functionality across systems. - Users value the **helpful and thorough customer support** provided by Celigo, ensuring effective assistance with customizations. ##### Cons - Users find **error handling challenging** with unclear messages and random issues that are difficult to track. - Users often remark on the **premium pricing** of Celigo, with costs increasing as more features are added. - Users find the **learning curve steep** , requiring time and effort to fully understand the platform's functionalities. - Users often face **complexity challenges** with Celigo, struggling with vague error messages and intricate integration processes. - Users report **premium pricing** can be confusing, especially with unexpected increases in contract renewals. #### What Are Recent G2 Reviews of Celigo? **["Seamless Integration with Exceptional Support"](https://www.g2.com/survey_responses/celigo-review-1996577)** **Rating:** 5.0/5.0 stars _— Steve B._ [Read full review](https://www.g2.com/survey_responses/celigo-review-1996577) **["A trusted integration partner for Shopify and ERP projects"](https://www.g2.com/survey_responses/celigo-review-13172761)** **Rating:** 5.0/5.0 stars _— Sergiu T._ [Read full review](https://www.g2.com/survey_responses/celigo-review-13172761) #### What Are G2 Users Discussing About Celigo? - [What is Celigo used for?](https://www.g2.com/discussions/what-is-celigo-used-for) ### [Alteryx](https://www.g2.com/products/alteryx/reviews) Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 857 #### How Do G2 Users Rate Alteryx? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Automation:** 9.7/10 (Category avg: 9.0/10) - **Scalability:** 9.2/10 (Category avg: 8.7/10) - **Auditing:** 10.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Alteryx? - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** www.alteryx.com - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx 26,149 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website) 2,304 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Financial Services, Accounting - **Company Size:** 63% Large, 21% Medium #### What Do G2 Reviewers Say About Alteryx? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Alteryx, finding it user-friendly and efficient for non-technical users. - Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis. - Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient. - Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience. - Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding. ##### Cons - Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups. - Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly. - Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility. - Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners. - Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx. #### What Are Recent G2 Reviews of Alteryx? **["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)** **Rating:** 4.5/5.0 stars _— Anushka S._ [Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742) **["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)** **Rating:** 4.5/5.0 stars _— Ihor B._ [Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637) ### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,144 #### How Do G2 Users Rate Google Cloud BigQuery? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.8/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Google Cloud BigQuery? - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google 31,899,995 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Large, 35% Medium #### 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 quick analysis of massive datasets without hassle. - Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly. - Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management. - Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets. - Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed. ##### Cons - Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses. - Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting. - Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges. - Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility. - Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques. #### What Are Recent G2 Reviews of Google Cloud BigQuery? **["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)** **Rating:** 4.0/5.0 stars _— Reetika P._ [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418) **["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 - [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment ### [FME Platform](https://www.g2.com/fr/products/fme-platform/reviews) FME est la seule plateforme d'intégration d'entreprise avec un support complet pour les données spatiales. La plateforme FME dispose d'un support intégré pour des milliers de systèmes ainsi que de plus de 800 transformateurs prêts à l'emploi, permettant aux utilisateurs de créer et d'automatiser des flux de travail d'intégration personnalisés sans avoir à coder. Que vos défis de données concernent les données spatiales, les big data, le traitement de flux, la migration vers le cloud ou l'intelligence d'affaires, FME est là pour vous aider à passer plus de temps à utiliser les données et moins de temps à les combattre. En savoir plus sur fme.safe.com **Average Rating:** 4.6/5.0 **Total Reviews:** 128 #### How Do G2 Users Rate FME Platform? - **the product a-t-il été un bon partenaire commercial?:** 8.9/10 (Category avg: 9.1/10) - **Automatisation:** 9.3/10 (Category avg: 9.0/10) - **Évolutivité:** 8.1/10 (Category avg: 8.7/10) - **Audit:** 8.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind FME Platform? - **Vendeur:** [Safe Software](https://www.g2.com/fr/sellers/safe-software) - **Site Web de l'entreprise:** fme.safe.com - **Année de fondation:** 1993 - **Emplacement du siège social:** British Columbia, Canada - **Twitter:** @SafeSoftware 4,972 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f51fda03ec1714e4e9b70cd5c252a3781277b1ecefb3ddfb641e6af2f11170f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F50027%2F&secure%5Burl_type%5D=linkedin_company_website) 346 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Analyste de données, Analyste SIG - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 47% Medium, 25% Small #### What Do G2 Reviewers Say About FME Platform? