--- title: IBM watsonx.data Reviews meta\_title: 'IBM watsonx.data Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 172 reviews by the users' company size, role or industry to find out how IBM watsonx.data works for a business like yours. aggregate\_rating: rating\_value: 4.4 review\_count: 172 scale: '5' date\_modified: '2026-08-12' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data --- # IBM watsonx.data Reviews & Product Details Visit Website 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 * * * Product Website IBM watsonx.data Seller [IBM](https://www.g2.com/sellers/ibm) Discussions [IBM watsonx.data Community](https://www.g2.com/products/ibm-watsonx-data/discuss) Solution Type All-in-One Overview by Fariya Syed-Ali Show More ## Value at a Glance Averages based on real user reviews. ### Time to Implement 3 months [ View More Pricing Information ](https://www.g2.com/products/ibm-watsonx-data/pricing) ## IBM watsonx.data Integrations (20) What do users say about integrations? Verified by IBM watsonx.data [ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Amazon Simple Storage Service (S3) ](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Apache Spark for Azure HDInsight ](https://www.g2.com/products/apache-spark-for-azure-hdinsight/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Apache SystemML ](https://www.g2.com/products/apache-systemml/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Automation Anywhere Agentic Process Automation ](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") AWS Cloud Development Kit (AWS CDK) ](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") AWS Glue ](https://www.g2.com/products/aws-glue/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") AWS Lambda ](https://www.g2.com/products/aws-lambda/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Azure Virtual Machines ](https://www.g2.com/products/azure-virtual-machines/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Betterment at Work ](https://www.g2.com/products/betterment-at-work/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") ChatGPT ](https://www.g2.com/products/chatgpt/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Django ](https://www.g2.com/products/django/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Hadoop HDFS ](https://www.g2.com/products/hadoop-hdfs/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") IBM Cloud Pak for Data ](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") IBM Db2 ](https://www.g2.com/products/ibm-db2/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Microsoft Power BI ](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Presto ](https://www.g2.com/products/presto/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Spark ](https://www.g2.com/products/apache-spark/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Spark SQL ](https://www.g2.com/products/spark-sql/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Tableau ](https://www.g2.com/products/tableau/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") The Jupyter Notebook ](https://www.g2.com/products/the-jupyter-notebook/reviews) Show More ![Aliasgar B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aliasgar B.") AB Aliasgar B. Software Engineer Small-Business (50 or fewer emp.) 8/4/2026 "Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals" 4/5 What do you like best about IBM watsonx.data? The UI is clean and easy to navigate, especially for someone using the platform for the first time. The getting started guides and onboarding flow helped me understand the different components without needing to spend much time reading documentation . One feature I liked was the infrastructure section. It provides a visual interface that feels similar to tools like n8n, The storage integration experience is also well designed. It supports connecting to services like Amazon S3, Redis, PostgreSQL, MySQL, and other data sources from the interface. In free mode i not able to add components but it was good and performance was aslo good every click feels smooth Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? The biggest issue I encountered was around Spark engine management. When I tried stopping the Spark server from the infrastructure page, I repeatedly received error messages even after pausing the engine and related services. The error messages weren't very descriptive, so it was difficult to understand what was actually wrong or how to resolve it. Better diagnostics and more user-friendly error messages would improve the experience. I also noticed IBM documents several known Spark UI and engine-related limitations, so I hope these areas continue to improve. Another area that could be improved is the Query Workspace. While it's functional, the interface feels a bit too compact, especially on smaller screens. More spacing and a cleaner layout would make writing and reviewing queries more comfortable. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? As a student, I mostly used watsonx.data to learn. From what I understood, it's useful for companies that have data spread across different storage systems and want a single place to manage and query it, especially for AI and analytics use cases. It also helped me understand how enterprise data platforms work in practice. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: Seller invite ![MOUNEES KUMAR C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "MOUNEES KUMAR C.") MC MOUNEES KUMAR C. Process Associate Small-Business (50 or fewer emp.) 7/27/2026 "Great Platform for Unified Data and Analytics" 3.5/5 What do you like best about IBM watsonx.data? You can use this response (more than 40 characters): \> What I like best about IBM watsonx.data is its ability to manage and analyze large volumes of structured and unstructured data efficiently. Its open data lakehouse architecture, scalability, and support for AI and analytics make it a powerful platform for modern data-driven applications. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? You can use this balanced review: \> One drawback of IBM watsonx.data is that the initial setup and configuration can be complex for new users. Some advanced features also have a learning curve, and performance tuning may require technical expertise to get the best results. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? You can use this response: \> IBM watsonx.data helps solve the challenge of managing and analyzing large volumes of data from multiple sources in one platform. It improves query performance, reduces data management complexity, and supports AI and analytics workloads, enabling faster insights and more efficient decision-making. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Arkajit D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Arkajit D.") AD Arkajit D. Chief Technology Officer Information Technology and Services Mid-Market (51-1000 emp.) 5/19/2026 "Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve" 4/5 What do you like best about IBM watsonx.data? One feature that stood out for us was the query performance optimization, especially for large reporting and analytics workloads. We process high-volume financial and customer behavior data, and the platform handled complex queries much more efficiently than our previous setup. I also appreciate the interoperability with existing tools and open formats. Our engineering team didn’t have to completely rebuild pipelines or retrain users from scratch, which made adoption smoother internally. Another big advantage has been governance and data visibility. In a regulated fintech environment, having stronger control over data access and lineage tracking became extremely important, especially for audit and compliance requirements. From a business perspective, watsonx.data helped reduce infrastructure inefficiencies while improving access to analytics across teams. Analysts, data engineers, and operations teams were able to work from a more unified environment instead of constantly moving data between disconnected systems. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? One challenge with IBM watsonx.data is that the platform can feel quite complex during the initial onboarding phase, especially for teams that are newer to lakehouse architectures or hybrid data environments. There are a lot of capabilities available, but understanding how to configure and optimize everything properly takes time. We also experienced a steeper learning curve around setup, integration, and governance policies compared to some lighter-weight analytics platforms we evaluated. Certain workflows required more technical involvement from our data engineering team than we originally expected. Another area that could improve is the user experience within parts of the interface. While the platform is powerful, some administrative and configuration tasks don’t always feel as intuitive or streamlined as newer cloud-native tools in the market. Performance has generally been strong for large workloads, but during early implementation we had to spend time tuning queries and optimizing storage configurations to get consistent results across different environments. Pricing and infrastructure planning can also become a consideration for organizations scaling large enterprise deployments. Smaller teams without dedicated data engineering resources may find adoption more challenging initially. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? IBM watsonx.data helped us solve a major issue around fragmented data management and slow analytics processing across multiple business systems. Before implementation, our teams were pulling data from separate cloud platforms, transactional databases, and reporting tools, which created delays, duplication, and inconsistent reporting. One of the biggest problems was handling growing volumes of financial and operational data efficiently without constantly increasing infrastructure costs. Traditional warehouse scaling was becoming expensive, especially as our analytics workloads expanded across departments. With watsonx.data, we were able to centralize access to structured and semi-structured data while still keeping flexibility in how the data was stored and queried. That significantly improved reporting speed and reduced the amount of manual data movement our engineering team had to manage. A major benefit for us has been faster analytics and better visibility across teams. Earlier, generating large operational or customer-risk reports could take hours because data pipelines were fragmented. After implementation, analysts were able to query datasets more efficiently and collaborate from a more unified environment. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent UserValidated ReviewerIncentivizedSource: Seller invite ![Anchal P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anchal P.") AP Anchal P. Process Executive Small-Business (50 or fewer emp.) 5/15/2026 "Unified Data Management with Learning Curve" 5/5 What do you like best about IBM watsonx.data? What I like most about IBM watsonx.data is its ability to unify data from multiple sources without complex migrations or duplication, which saves time and reduces storage costs. Its open lakehouse architecture delivers strong performance for analytics, reporting, and AI workloads while remaining cost-efficient and scalable. I also appreciate the clean and organized UI/UX, which makes navigating datasets, managing workloads, and monitoring data operations more efficient for enterprise teams. The built-in governance, hybrid cloud flexibility, and smooth integrations further simplify data management and support scalable AI and analytics initiatives across environments. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? One area IBM watsonx.data could improve is the initial setup and configuration, which can feel complex for new users or smaller teams. Some integrations and advanced features also come with a learning curve and would benefit from clearer, more detailed documentation. In certain situations, query performance and troubleshooting can take extra effort, especially when working with very large or highly diverse data environments. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? I use IBM watsonx.data to manage and analyze large data sets across hybrid cloud environments. It streamlines integration, boosts query performance, and provides trusted data access for AI. It simplifies complexity, enhances team collaboration, and controls costs across multiple sources. Review collected by and hosted on G2.com. Show More 5/18/2026 Current UserValidated ReviewerSource: Thank You page ![Yash P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yash P.") YP Yash P. Assistant System Engineer Small-Business (50 or fewer emp.) 4/23/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Efficient and Scalable Lakehouse Platform for Modern Data Analytics" 4/5 What do you like best about IBM watsonx.data? What I like most about IBM watsonx.data is how it lets us query and manage data across multiple sources without needing complex data movement. Its open lakehouse architecture makes it easier to work with structured and unstructured data side by side, which has improved performance and reduced storage duplication for our analytics workloads. The integration with AI and analytics tools also helps teams process large datasets more quickly and generate insights more efficiently. Another major advantage is its scalability and governance. The platform reliably supports high-volume enterprise data workloads while also providing strong security controls and solid data governance features. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? One area where IBM watsonx.data could improve is the initial setup experience and the learning curve for new users. While the platform is powerful, configuring integrations and optimizing workloads can sometimes require advanced technical knowledge, especially for teams that are new to lakehouse architectures. Clearer onboarding documentation, along with more guided setup workflows, would make adoption smoother and reduce the effort needed to get started. I also think some UI workflows and monitoring features could be more intuitive. At times, troubleshooting performance issues or managing integrations across different environments takes extra effort than it should. Additionally, pricing and resource consumption can become expensive for large-scale deployments, so more transparent cost-optimization tools and simpler management features would help improve the overall experience. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? Before using IBM watsonx.data, we struggled to manage and analyze large volumes of data distributed across multiple systems and cloud environments. Moving data between platforms was time-consuming and costly, and it often introduced delays in our reporting and analytics workflows. We also found it challenging to maintain consistent governance and reliable performance while working with a mix of structured and unstructured data. With IBM watsonx.data, we can now query data across different sources more efficiently, without unnecessary duplication or migration. This has improved analytics performance, lowered storage and operational costs, and helped our teams reach insights faster to support decision-making. The platform’s scalability, along with its integration with AI and analytics tools, has also boosted productivity by simplifying big data processing and enabling quicker development of data-driven solutions. Overall, it has helped us streamline our data architecture while strengthening governance, flexibility, and operational efficiency. Review collected by and hosted on G2.com. Show More 5/9/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Chirag S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Chirag S.") CS Chirag S. Data Analyst Mid-Market (51-1000 emp.) 7/23/2026 "Flexible Open Lakehouse with Iceberg Support and Multi-Engine Choice" 4.5/5 What do you like best about IBM watsonx.data? Its focus is on giving organizations flexibility without forcing them into a single storage format or query engine. A few aspects stand out as particularly compelling. The open data lakehouse architecture is designed to work with open table formats such as Apache Iceberg, which helps reduce vendor lock-in and makes data more portable across different tools and platforms. The separation of storage and compute also matters: you can scale compute resources independently of storage, which can improve cost efficiency for workloads that fluctuate over time. Finally, instead of relying on one query engine, it supports multiple engines optimized for different workloads, letting users choose the best fit for analytics, SQL, or AI use cases. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? IBM watsonx.data has several strengths, but it also comes with trade-offs that some users and organizations may find limiting. One is complexity: compared with fully managed cloud data warehouses, watsonx.data can require more upfront planning and ongoing operational expertise, particularly when you’re configuring multiple query engines, storage layers, and governance components. Another is the learning curve: teams that aren’t already familiar with lakehouse concepts, Apache Iceberg, or IBM’s data ecosystem may need additional time before they can become fully productive. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? IBM watsonx.data helps solve the problem of fragmented data and inefficient analytics by offering a unified, open lakehouse platform. For me, the main benefits are that it makes data easier to access, improves performance for AI and analytics workloads, helps lower infrastructure costs, and provides flexibility by supporting open data formats. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![Konjengbam M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Konjengbam M.") KM Konjengbam M. BDR Financial Services Mid-Market (51-1000 emp.) 4/15/2026 "Powerful, Secure, and Scalable Platform with Easy Data Migration" 5/5 What do you like best about IBM watsonx.data? The best I love about this platform is the data security it provides by not relying on a single platform for storage. This is an extremely powerful platform with much scalable option. One more thing I love about this platform is the ability of this platform to migrate the data without much complexity when needs arises. I also love the way how the data is stored in this platform. The access control is also provided which further enhances the security of this platform. There is also infrastructure manager in this platform which enhances visibility of the infrastructure components. It provides better understanding and effectiveness. The capability of its AI assistant in this platform is also good and can ease the task with its assistance. One best part of this platform is the IBM Ecosystem of this platform that makes this platform more robust. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? I love most part of this platform but I feel that the complexity of this platform is high so training from someone who had already used this platform would make the use of this platform more efficient. I also wish that this platform updates a bit more faster. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? This platform solves data management issues by avoiding most hurdles faced before. It also enables teams to collaboratively work together on the platform which improves efficiency and productivity. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. G2 IconCurrent UserValidated ReviewerIncentivizedSource: Seller invite ![SHIWAM T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "SHIWAM T.") ST SHIWAM T. MECM Admin Mid-Market (51-1000 emp.) 7/29/2026 "Seamless Data Integration with Stellar Performance" 5/5 What do you like best about IBM watsonx.data? I like how IBM watsonx.data unifies data from multiple sources into a single lakehouse platform while delivering fast query performance. Its strong data integration capabilities and open lakehouse architecture allow us to work with data in place instead of moving or duplicating it. I also appreciate that the platform scales well as our data grows, supports a wide range of analytics workloads, and integrates smoothly with AI business intelligence tools. The initial setup process was relatively straightforward, with well-documented installation and configuration steps, and connecting common data sources was uncomplicated. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? For me, everything is good. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? I use IBM watsonx.data to consolidate data from multiple sources into one platform, improving access and analysis. It eliminates silos and enhances query performance for large datasets, providing faster insights without data duplication. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![Eric B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Eric B.") EB Eric B. Lead Data Analytics Engineer Financial Services Enterprise (\> 1000 emp.) 7/29/2026 "Clean, Unobtrusive UI with Seamless Integrations and On-Demand AI Insights" 3.5/5 What do you like best about IBM watsonx.data? I like that the UI stays out of the way, the integrations keep our data connected overall behind the scenes, and its most noticeable AI feature is there whenever I need an additional layer of insight. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? Well it wasn’t perfect from the start. AI occasionally requires a second thought before I move forward with its decisions. And it does demand some solid attention to make complete sense to us. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? We were putting too much effort into finding, preparing, and then validating data before making any analysis. Now that our data is synced with the best of the features, the entire process feels more connected, making it simpler for us to make informed decisions about data. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![Abhishek Y.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhishek Y.") AY Abhishek Y. T/Network Administrator Mid-Market (51-1000 emp.) 7/27/2026 "Powerful Data Management with Room for Easier Setup" 4/5 What do you like best about IBM watsonx.data? I like IBM watsonx.data for its scalability, fast query performance, and the ability to integrate data from multiple sources in one platform. I appreciate its support for open data formats, flexible integrations, and the capability to scale as my data needs grow. Review collected by and hosted on G2.com. What do you dislike about IBM watsonx.data? I find the learning curve a bit steep, and I think the initial setup could be simpler. The onboarding process could be more guided, with clearer documentation, step-by-step setup wizards, and more practical examples for common deployment scenarios. Better error messages and troubleshooting guidance would also make the initial configuration easier. Review collected by and hosted on G2.com. What problems is IBM watsonx.data solving and how is that benefiting you? I use IBM watsonx.data for data storage, SQL analytics, and managing enterprise data efficiently in one platform, improving scalability and analytics performance. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ## Pricing Insights Averages based on real user reviews. ### Time to Implement 3 months ### Return on Investment 11 months ### Average Discount 32% [ View More Pricing Information ](https://www.g2.com/products/ibm-watsonx-data/pricing) IBM watsonx.data Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image") Snowflake 4.6/5(764) [ Compare Now ](https://www.g2.com/compare/ibm-watsonx-data-vs-snowflake) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks 4.6/5(1,365) [ Compare Now ](https://www.g2.com/compare/databricks-vs-ibm-watsonx-data) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_d1fd454b6f4ef5fb0bbdaabe8681b035/cloudera.png "Product Avatar Image") Cloudera 4.1/5(136) [ Compare Now ](https://www.g2.com/compare/cloudera-vs-ibm-watsonx-data) ##### ##### IBM watsonx.data Features Database Real-Time Data Collection Data Distribution Data Lake Integrations Spark Integration Platform Machine Scaling Data Preparation Spark Integration Processing Cloud Processing [ View More Features ](https://www.g2.com/products/ibm-watsonx-data/features) ## Top-Rated Alternatives [ ![Snowflake](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Snowflake") Snowflake 4.6/5(764) ](https://www.g2.com/products/snowflake/reviews) [ ![Databricks](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Databricks") Databricks 4.6/5(1,365) ](https://www.g2.com/products/databricks/reviews) [ ![Google Cloud BigQuery](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Google Cloud BigQuery") Google Cloud BigQuery 4.5/5(1,224) ](https://www.g2.com/products/google-cloud-bigquery/reviews) [ View All Alternatives ](https://www.g2.com/products/ibm-watsonx-data/competitors/alternatives) ##### Categories on G2 [ETL Tools](https://www.g2.com/categories/etl-tools)[Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[Data Governance](https://www.g2.com/categories/data-governance-tools) [ETL Tools](https://www.g2.com/categories/etl-tools)[Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[Data Governance](https://www.g2.com/categories/data-governance-tools)[Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution)[Big Data Analytics](https://www.g2.com/categories/big-data-analytics)[Data Warehouse](https://www.g2.com/categories/data-warehouse)[Data as a Service (DaaS)](https://www.g2.com/categories/data-as-a-service-daas) [Show MoreShow Less](javascript:void(0);) ##### Explore More [What terminal emulators provide the best SSH connectivity features for secure remote system administration?](https://www.g2.com/discussions/what-terminal-emulators-provide-the-best-ssh-connectivity-features-for-secure-remote-system-administration)[Which payment analytics platforms are best for teams that need to track transaction trends across multiple payment gateways from a single dashboard?](https://www.g2.com/discussions/which-payment-analytics-platforms-are-best-for-teams-that-need-to-track-transaction-trends-across-multiple-payment-gateways-from-a-single-dashboard)[Top rated performance review apps for software companies](https://www.g2.com/discussions/top-rated-performance-review-apps-for-software-companies-what-s-your-pick) [Best-rated app to manage business passwords](https://www.g2.com/discussions/best-rated-app-to-manage-business-passwords)[Which punch list platforms enable photo documentation and contractor feedback simultaneously?](https://www.g2.com/discussions/which-punch-list-platforms-enable-photo-documentation-and-contractor-feedback-simultaneously)[Pros and Cons Details](https://www.g2.com/products/ibm-watsonx-data/reviews?qs=pros-and-cons) [Show MoreShow Less](javascript:void(0);)