--- title: IBM watsonx.data Reviews meta_title: 'IBM watsonx.data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 168 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: 168 scale: '5' date_modified: '2026-07-29' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # IBM watsonx.data Reviews **Vendor:** IBM **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.4/5.0 **Total Reviews:** 168 ## About IBM watsonx.data 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 ## IBM watsonx.data Pros & Cons **What users like:** - Users appreciate the **ease of use** of IBM watsonx.data, finding it reliable and efficient for data management tasks. (67 reviews) - Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics. (47 reviews) - Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly. (41 reviews) - Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects. (33 reviews) - Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making. (31 reviews) - Users value the **flexibility** of IBM watsonx.data, enabling efficient management and analysis of diverse datasets seamlessly. (31 reviews) - Efficiency (30 reviews) - Easy Integrations (27 reviews) - Large Datasets (27 reviews) - Performance (26 reviews) **What users dislike:** - Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data. (38 reviews) - Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies. (25 reviews) - Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects. (20 reviews) - Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations. (17 reviews) - Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics. (17 reviews) - Users experience significant **integration issues** with IBM watsonx.data, especially when connecting to various data sources. (16 reviews) - Steep Learning Curve (16 reviews) - Setup Difficulty (14 reviews) - Users face **integration challenges** with Watsonx.data, especially when working with legacy systems and custom connectors. (13 reviews) - Poor Documentation (13 reviews) ## IBM watsonx.data Reviews ### 1. Astra DB simplifies your life by supporting a wide range of data formats **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** March 05, 2024 **What do you like best about IBM watsonx.data?** It is really easy to use and supports a wide range of data formats, including vectorized, columnar-based, and more. Additionally, DataStax is very robust, and its support team is extremely responsive. **What do you dislike about IBM watsonx.data?** Although it is user-friendly, mastering and optimizing all the features offered by the database can present a steep learning curve initially. **What problems is IBM watsonx.data solving and how is that benefiting you?** Indexing SharePoint documents to build a generative AI chatbot that can search and generate content based on the knowledge base stored in SharePoint. ### 2. The brain behind your GenAI apps **Rating:** 4.5/5.0 stars **Reviewed by:** Prasad P. | Founder & CEO, Mid-Market (51-1000 emp.) **Reviewed Date:** March 05, 2024 **What do you like best about IBM watsonx.data?** Eas of use vector solution, really serverless, cost effective, connected ecosystem **What do you dislike about IBM watsonx.data?** Cassandra legacy. There is generic industry persception that cassandra is complex. **What problems is IBM watsonx.data solving and how is that benefiting you?** Ability to vectorise and do effective vector search. ### 3. Software Developer **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2023 **What do you like best about IBM watsonx.data?** I Like DataStax's robust support for Apache Cassandra, enabling seamless management of large datasets with high availability. Its unified platform for hybrid and multi-cloud environments, with advanced analytics and search capabilities, sets it apart. The company's commitment to community engagement and innovation is commendable, making it a top choice for comprehensive data management solutions. **What do you dislike about IBM watsonx.data?** I mostly like everything and neecds more improvement on cloud part. **What problems is IBM watsonx.data solving and how is that benefiting you?** DataStax solves the problem of scalable and fault-tolerant data management, benefiting me by providing a reliable platform. Its unified hybrid and multi-cloud support streamlines data handling. Integration of advanced analytics and search capabilities helps me derive insights, and its community engagement offers valuable resources and support for innovation. ### 4. Running Apache Cassandra/Pulsar for Enterprise **Rating:** 5.0/5.0 stars **Reviewed by:** Avinash U. | DevOps Engineer-I, Mid-Market (51-1000 emp.) **Reviewed Date:** February 16, 2022 **What do you like best about IBM watsonx.data?** The scalability of Cassandra, along with the customizations done by Datastax, is terrific for enterprise use cases. AstraDB, their Database as a service, is easy to use and cost-effective. There are drivers/SDKs/APIs for most languages/tools/frameworks you want to integrate with. Stargate is a cherry on top of the cake. The Astra Streaming service is an excellent managed service of Apache Pulsar. **What do you dislike about IBM watsonx.data?** A few general issues with Apache Cassandra are no transactional guarantee and joins. The eventual consistency will not work for all use cases. The Astra service lacks capabilities for extendable monitoring and observability. Datastax Astra also lacks the ability for refined RBAC and network security. **What problems is IBM watsonx.data solving and how is that benefiting you?** We use Datastax Astra DB and Streaming for our database and streaming needs. The billing is simple, and the integration is as well. The serverless database helped us reduce the overall costs. ### 5. DBA **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** December 08, 2021 **What do you like best about IBM watsonx.data?** It's distributed capability, availability and horizontal scaleability. **What do you dislike about IBM watsonx.data?** One area I wanted to see in their next major version is ease fo backup tool. Maybe integrated within OpsCenter with more flexibility. **What problems is IBM watsonx.data solving and how is that benefiting you?