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient l' **interface conviviale** de la plateforme FME, rendant les flux de travail de données simples et efficaces à gérer. - Les utilisateurs apprécient la **gestion et l'intégration de données sans faille** de la plateforme FME, améliorant l'automatisation des flux de travail et l'efficacité. - Les utilisateurs apprécient les **capacités d'automatisation** de la plateforme FME, augmentant considérablement la productivité et rationalisant les flux de travail de données. - Les utilisateurs louent la plateforme FME pour son **interopérabilité exceptionnelle** , transformant efficacement divers formats de données dans des flux de travail automatisés. - Les utilisateurs apprécient les **capacités flexibles de transformation de données** de la plateforme FME, améliorant leur flux de travail avec une automatisation et une interopérabilité impressionnantes. ##### Cons - Les utilisateurs ont du mal avec la **complexité** de la plateforme FME, en particulier en ce qui concerne l'automatisation et la navigation dans l'interface utilisateur lors de situations sous pression. - Les utilisateurs expriment leur inquiétude concernant le **modèle de tarification coûteux** de la plateforme FME, ce qui rend difficile l'investissement pour les petites équipes. - Les utilisateurs ont du mal avec une **courbe d'apprentissage abrupte** , trouvant l'interface utilisateur intimidante et l'intégration des autres un défi important. - Les utilisateurs trouvent la **courbe d'apprentissage abrupte** de la plateforme FME difficile, rendant la navigation et la compréhension du logiciel compliquées. - Les utilisateurs expriment des préoccupations concernant les **problèmes de tarification** avec la plateforme FME, estimant qu'elle est trop chère pour les petites équipes et les individus. #### What Are Recent G2 Reviews of FME Platform? **["Automatisation puissante et flux de travail avec une intégration rapide"](https://www.g2.com/fr/survey_responses/fme-platform-review-13115305)** **Rating:** 4.5/5.0 stars _— Konjengbam M._ [Read full review](https://www.g2.com/fr/survey_responses/fme-platform-review-13115305) **["FME économise du temps avec un puissant ETL GIS et une automatisation"](https://www.g2.com/fr/survey_responses/fme-platform-review-12863747)** **Rating:** 4.5/5.0 stars _— Denise G._ [Read full review](https://www.g2.com/fr/survey_responses/fme-platform-review-12863747) #### What Are G2 Users Discussing About FME Platform? - [What does FME stand for in FME Server?](https://www.g2.com/fr/discussions/what-does-fme-stand-for-in-fme-server) - [Is FME an ETL?](https://www.g2.com/fr/discussions/is-fme-an-etl) - [What is FME process?](https://www.g2.com/fr/discussions/what-is-fme-process) - [What is FME software used for?](https://www.g2.com/fr/discussions/what-is-fme-software-used-for) ### [Domo](https://www.g2.com/fr/products/domo/reviews) La plateforme de produits d'IA et de données de Domo permet aux organisations de transformer les données en informations et solutions exploitables. Elle permet aux utilisateurs de connecter sans effort des sources de données diverses, de préparer les données pour leur utilisation et de générer des rapports et des visualisations dynamiques, le tout au sein d'une interface unique. Avec des capacités d'IA et d'automatisation intégrées, les équipes peuvent facilement créer et utiliser des agents d'IA, rationaliser les flux de travail et créer des solutions sur mesure. **Average Rating:** 4.3/5.0 **Total Reviews:** 1,042 #### How Do G2 Users Rate Domo? - **the product a-t-il été un bon partenaire commercial?:** 8.8/10 (Category avg: 9.1/10) - **Automatisation:** 8.5/10 (Category avg: 9.0/10) - **Évolutivité:** 7.9/10 (Category avg: 8.7/10) - **Audit:** 7.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Domo? - **Vendeur:** [Domo](https://www.g2.com/fr/sellers/domo) - **Site Web de l'entreprise:** www.domo.com - **Année de fondation:** 2010 - **Emplacement du siège social:** American Fork, UT - **Twitter:** @Domotalk 63,513 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website) 1,288 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Analyste de données, Analyste d'affaires - **Top Industries:** Logiciels informatiques, Marketing et publicité - **Company Size:** 49% Medium, 28% Large #### What Do G2 Reviewers Say About Domo? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **facilité d'utilisation** de Domo, ce qui le rend accessible à tous, même à ceux qui ne sont pas férus de technologie. - Les utilisateurs apprécient les **tableaux de bord flexibles** dans Domo, permettant une visualisation des données fluide à partir de diverses sources. - Les utilisateurs trouvent que la **conception intuitive** de Domo améliore la gestion des données et la prise de décision, la rendant accessible à tous les niveaux de compétence. - Les utilisateurs louent Domo pour ses **intégrations faciles** , permettant des connexions de données transparentes et améliorant l'efficacité de la gestion des données. - Les utilisateurs apprécient les capacités d' **intégration transparente** de Domo, améliorant la gestion des données à travers diverses plateformes et sources. ##### Cons - Les utilisateurs trouvent la **avec Domo, nécessitant souvent des ressources dédiées pour gérer les mises à jour et les fonctionnalités.