--- title: IBM watsonx.data Reviews meta_title: 'IBM watsonx.data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 164 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: 164 scale: '5' date_modified: '2026-07-17' 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:** 164 ## 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. IBM watson.data is a Reliable Data Integration and Secure Hybrid Cloud Management System. **Rating:** 4.5/5.0 stars **Reviewed by:** Simon R. | Python Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 27, 2025 **What do you like best about IBM watsonx.data?** IBM watsonx.data is an effective multiple projects data access across Hybrid Cloud and very secure data storage platform management platform and even its workload balancing capability is incredible and very reliable big data integration system. **What do you dislike about IBM watsonx.data?** This IBM system is very powerful and very friendly platform with simple implementation and easy to configure the functionalities. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data allows easy data accessibility, secure storage for the various IT projects and very useful data integration tool and the real time data analytics creation through the platform is excellent. ### 2. Scalable Lakehouse with Lightning-Fast Query Performance **Rating:** 5.0/5.0 stars **Reviewed by:** ADITYA K. | Cyber Security Analyst L1-UAM, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** February 16, 2026 **What do you like best about IBM watsonx.data?** Scalable lakehouse with fast query performance **What do you dislike about IBM watsonx.data?** Steep learning curve and complex setup initially **What problems is IBM watsonx.data solving and how is that benefiting you?** It solves scattered data and slow analytics by centralizing storage in a scalable lakehouse, helping us run faster queries, reduce data movement, and make quicker data-driven decisions. ### 3. Langflow by DataStax is hands down the best for multi-agent systems. **Rating:** 5.0/5.0 stars **Reviewed by:** Kevin S. | Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** March 28, 2025 **What do you like best about IBM watsonx.data?** As a dev who wants to get things done while staying flexible, this is a dream come true. You get all the drag-and-drop components for speed and simplicity - but you’re not locked in. You can create your own components and tweak almost anything to fit your needs. This means you can build complex components while still working with intuitive, easy-to-grasp flows. Custom code can quickly become a tangled mess, and no-code builders can feel too restrictive. Langflow strikes the perfect balance. Plus, it’s open-source, with a thriving community that’s making it better every day! You’ve just got to try it. I keep going to langflow.new whenever I want to test something real quick since there’s no login, and you can jump right in. 😄 **What do you dislike about IBM watsonx.data?** I only see two downsides. First, it has fewer integrations compared to other no-code tools like Make.com or n8n. That said, the crucial ones like Google Drive ,Gmail, etc. are already there. Plus, it’s more optimized for agentic systems, where it actually has the most integrations of any platform (vector DBs, model providers, etc.), so it makes sense. Second, startup time and initial runs can be a bit slow. Given how much functionality it packs, that’s understandable. But I’ve already seen huge improvements in this area, so I’m pretty confident it’ll keep getting better over time. **What problems is IBM watsonx.data solving and how is that benefiting you?** Super quick and easy vector DB setup for Langflow! ### 4. Flexible Platform with Powerful Integration and Hybrid Architecture **Rating:** 4.0/5.0 stars **Reviewed by:** Goutam T. | Associate software engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 23, 2025 **What do you like best about IBM watsonx.data?** I appreciate this platform for its hybrid and open architecture, as well as its support for multiple engines. I also like that it integrates with tools such as IBM Knowledge Catalog. **What do you dislike about IBM watsonx.data?** My main issues are the high rates and the complexity involved in learning how to use it. **What problems is IBM watsonx.data solving and how is that benefiting you?** I am abel to access my data from one place and it's AI ready as it simplifies finding and organizing the data. ### 5. Powerful Data Analytics and Visualization Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Tanmay M. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 16, 2026 **What do you like best about IBM watsonx.data?** It is very useful for data analytics and visualization. **What do you dislike about IBM watsonx.data?** It is taking time when updating data in the system. **What problems is IBM watsonx.data solving and how is that benefiting you?** It is solving data processing and data management. ### 6. It's good but not so good, actually the editor is not so good but other than that it is awesome **Rating:** 4.0/5.0 stars **Reviewed by:** Diwakar G. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2025 **What do you like best about IBM watsonx.data?** The best things about watsonx.data is its UI, the way it is designed I loved it and also ease of accessing every single thing on the platform **What do you dislike about IBM watsonx.data?