** RDBMs typically very hard to scale horizontally and it gets performance degradation as your data increases, however if you design your queries and data model correctly and properly, the speed of operations are sub-millis, especially for large write operations. ### 6. Good experience, very good product **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** January 29, 2020 **What do you like best about IBM watsonx.data?** The quality of the product is really good, it really goes beyond the open source Apache Cassandra. **What do you dislike about IBM watsonx.data?** The quality of the support, from time to time we had issues lasting for more than a year (sic), or every time we had to explain our setup to the support representative as they had no clue about our company and our background. **Recommendations to others considering IBM watsonx.data:** They have a good product and a huge experience with multiple different customers from different business domains. They are also offering now a flavor based on the open source version that might help people or organizations with specific needs, or afraid of lock-in, which is great. **What problems is IBM watsonx.data solving and how is that benefiting you?** We manage to provide a platform as a service to multiple different development teams. DataStax came into the play because no one had the knowledge on distributed databases at scale so their participation was paramount to the kickoff of the project. ### 7. DataStax Power Cisco **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Networking | Enterprise (> 1000 emp.) **Reviewed Date:** January 28, 2020 **What do you like best about IBM watsonx.data?** 1. High Availbility 2. Performance 3. Easy Install and Configured 4. Other Component like Spark,Solr and Graph 5. Easy to manage and save man hours 6. Support 7. Friendly behaviour by DataStax team **What do you dislike about IBM watsonx.data?** 1. Integration with other Apache product 2. Add more query related features in cassandra work load. 3. Enhance Inc Backup kayespace/Column family level 4. More Webinar and marketing like other Competator doing. **What problems is IBM watsonx.data solving and how is that benefiting you?** 1. day to day Production issue 2. Data Modeling 3. Architecture walk through 4. Prformance 5. Corruptions 6. Patches and Bugs ### 8. Review for DataStax **Rating:** 3.5/5.0 stars **Reviewed by:** Daniel L. | Senior Ad Ops Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2019 **What do you like best about IBM watsonx.data?** Our data was decentralized. It has therefore become indispensable to implement a customer master data management solution to deploy a consolidated vision of our clients in one single point. **What do you dislike about IBM watsonx.data?** Beneath the covers, the Cassandra data storage layer is basically a key-value storage system. This means that you must "model" your data around the queries you want to surface, rather than around the structure of the data itself. This can lead to storing the data multiple times in different ways to be able to satisfy the requirements of your application. **What problems is IBM watsonx.data solving and how is that benefiting you?** The write volume it can handle. It is able to handle such a large volume of writes by first writing to an in-memory data structure, then to an append-only log. ### 9. DATASTAX IS GREAT! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Entertainment | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2019 **What do you like best about IBM watsonx.data?** DATASTAX is an amazing tool for enhancing training and organization throughout our company. It's helped us integrate departments and employees which has helped us all improve greatly especially in terms of scalability. **What do you dislike about IBM watsonx.data?** Datastax is a bit expensive especially for smaller companies who are budget conscious. I also which the processes could be sped up a bit. There is also a learning curve to Datastax which I believe requires someone well versed to get through and teach to others. **What problems is IBM watsonx.data solving and how is that benefiting you?** We are using DataStax to train new and existing employees. We also use DataStax to improve our management systems. ### 10. Great for Cassandra implementations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2019 **What do you like best about IBM watsonx.data?** Best in class Distribution of Apache Cassandra addresses challenges involving adoption, maintainability and support by streamlining operations and control costs for all your Apache Cassandra workloads. **What do you dislike about IBM watsonx.data?** Need the complete enterprise version for advanced database features, security and analytics,. Do not use for use cases that requires a relational DB and ACID transactions **Recommendations to others considering IBM watsonx.data:** You may need this if you want a enterprise version of Cassandra implementation to leverage full potential **What problems is IBM watsonx.data solving and how is that benefiting you?** Implementation of globally distributed, linearly scalable for high streaming data writes - for transaction logging, storing time series data, tracking etc. ### 11. DataStax FTW **Rating:** 4.5/5.0 stars **Reviewed by:** Marie B. | Enterprise (> 1000 emp.) **Reviewed Date:** April 11, 2019 **What do you like best about IBM watsonx.data?** Their customer service and support is phenomenal. Very accommodating and knowledgeable **What do you dislike about IBM watsonx.data?** Their solution is pricey compared to other solutions but you get what you pay for **What problems is IBM watsonx.data solving and how is that benefiting you?** I am building a Customer 360 data management system to better understand my company’s customers ### 12. DSE an acceptible product with high maintenance overhead **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** November 01, 2018 **What do you like best about IBM watsonx.data?** The all in one integration between Cassandra, Solr, and Spark makes it simple to use together. Once installed, configuring them for basic out of the box functionality is completed by just enabling each one in a file. Once you get into the Ops Center and maintaining a production cluster, it starts to get more complicated. However, the DataStax academy provides the information needed to start more advanced configurations and implementations. **What do you dislike about IBM watsonx.data?