** - Les utilisateurs ont du mal avec **les fonctionnalités manquantes** dans Domo, y compris des systèmes obsolètes et des capacités limitées dans les visualisations et les connecteurs. - Les utilisateurs sont frustrés par les **problèmes de gestion des données** , y compris les ajustements de téléchargement et la mauvaise organisation des ensembles de données dans Domo. - Les utilisateurs trouvent que Domo est **cher** en raison des coûts élevés associés aux fonctionnalités et aux besoins de conseil externe. - Les utilisateurs trouvent que la **complexité** de Domo est accablante, nécessitant une expertise technique et une configuration étendue qui compliquent l'expérience utilisateur. #### What Are Recent G2 Reviews of Domo? **["Domo transforme des rapports déconnectés en un tableau de bord des ventes révolutionnaire"](https://www.g2.com/fr/survey_responses/domo-review-13128007)** **Rating:** 5.0/5.0 stars _— Renee G._ [Read full review](https://www.g2.com/fr/survey_responses/domo-review-13128007) **["Tableaux de bord rapides et fiables avec des connexions de données rapides dans Domo"](https://www.g2.com/fr/survey_responses/domo-review-13150907)** **Rating:** 4.5/5.0 stars _— Katie S._ [Read full review](https://www.g2.com/fr/survey_responses/domo-review-13150907) #### What Are G2 Users Discussing About Domo? - [À quoi sert Domo ?](https://www.g2.com/fr/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/fr/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/fr/discussions/what-is-domo-data) - [Is Domo any good?](https://www.g2.com/fr/discussions/is-domo-any-good) - [What does Domo software do?](https://www.g2.com/fr/discussions/what-does-domo-software-do) ### [Fivetran](https://www.g2.com/products/fivetran/reviews) Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines. **Average Rating:** 4.3/5.0 **Total Reviews:** 805 #### How Do G2 Users Rate Fivetran? - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Automation:** 8.9/10 (Category avg: 9.0/10) - **Scalability:** 8.5/10 (Category avg: 8.7/10) - **Auditing:** 7.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Fivetran? - **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran) - **Company Website:** www.fivetran.com - **Year Founded:** 2012 - **HQ Location:** Oakland, CA - **Twitter:** @fivetran 5,767 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website) 1,848 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Medium, 27% Small #### What Do G2 Reviewers Say About Fivetran? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Fivetran, enjoying seamless integration and effortless maintenance post-setup. - Users appreciate the **easy setup** of Fivetran, making it straightforward to integrate with existing applications. - Users value the **easy integration** of Fivetran, enabling seamless connectivity with various applications and tools. - Users value the **responsive customer support** from Fivetran, enhancing their overall experience and satisfaction. - Users appreciate the **intuitive and simple layout** of Fivetran, making data management effortless and enjoyable. ##### Cons - Users experience **sync issues** with sporadic failures and confusion over usage quotas, complicating their workflow. - Users note that Fivetran's pricing is **quite expensive** , which limits accessibility for many potential users. - Users face **integration issues** with Fivetran, especially regarding schema ownership and modifying connections efficiently. - Users find the **learning curve steep** , requiring significant technical knowledge to effectively navigate the system initially. - Users consider Fivetran's **pricing issues** a barrier, wishing for lower costs and more flexible options for accessibility. #### What Are Recent G2 Reviews of Fivetran? **["No-Code, Self-Monitoring Pipelines with Connectors That Just Work"](https://www.g2.com/survey_responses/fivetran-review-13137995)** **Rating:** 5.0/5.0 stars _— Umesh ._ [Read full review](https://www.g2.com/survey_responses/fivetran-review-13137995) **["Fast, Reliable No-Code Data Integrations with Huge ROI"](https://www.g2.com/survey_responses/fivetran-review-13138238)** **Rating:** 4.5/5.0 stars _— Jose Maria P._ [Read full review](https://www.g2.com/survey_responses/fivetran-review-13138238) #### 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) - [How much does Fivetran cost?](https://www.g2.com/discussions/how-much-does-fivetran-cost) - 1 comment - [Is Fivetran an ETL tool?](https://www.g2.com/discussions/is-fivetran-an-etl-tool) - 2 comments ### [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial **Average Rating:** 4.4/5.0 **Total Reviews:** 167 #### How Do G2 Users Rate IBM watsonx.data? - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Automation:** 8.3/10 (Category avg: 9.0/10) - **Scalability:** 8.0/10 (Category avg: 8.7/10) - **Auditing:** 5.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind IBM watsonx.data? - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity 74,660 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 34% Small, 32% Large #### What Do G2 Reviewers Say About IBM watsonx.data? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of IBM watsonx.data, finding it reliable and efficient for data management tasks. - Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics. - Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly. - Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects. - Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making. ##### Cons - Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data. - Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies. - Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects. - Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations. - Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics. #### 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) **["Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)** **Rating:** 4.0/5.0 stars _— Aliasgar B._ [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444) ### [Workato](https://www.g2.com/products/workato/reviews) Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise. **Average Rating:** 4.7/5.0 **Total Reviews:** 747 #### How Do G2 Users Rate Workato? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Automation:** 9.2/10 (Category avg: 9.0/10) - **Scalability:** 9.0/10 (Category avg: 8.7/10) - **Auditing:** 8.3/10 (Category avg: 8.1/10) #### Who Is the Company Behind Workato? - **Seller:** [Workato](https://www.g2.com/sellers/workato) - **Company Website:** www.workato.com - **Year Founded:** 2013 - **HQ Location:** Mountain View, California - **Twitter:** @Workato 3,641 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=229b7e77382a8d2c3a0aeebe68dfc2316ea2caa6dd5d95ed0ee0d08884e6fc88&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675685&secure%5Burl_type%5D=linkedin_company_website) 1,401 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Medium, 33% Large #### What Do G2 Reviewers Say About Workato? _AI-generated summary from verified user reviews_ ##### Pros - Users find Workato to be **user-friendly and efficient** , allowing easy automation without technical expertise. - Users love the **easy integrations** offered by Workato, making automation between tools simple and efficient. - Users value the **ease of integrations** with Workato, appreciating its user-friendly interface and extensive pre-built connectors. - Users appreciate Workato's **user-friendly design and automation capabilities** , enhancing productivity and simplifying complex workflows. - Users love the **ease of automation** in Workato, saving hours by effortlessly integrating various tools and systems. ##### Cons - Users find the **complexity** of Workato daunting, especially regarding terminology and pricing structures that confuse newcomers. - Users find the **learning curve steep** , with complex workflows and overwhelming onboarding complicating initial use. - Users express frustration over **data limitations** in Workato, hindering email sends and file transfers for larger tasks. - Users find the **limited application library** of Workato restrictive, requiring manual setup for less common integrations. - Users face a **steep learning curve** with Workato, finding onboarding and initial setup quite overwhelming and complex. #### What Are Recent G2 Reviews of Workato? **["Workato helps us building complex integrations at lightning speed."](https://www.g2.com/survey_responses/workato-review-10305521)** **Rating:** 5.0/5.0 stars _— Sreenath B._ [Read full review](https://www.g2.com/survey_responses/workato-review-10305521) **["The Platform That Grew With Us"](https://www.g2.com/survey_responses/workato-review-12941177)** **Rating:** 5.0/5.0 stars _— Anshu b._ [Read full review](https://www.g2.com/survey_responses/workato-review-12941177) #### 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 - [What is Workato used for?](https://www.g2.com/discussions/what-is-workato-used-for) ### [Skyvia](https://www.g2.com/products/skyvia/reviews) Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others. **Average Rating:** 4.8/5.0 **Total Reviews:** 322 #### How Do G2 Users Rate Skyvia? - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Automation:** 9.4/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 9.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Skyvia? - **Seller:** [Devart](https://www.g2.com/sellers/devart) - **Year Founded:** 1997 - **HQ Location:** Wilmington, Delaware, USA - **Twitter:** @DevartSoftware 1,736 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=79979469a3bee56c782598382543e7a4af65b7f1bcf71aea7d9fde07241e81e6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F800325%2F&secure%5Burl_type%5D=linkedin_company_website) 249 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** CEO, CTO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Small, 42% Medium #### What Do G2 Reviewers Say About Skyvia? _AI-generated summary from verified user reviews_ ##### Pros - Users find Skyvia's **ease of use** remarkable, highlighting its intuitive interface for seamless data integration. - Users appreciate the **easy integrations** with a low-code interface, making complex data connections effortless and efficient. - Users highlight the **easy setup** of Skyvia, finding it intuitive and hassle-free for seamless data integration. - Users find the **initial setup easy** , enabling quick integrations without requiring coding skills or developer involvement. - Users appreciate the **easy integrations** Skyvia offers, enabling quick connections across multiple systems effortlessly and intuitively. ##### Cons - Users highlight a need for **expanded documentation and more detailed logs** to improve troubleshooting and job tracking. - Users find the **difficult setup** of Skyvia challenging due to its outdated interface and complex configurations. - Users find the **learning curve steep** due to complex configurations and a dense interface that requires time to master. - Users find the **poor documentation** of Skyvia lacking real-world examples, making integrations more complex and less intuitive. - Users find the **setup difficulty** with Skyvia can be complex, requiring time and effort for configuration and field 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 ### [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/fr/products/snaplogic-intelligent-integration-platform-iip/reviews) La plateforme SnapLogic est une solution d'intégration et d'automatisation agentique qui aide les équipes d'entreprise à connecter des applications, des sources de données et des API, et à orchestrer des flux de travail alimentés par l'IA à travers des environnements cloud et sur site. SnapLogic a son siège à San Mateo, en Californie. Fondée en 2006, l'entreprise sert des clients dans divers secteurs, notamment les services financiers, les produits pharmaceutiques, la fabrication, les logiciels et l'enseignement supérieur, avec des bureaux en Amérique du Nord, en Europe et en Asie-Pacifique. La plateforme est conçue pour les équipes informatiques, les ingénieurs de données et les spécialistes de l'intégration qui ont besoin de déplacer des données entre les systèmes, d'automatiser les processus métier et de gérer l'activité des agents IA à grande échelle. Elle prend en charge des cas d'utilisation tels que l'intégration d'applications, la gestion des pipelines de données, la gestion du cycle de vie des API, la modernisation des systèmes hérités et l'orchestration de l'IA d'entreprise. \*\*Les principales fonctionnalités et capacités de la plateforme SnapLogic incluent :\*\* - Constructeur de pipelines visuel et à faible code : Un concepteur par glisser-déposer qui permet aux équipes de créer, tester et déployer des intégrations sans écrire de code personnalisé, réduisant ainsi la dépendance aux ressources de développement. - Bibliothèque de connecteurs Snaps préconstruits : Plus de 1 000 connecteurs réutilisables pour les applications d'entreprise, les bases de données, les services cloud et les plateformes de données, configurables pour des modèles d'intégration simples et complexes. - SnapGPT : Un