** I can't say i dislike it but it is not upto my expectations from watsonx.data and it is Code editor of this platform, It can be design better and also there should be some flexibility like other code editor. **What problems is IBM watsonx.data solving and how is that benefiting you?** I had to learn and practice some technologies like Docker and kubernatics and for that i have to install it in my personal computer but in IBM watsonx.data it is not required we can use it very easily like virtual computer with taking that much space and also works perfectly ### 7. One place for everything **Rating:** 5.0/5.0 stars **Reviewed by:** Hari Y. | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about IBM watsonx.data?** I like the way it represented various sources of data and constructed queries for newbies **What do you dislike about IBM watsonx.data?** There is lot of scope to improvise this product and more easy way to implement the service **What problems is IBM watsonx.data solving and how is that benefiting you?** Its going to help us understanding the bad data and provide fix as needed ### 8. All-in-One Convenience with Impressive Storage Efficiency **Rating:** 4.0/5.0 stars **Reviewed by:** Akshay N. | Freelancer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** Having everything in one place is very convenient, and I also appreciate the storage efficiency it offers. That combination makes the experience great for me. **What do you dislike about IBM watsonx.data?** Honestly, I can't think of anything at the moment. **What problems is IBM watsonx.data solving and how is that benefiting you?** As I mentioned before, I appreciate being able to access everything in one place, and I also find it to be efficient in terms of storage. ### 9. Enterprise grade platform for powerful and extendible AI. **Rating:** 5.0/5.0 stars **Reviewed by:** Nithin A. | Data Science and Gen Ai Fellow, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2025 **What do you like best about IBM watsonx.data?** IBM WatsonX.data is known for its high capability to handle the integration of various data sources and delivering advanced AI powered analytics capabilities. It offers an easy to use UI that will help users to effectively work with, process and analyze big datasets. WatsonX.data shows remarkable scalability and versatility managing both structured and unstructured data formats. In addition, the platform’s machine learning and AI functionalities make it easy to extract actionable intelligence hereby placing it on the top of the list for businesses that want to benefit from data analytics at scale. **What do you dislike about IBM watsonx.data?** I think that IBM Watson X. data is intimidating for beginners, or for people who do not have experience in the advanced AI and data analytics. Getting up to speed with IBM WatsonX.data and working with large sets of data is challenging for the newcomers. On the other hand, though powerful, the platform might be intimidating to novice users because of the sweeping array of options, meaning that it is not a simple solution for people. Moreover, high system demands may make it unsuitable for organizations with little IT resources at their disposal or smaller teams. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data overcomes issues with managing big data effectively as well as facilitating rapid, growing analysis for machine learning and data science projects. IBM watsonx.data helps to achieve higher productivity in my work due to the ability to retrieve and analyze data faster. ### 10. Review of IBM watsonx.data **Rating:** 4.5/5.0 stars **Reviewed by:** Vijay Kumar L. | Cyber Security Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 09, 2025 **What do you like best about IBM watsonx.data?** Seamless Integration: Watsonx.data integrated smoothly with our existing hybrid cloud setup and data lakes, eliminating the need for costly migrations. It effortlessly pulled data from SQL databases, CRM platforms, and even legacy systems. AI-Powered Insights: The built-in automation for data governance saved us countless hours. For example, identifying anomalies in real-time transaction data became 40% faster, improving our fraud detection accuracy. Scalability: Handling terabytes of customer behavior data during peak sales periods was seamless. We scaled resources without downtime, which was a game-changer for quarterly reporting. Hybrid Flexibility: The ability to deploy on-premises and cloud environments gave us control over sensitive data while leveraging cloud elasticity for analytics workloads. **What do you dislike about IBM watsonx.data?** Learning Curve: Initial setup required deep dives into documentation, and some team members found the interface non-intuitive. However, IBM’s customer support provided helpful tutorials. Cost Considerations: While powerful, the pricing model may be prohibitive for smaller teams. We’d love more flexible tiers for mid-sized projects. **What problems is IBM watsonx.data solving and how is that benefiting you?** campaign analysis, watsonx.data correlated social media sentiment with sales data, revealing untapped customer segments. This led to a 15% boost in targeted ad ROI—a win our execs celebrated. ### 11. IBM WatsonX Efficient Capable AI Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Rhett P. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2025 **What do you like best about IBM watsonx.data?** IBM watsonx.data is a highly capable platform that includes a ton of features and capabilities. It has helped me expand my business and allowed me to tackle many more tasks than I was previously capable of **What do you dislike about IBM watsonx.data?