** Maintaining a production cluster is very time consuming, requiring a full time resource just to manage this application for a larger system. The cloud resources needed to support this are pretty large. It's almost a wash compared to cloud native services. Beyond the generic training videos and programs, the extended support and training is a lot of extra effort to get spun up and covered. **Recommendations to others considering IBM watsonx.data:** Make sure you have the experience on staff to support this application moving forward. Without at least one experienced resource who has some combination of NoSQL solutions, search understanding, and basic AI capabilities, you will likely have to train a resource 6-8 months just to be comfortable with the product. **What problems is IBM watsonx.data solving and how is that benefiting you?** DataStax Enterprise solution provides a great backend data layer to our microservices in the cloud. Inventory search and the speed at which results are returned means this can be used for bot functions and other AI capabilities. ### 13. Is DataStax Worth the Hype? **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2019 **What do you like best about IBM watsonx.data?** This program is awesome for keeping track of and managing your data! I would recommend it to anyone. Very easy to use and performs magnificently. **What do you dislike about IBM watsonx.data?** I cannot think of anything that I dislike about DataStax. **Recommendations to others considering IBM watsonx.data:** Give it a try! You won’t be disappointed. **What problems is IBM watsonx.data solving and how is that benefiting you?** No problems. Benefits are awesome! I am now able to easily manage my data in a way that I have never before been able to. ### 14. They provide great support for a difficult product. **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** January 31, 2019 **What do you like best about IBM watsonx.data?** They offer support on Cassandra which is difficult to install and maintain. **What do you dislike about IBM watsonx.data?** Their installer is command run instead of using traditional Unix packages. They don't natively support Amazon Linux. **What problems is IBM watsonx.data solving and how is that benefiting you?** Support Cassandra. ### 15. Fast, reliable **Rating:** 4.5/5.0 stars **Reviewed by:** Nils K. | Principal Consultant, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** December 27, 2017 **What do you like best about IBM watsonx.data?** Mature, scalable data store, with good support **What do you dislike about IBM watsonx.data?** LWT becomes very slow under high concurrency. **What problems is IBM watsonx.data solving and how is that benefiting you?** High availability in multiple data centers ### 16. Market Leader **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Newspapers | Enterprise (> 1000 emp.) **Reviewed Date:** March 23, 2016 **What do you like best about IBM watsonx.data?** Datastax offers so much as a managed Cassandra platform, and they've emerged as the primarily leader in this space. The training materials and documentation alone are awesome contributions. Datastax has contributed so much to the open source tooling, and their technical blog rocks. Datastax Enterprise is really what you're looking for and should really consider when starting up a cloud app with Cassandra. The integrations with Spark, Opscenter, and Hadoop are what makes Datastax Enterprise worth it, not to mention the service level. **What do you dislike about IBM watsonx.data?** I compare Datastax to Cloudera, and there's so much more that they can be doing in terms of educational materials. **What problems is IBM watsonx.data solving and how is that benefiting you?** We were looking to build scalable, client-facing APIs, and Cassandra worked well in our implementation. Datastax really completed the picture. ### 17. Great Database Stack **Rating:** 5.0/5.0 stars **Reviewed by:** Stewart H. | Principle Engineer, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** January 26, 2016 **What do you like best about IBM watsonx.data?** The integration and support is top notch. It is hard to find a pre-packed solution like this which includes database drivers for practically any language you need to write in. **What do you dislike about IBM watsonx.data?** Honestly, I haven't ran into a large issues so far. **Recommendations to others considering IBM watsonx.data:** Be prepared for the bill; this ain't open source! **What problems is IBM watsonx.data solving and how is that benefiting you?** This is our main database for all of our business data. ### 18. scales very good **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2015 **What do you like best about IBM watsonx.data?** one of the top nosql commercial databases in the market. **What do you dislike about IBM watsonx.data?** better documentation and better admin tools. **What problems is IBM watsonx.data solving and how is that benefiting you?** centralized unstructured key value store. - [View IBM watsonx.data pricing details and edition comparison](https://www.g2.com/products/ibm-watsonx-data/reviews?page=4§ion=pricing&secure%5Bexpires_at%5D=2026-07-29+17%3A04%3A54+-0500&secure%5Bsession_id%5D=21fdd254-9376-4d93-8600-a6ae33aa6d94&secure%5Btoken%5D=e3f44b9ab28ac388e96d9434b3c2f5ba0d4f07c95186b29afcd99c236c28c665&format=llm_user) ## IBM watsonx.data Integrations - 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Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Data Management** - Data Migration - Managing Data - Secured Data Storage **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Model Development** - Feature Engineering **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Security** - Access Control - Roles Management - Compliance Management **Data as a Service** - Self-Service Isights - DaaS Quality **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Maintainence** - Data Quality Management - Policy Management **Architecture** - Data Fabric Creation - DaaS Architecture **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top IBM watsonx.data Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (711 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 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