copilote IA intégré à la plateforme qui génère des pipelines d'intégration, suggère des mappages de données et aide au dépannage des pipelines en utilisant des entrées en langage naturel. - Gestion des API : Outils pour créer, publier, sécuriser et surveiller les API, permettant aux organisations d'exposer et de consommer des services de données à travers des systèmes internes et externes. - Automatisation des flux de travail agentique : Capacités pour concevoir et orchestrer des agents IA qui exécutent des processus métier en plusieurs étapes, avec un support natif pour le protocole de contexte de modèle (MCP) pour gérer les interactions des agents à travers les modèles et les outils. - Intégration et transformation des données : Support pour les pipelines de données par lots, en temps réel et en streaming avec des capacités de transformation, de mappage et d'enrichissement intégrées pour les données structurées et non structurées. - Surveillance et gouvernance centralisées : Un tableau de bord unifié pour suivre la performance des pipelines, gérer les contrôles d'accès et maintenir l'auditabilité de toutes les activités d'intégration et d'automatisation. La plateforme SnapLogic répond aux défis courants auxquels les organisations sont confrontées lorsqu'elles développent leurs opérations technologiques : données fragmentées à travers des systèmes déconnectés, coûts élevés de développement d'intégration et complexité du déploiement de l'IA dans des environnements réglementés ou critiques. En fournissant une plateforme unifiée pour l'intégration traditionnelle et l'automatisation agentique, elle réduit la dépendance aux connecteurs codés sur mesure et permet aux équipes de créer et de gérer des intégrations sans nécessiter une expertise approfondie en ingénierie logicielle. **Average Rating:** 4.4/5.0 **Total Reviews:** 375 #### How Do G2 Users Rate SnapLogic Intelligent Integration Platform (IIP)? - **the product a-t-il été un bon partenaire commercial?:** 8.8/10 (Category avg: 9.1/10) - **Automatisation:** 8.6/10 (Category avg: 9.0/10) - **Évolutivité:** 8.4/10 (Category avg: 8.7/10) - **Audit:** 8.1/10 (Category avg: 8.1/10) #### Who Is the Company Behind SnapLogic Intelligent Integration Platform (IIP)? - **Vendeur:** [SnapLogic](https://www.g2.com/fr/sellers/snaplogic) - **Site Web de l'entreprise:** www.snaplogic.com - **Année de fondation:** 2006 - **Emplacement du siège social:** San Mateo, CA - **Twitter:** @SnapLogic 7,348 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5261a75f1a744444604a852bca79d92e4b9b8336bca6cd31b6688370561a9346&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F210766%2F&secure%5Burl_type%5D=linkedin_company_website) 305 employés sur LinkedIn® #### Who Uses This Product? - **Who Uses This:** Ingénieur de données, Consultant - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 46% Large, 37% Medium #### What Do G2 Reviewers Say About SnapLogic Intelligent Integration Platform (IIP)? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs apprécient la **facilité d'utilisation** de SnapLogic, permettant une intégration rapide et une configuration de pipeline simple. - Les utilisateurs apprécient les **intégrations faciles** de SnapLogic, bénéficiant d'une interface conviviale et de divers connecteurs. - Les utilisateurs apprécient les capacités d' **intégration transparente** de SnapLogic IIP, permettant des connexions efficaces entre divers systèmes. - Les utilisateurs apprécient l' **interface conviviale** de SnapLogic, simplifiant les tâches et améliorant la productivité globale. - Les utilisateurs adorent la **simplicité de l'automatisation** dans SnapLogic IIP, permettant un développement plus rapide et des processus d'intégration efficaces. ##### Cons - Les utilisateurs signalent des **problèmes de performance** avec SnapLogic, surtout sous des charges de travail lourdes et dans la fonctionnalité d'équilibrage de charge. - Les utilisateurs éprouvent **de mauvaises performances** sous des charges de travail lourdes, ce qui entraîne de la frustration avec le débogage et des intégrations complexes. - Les utilisateurs rencontrent des **difficultés techniques** , y compris des défis de débogage et des baisses de performance lors de charges de travail importantes. - Les utilisateurs trouvent que la **complexité de la compréhension des Snaps** et la traçabilité des erreurs sont assez difficiles dans SnapLogic IIP. - Les utilisateurs signalent **un mauvais rapport d'erreurs** et un manque de clarté dans le débogage, compliquant le processus de dépannage. #### What Are Recent G2 Reviews of SnapLogic Intelligent Integration Platform (IIP)? **["Intégrations rapides et évolutives avec le concepteur intuitif de glisser-déposer de SnapLogic"](https://www.g2.com/fr/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13212820)** **Rating:** 5.0/5.0 stars _— Ramakrishna k._ [Read full review](https://www.g2.com/fr/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13212820) **["Intégrations ultra-rapides—économisent beaucoup de maux de tête de codage !"](https://www.g2.com/fr/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310)** **Rating:** 5.0/5.0 stars _— Pavan Simhadri D._ [Read full review](https://www.g2.com/fr/survey_responses/snaplogic-intelligent-integration-platform-iip-review-13191310) #### What Are G2 Users Discussing About SnapLogic Intelligent Integration Platform (IIP)? - [À quoi sert la plateforme d'intégration intelligente SnapLogic (IIP) ?](https://www.g2.com/fr/discussions/what-is-snaplogic-intelligent-integration-platform-iip-used-for) - 1 comment ### [Boomi Data Integration](https://www.g2.com/products/boomi-data-integration/reviews) Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies. **Average Rating:** 4.7/5.0 **Total Reviews:** 120 #### How Do G2 Users Rate Boomi Data Integration? - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 9.3/10 (Category avg: 8.7/10) - **Auditing:** 8.8/10 (Category avg: 8.1/10) #### Who Is the Company Behind Boomi Data Integration? - **Seller:** [Boomi](https://www.g2.com/sellers/boomi) - **Year Founded:** 2000 - **HQ Location:** Conshohocken, PA - **Twitter:** @boomi 101,014 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=48e58db8d91e1da54d6b476d5f5c5a2d98aab91fa1d98184cfcc08cb78bcfd9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fboomi-inc%2F&secure%5Burl_type%5D=linkedin_company_website) 3,024 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Medium, 36% Small #### What Do G2 Reviewers Say About Boomi Data Integration? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **user-friendly interface** of Boomi Data Integration, making it easy to learn and implement. - Users commend the **excellent customer support** of Boomi Data Integration, enhancing their implementation and overall experience. - Users value the **wide range of connectors** in Boomi Data Integration, simplifying data connection and reporting across platforms. - Users value the **automation capabilities** of Boomi Data Integration, significantly enhancing their ETL processes and workflow efficiency. - Users appreciate the **ease of implementation** with Boomi Data Integration, highlighting user-friendliness and excellent support during setup. ##### Cons - Users face **data limitations** with Boomi Data Integration, often lacking necessary fields and documentation when connecting to sources. - Users often face **information deficiency** due to missing documentation and unavailable fields, complicating their data integration efforts. - Users experience **insufficient information** when connecting to data sources, leading to challenges in accessing necessary fields. - Users find Boomi Data Integration **lacking features** , often facing missing documentation and unavailable report fields during data connections. - Users find the **limited features** of Boomi Data Integration frustrating, as necessary fields in reports may be unavailable. #### What Are Recent G2 Reviews of Boomi Data Integration? **["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) **["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) #### 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 - [What does Rivery do?](https://www.g2.com/discussions/what-does-rivery-do) - 1 comment ### [Azure Data Factory](https://www.g2.com/fr/products/azure-data-factory/reviews) Azure Data Factory (ADF) est un service d'intégration de données entièrement géré et sans serveur, conçu pour simplifier le processus d'ingestion, de préparation et de transformation des données provenant de sources diverses. Il permet aux organisations de construire et d'orchestrer des flux de travail Extract, Transform, Load (ETL) et Extract, Load, Transform (ELT) dans un environnement sans code, facilitant le mouvement et la transformation des données entre les systèmes sur site et basés sur le cloud. Caractéristiques clés et fonctionnalités : - Connectivité étendue : ADF offre plus de 90 connecteurs intégrés, permettant l'intégration avec une large gamme de sources de données, y compris les bases de données relationnelles, les systèmes NoSQL, les applications SaaS, les API et les services de stockage cloud. - Transformation de données sans code : En utilisant des flux de données de mappage alimentés par Apache Spark™, ADF permet aux utilisateurs d'effectuer des transformations de données complexes sans écrire de code, simplifiant ainsi le processus de préparation des données. - Rehébergement de paquets SSIS : Les organisations peuvent facilement migrer et étendre leurs paquets SQL Server Integration Services (SSIS) existants vers le cloud, réalisant ainsi des économies significatives et une évolutivité accrue. - Évolutif et économique : En tant que service sans serveur, ADF s'adapte automatiquement pour répondre aux demandes d'intégration de données, offrant un modèle de tarification à l'utilisation qui élimine le besoin d'investissements initiaux en infrastructure. - Surveillance et gestion complètes : ADF fournit des outils de surveillance robustes, permettant aux utilisateurs de suivre la performance des pipelines, de configurer des alertes et d'assurer le fonctionnement efficace des flux de travail de données. Valeur principale et solutions pour les utilisateurs : Azure Data Factory répond aux complexités de l'intégration de données moderne en fournissant une plateforme unifiée qui connecte des sources de données disparates, automatise les flux de travail de données et facilite les transformations de données avancées. Cela permet aux organisations de tirer des insights exploitables de leurs données, d'améliorer les processus de prise de décision et d'accélérer les initiatives de transformation numérique. En offrant un environnement évolutif, économique et sans code, ADF réduit la charge opérationnelle des équipes informatiques et permet aux ingénieurs de données et aux analystes commerciaux de se concentrer sur la création de valeur grâce à des stratégies basées sur les données. **Average Rating:** 4.6/5.0 **Total Reviews:** 95 #### How Do G2 Users Rate Azure Data Factory? - **the product a-t-il été un bon partenaire commercial?:** 9.1/10 (Category avg: 9.1/10) - **Automatisation:** 9.2/10 (Category avg: 9.0/10) - **Évolutivité:** 9.1/10 (Category avg: 8.7/10) - **Audit:** 8.4/10 (Category avg: 8.1/10) #### Who Is the Company Behind Azure Data Factory? - **Vendeur:** [Microsoft](https://www.g2.com/fr/sellers/microsoft) - **Année de fondation:** 1975 - **Emplacement du siège social:** Redmond, Washington - **Twitter:** @microsoft 13,091,739 abonnés Twitter - **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website) 231,632 employés sur LinkedIn® - **Propriété:** MSFT #### Who Uses This Product? - **Who Uses This:** Ingénieur de données, Ingénieur logiciel - **Top Industries:** Technologie de l'information et services, Logiciels informatiques - **Company Size:** 60% Large, 30% Medium #### What Do G2 Reviewers Say About Azure Data Factory? _AI-generated summary from verified user reviews_ ##### Pros - Les utilisateurs adorent les **capacités d'intégration de données transparentes** d'Azure Data Factory, simplifiant les flux de travail complexes et améliorant la productivité. - Les utilisateurs apprécient la **facilité d'utilisation** d'Azure Data Factory, simplifiant l'intégration des données avec son interface visuelle à faible code. - Les utilisateurs apprécient la **connectivité transparente** d'Azure Data Factory pour intégrer diverses sources de données avec un minimum de codage. - Les utilisateurs apprécient les **capacités d'intégration transparentes** d'Azure Data Factory, simplifiant les flux de travail de données complexes à travers diverses sources. - Les utilisateurs apprécient la **scalabilité** d'Azure Data Factory, leur permettant de gérer et d'intégrer sans effort de vastes sources de données. ##### Cons - Les utilisateurs trouvent la **difficulté de débogage** dans Azure Data Factory frustrante, en particulier pour les pipelines complexes et le dépannage des échecs. - Les utilisateurs trouvent **difficile le débogage** avec Azure Data Factory, rencontrant souvent des défis pour résoudre efficacement les problèmes dans des pipelines complexes. - Les utilisateurs trouvent Azure Data Factory **cher** en raison des coûts imprévisibles liés aux exécutions de pipelines et aux mouvements de données. - Les utilisateurs trouvent que les **limitations des fonctionnalités** d'Azure Data Factory entravent leur capacité à surveiller et à s'intégrer efficacement avec Power BI. - Les utilisateurs trouvent que la **complexité et les limitations** d'Azure Data Factory sont difficiles, en particulier pour le débogage et la gestion de flux de travail complexes. #### What Are Recent G2 Reviews of Azure Data Factory? **["Intégration de données intuitive et évolutive avec Azure Data Factory"](https://www.g2.com/fr/survey_responses/azure-data-factory-review-12454264)** **Rating:** 4.5/5.0 stars _— Alan R._ [Read full review](https://www.g2.com/fr/survey_responses/azure-data-factory-review-12454264) **["Glisser-déposer à faible code qui facilite le développement pour les développeurs et les utilisateurs professionnels"](https://www.g2.com/fr/survey_responses/azure-data-factory-review-12746463)** **Rating:** 4.5/5.0 stars _— Shyam s._ [Read full review](https://www.g2.com/fr/survey_responses/azure-data-factory-review-12746463) #### What Are G2 Users Discussing About Azure Data Factory? - [Is Azure data Factory an ETL tool?](https://www.g2.com/fr/discussions/is-azure-data-factory-an-etl-tool) - 2 comments - [What are the additional capabilities of data Factory?](https://www.g2.com/fr/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/fr/discussions/which-3-types-of-activities-can-you-run-in-microsoft-azure-data-factory) - [What does Azure data/factory do?](https://www.g2.com/fr/discussions/what-does-azure-data-factory-do) ### [IBM StreamSets](https://www.g2.com/products/ibm-streamsets/reviews) IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration. **Average Rating:** 4.0/5.0 **Total Reviews:** 114 #### How Do G2 Users Rate IBM StreamSets? - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Automation:** 7.7/10 (Category avg: 9.0/10) - **Scalability:** 7.5/10 (Category avg: 8.7/10) - **Auditing:** 7.2/10 (Category avg: 8.1/10) #### Who Is the Company Behind IBM StreamSets? - **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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website) 328,202 employees on LinkedIn® - **Ownership:** SWX:IBM #### Who Uses This Product? - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Large, 34% Medium #### What Do G2 Reviewers Say About IBM StreamSets? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features. - Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency. - Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments. - Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient. - Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity. ##### Cons - Users experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively. - Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets. - Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported. - Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines. - Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations. #### 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) - [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free) - [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment ### [5X](https://www.g2.com/products/5x/reviews) 5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free. **Average Rating:** 4.9/5.0 **Total Reviews:** 81 #### How Do G2 Users Rate 5X? - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10) - **Automation:** 9.5/10 (Category avg: 9.0/10) - **Scalability:** 9.5/10 (Category avg: 8.7/10) - **Auditing:** 9.4/10 (Category avg: 8.1/10) #### Who Is the Company Behind 5X? - **Seller:** [5X](https://www.g2.com/sellers/5x) - **Year Founded:** 2020 - **HQ Location:** San Francisco - **Twitter:** @DataWith5x 49 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=123d4698fdf0b6036b49dc7dd7e99f12fd6c91a432ee93cdc153ec13a4d274d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatawith5x%2F&secure%5Burl_type%5D=linkedin_company_website) 111 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Financial Services - **Company Size:** 56% Medium, 40% Small #### What Do G2 Reviewers Say About 5X? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of 5X, appreciating its intuitive interface and seamless integration with existing tools. - Users appreciate the **responsive customer support** of 5X, which quickly addresses inquiries and implements requested features. - Users praise 5X for its **seamless integration capabilities** , enhancing workflow automation and simplifying data management across platforms. - Users value the **easy integrations** of 5X, enhancing their data ingestion and overall operational efficiency effortlessly. - Users praise 5X for its **intuitive design and integrated capabilities** , facilitating efficient data management and seamless workflows. ##### Cons - Users find a **steep learning curve** with 5X initially, but training helps to ease the transition. - Users find the **complex setup** of 5X challenging, often requiring additional support for successful deployment. - Users find a **steep learning curve** initially, requiring enablement sessions to ease into the platform's complexity. - Users find the **difficult setup** of 5X to be time-consuming, requiring extensive learning and support for complex integrations. - Users note **feature limitations** as some advanced tools are still in development, affecting overall functionality and workflows. #### What Are Recent G2 Reviews of 5X? **["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) **["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) - ‹ Prev‹ Prev - 1 - [2](/categories/etl-tools?order=g2_score&page=2#product-list) - [3](/categories/etl-tools?order=g2_score&page=3#product-list) - [4](/categories/etl-tools?order=g2_score&page=4#product-list) - [5](/categories/etl-tools?order=g2_score&page=5#product-list) - … - [16](/categories/etl-tools?order=g2_score&page=16#product-list) - [17](/categories/etl-tools?order=g2_score&page=17#product-list) - [Next ›Next ›](/categories/etl-tools?order=g2_score&page=2#product-list) Spotlight Categories [Sales Compensation Software](https://www.g2.com/categories/sales-compensation) [Demo Automation Software](https://www.g2.com/categories/demo-automation) [Attribution Software](https://www.g2.com/categories/attribution) [Professional Services Automation Software](https://www.g2.com/categories/professional-services-automation) [Live Chat Software](https://www.g2.com/categories/live-chat) Similar Categories - [Big Data Integration Platforms](/categories/big-data-integration-platforms) - [Cloud Migration](/categories/cloud-migration) - [Embedded Integration Platforms](/categories/embedded-integration-platforms) - [Enterprise Service Bus (ESB)](/categories/enterprise-service-bus-esb) - [iPaaS](/categories/ipaas) - [Reverse ETL](/categories/reverse-etl) - [Stream Analytics](/categories/stream-analytics) [Browse ETL Tools Themes](/categories/etl-tools/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated April 9, 2026 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 Tools at a Glance | Product | Best for | User Review | | --- | --- | --- | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,358)](https://www.g2.com/products/databricks/reviews) | Unified lakehouse pipelines with governance and ML workflows | "Reliable Platform for Building Scalable Data Pipelines" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dc1ebe6ea7ff0dbb1035934f68104ac4/celigo.jpg "Product Avatar Image")](https://www.g2.com/products/celigo/reviews)[Celigo](https://www.g2.com/products/celigo/reviews)[4.6/5(1,103)](https://www.g2.com/products/celigo/reviews) | NetSuite-centered app integration and sync | "Seamless Integration with Exceptional Support" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")](https://www.g2.com/products/alteryx/reviews)[Alteryx](https://www.g2.com/products/alteryx/reviews)[4.6/5(891)](https://www.g2.com/products/alteryx/reviews) | Drag-and-drop data prep and reporting automation | "Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-bigquery/reviews)[BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)[4.5/5(1,223)](https://www.g2.com/products/google-cloud-bigquery/reviews) | Serverless analytics on large cloud datasets | "Easy-to-Use Cloud Tool with Shareable, Saved Queries" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3d9a09f76a7f8a459cd2e26434ddc0c3/fme-platform.png "Product Avatar Image")](https://www.g2.com/products/fme-platform/reviews)[FME Platform](https://www.g2.com/products/fme-platform/reviews)[4.6/5(131)](https://www.g2.com/products/fme-platform/reviews) | Geospatial and multi-format data transformation | "Powerful Automation and Workflow with Fast Onboarding" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8ef2fed795a3ce0717d8b4925583871c/domo.jpg "Product Avatar Image")](https://www.g2.com/products/domo/reviews)[Domo](https://www.g2.com/products/domo/reviews)[4.3/5(1,063)](https://www.g2.com/products/domo/reviews) | Self-service ETL feeding business dashboards | "Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_de2aec2900c83942b05e5256568f5444/fivetran.jpg "Product Avatar Image")](https://www.g2.com/products/fivetran/reviews)[Fivetran](https://www.g2.com/products/fivetran/reviews)[4.3/5(826)](https://www.g2.com/products/fivetran/reviews) | Managed connector-based data ingestion | "No-Code, Self-Monitoring Pipelines with Connectors That Just Work" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-data.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-data/reviews)[IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)[4.4/5(172)](https://www.g2.com/products/ibm-watsonx-data/reviews) | Lakehouse querying across object storage | "Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve" | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_50b25c72253e48a2b66e69f996196956/workato.png "Product Avatar Image")](https://www.g2.com/products/workato/reviews)[Workato](https://www.g2.com/products/workato/reviews)[4.7/5(777)](https://www.g2.com/products/workato/reviews) | Low-code workflow automation across SaaS apps | "Workato helps us building complex integrations at lightning speed." | | [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_70504900b41d7c7b1d338391f48eec69/skyvia.png "Product Avatar Image")](https://www.g2.com/products/skyvia/reviews)[Skyvia](https://www.g2.com/products/skyvia/reviews)[4.8/5(324)](https://www.g2.com/products/skyvia/reviews) | No-code CRM sync, backup, and scheduled ETL | "Easy, No-Code Data Sync Setup with Straightforward Pricing" | * * * Show More ### ETL Tools Topics - [ETL software buying insights at a glance](#etl-software-buying-insights-at-a-glance) - [Top 5 FAQs from software buyers](#top-5-faqs-from-software-buyers) - [What are the top-reviewed ETL Tools on G2?](#what-are-the-top-reviewed-etl-tools-on-g2) - [What I Often See in ETL Tools](#what-i-often-see-in-etl-tools) - [My Expert Takeaway on ETL Tools in 2026](#my-expert-takeaway-on-etl-tools-in-2026) - [ETL Tools FAQs](#etl-tools-faqs) [ ### ETL Tools Topics Expand/Collapse ](#) - [ETL software buying insights at a glance](#etl-software-buying-insights-at-a-glance) - [Top 5 FAQs from software buyers](#top-5-faqs-from-software-buyers) - [What are the top-reviewed ETL Tools on G2?](#what-are-the-top-reviewed-etl-tools-on-g2) - [What I Often See in ETL Tools](#what-i-often-see-in-etl-tools) - [My Expert Takeaway on ETL Tools in 2026](#my-expert-takeaway-on-etl-tools-in-2026) - [ETL Tools FAQs](#etl-tools-faqs) ## Learn More 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