** IBM watsonX data has a lot of features and functionality so it can be difficult to zero in on what features you need to best serve your business use case **What problems is IBM watsonx.data solving and how is that benefiting you?** Organization of customer data ### 12. Efficient Platform with Room for Simplicity **Rating:** 4.0/5.0 stars **Reviewed by:** Hari N. | Manager Ad Operations, Mid-Market (51-1000 emp.) **Reviewed Date:** November 15, 2025 **What do you like best about IBM watsonx.data?** I like how fast, flexible, and easy it makes managing and analyzing large datasets. **What do you dislike about IBM watsonx.data?** Sometimes the interface feels a bit complex, especially when navigating advanced features. **What problems is IBM watsonx.data solving and how is that benefiting you?** It helps me manage and analyze large datasets faster and more efficiently, which saves time and improves the accuracy of my insights. ### 13. Very user friendly **Rating:** 5.0/5.0 stars **Reviewed by:** Solange B. | Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2025 **What do you like best about IBM watsonx.data?** It's not complex, user-friendly interface. **What do you dislike about IBM watsonx.data?** Implementation processes (in any case, they are more generic) tend to take a little longer than expected. **What problems is IBM watsonx.data solving and how is that benefiting you?** Implementation ### 14. Very powerful and flexible platform for managing different variety of data. **Rating:** 4.0/5.0 stars **Reviewed by:** Aprajit S. | Sr. Executive - Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** August 07, 2025 **What do you like best about IBM watsonx.data?** Great while dealing with structured, unstructured and semi structured data. Highly scalable and easy to implement big data solutions. For me, the AI capabilities stand out like Gen Ai use cases such as RAG. It also has hybrid and multi-cloud deployment. **What do you dislike about IBM watsonx.data?** The cost is quite on the higher side and it highly depends on the IBM ecosystem, outside of it some dependencies fail. **What problems is IBM watsonx.data solving and how is that benefiting you?** Easily access all my data through a single entry point for updating daily trackers. Ai architecture and advanced analytics, drill through analytics are also very easy and fast to implement! ### 15. Powerful Data Platform with AI Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 13, 2025 **What do you like best about IBM watsonx.data?** The most impressive part, however, is how AI and analytics work together, enabling data query and management on both structured and unstructured formats from a single platform. It is also Agile, scale-outable, and interoperable with open data formats like Parquet and Iceberg. **What do you dislike about IBM watsonx.data?** IBM watsonx is undoubtedly powerful, but it is not without its drawbacks. For teams inexperienced with IBM’s ecosystem, the setup is multifaceted, the integration is tedious, and the ramp-up phase can be frustrating due to the advanced learning curve. Pricing models are often ambiguous for smaller teams, and along with uneven performance on larger datasets, it becomes increasingly costly. Furthermore, community support is limited and still in the developmental phase, leading to fears around vendor lock-in. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM Watsonx.data addresses critical issues concerning the accessibility, integration, and analytics of data at scale. It helps by consolidating structured and unstructured data across multiple clouds and on-premises systems utilizing an open data lakehouse framework. This allows me to analyze and parse through extensive datasets from various locations without physically relocating them, thus optimizing processes and minimizing expenses associated with storage. It also ensures governance, security, and AI model readiness which supports me by accelerating trusted decision-making while simplifying the operational processes from raw data into insights. ### 16. IBM watsonx.data: A Scalable Data Powerhouse for Enterprises **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** May 13, 2025 **What do you like best about IBM watsonx.data?** IBM watsonx.data shines with its ability to integrate smoothly into hybrid cloud setups, existing data lakes, and diverse sources like SQL databases or legacy systems-no pricey migrations needed. Built-in AI tools, including real-time anomaly detection and automated governance, speed up analytics and boost fraud detection accuracy. It scales effortlessly for large datasets (structured or unstructured) without lag, ideal for high-volume needs. Users praise its intuitive interface, strong security protocols, and unified data management, which simplifies access and analysis. **What do you dislike about IBM watsonx.data?** The platform’s learning curve is steep, especially for non-technical teams or those new to IBM’s ecosystem. Costs can escalate with data growth, and AI features demand hefty infrastructure. Some users report limited customization, slower support, and occasional hiccups integrating niche legacy tools. While robust, its smaller developer community (compared to open-source rivals) might slow peer-driven troubleshooting. **What problems is IBM watsonx.data solving and how is that benefiting you?** It pulls scattered data from silos—legacy systems, SQL databases, even cloud apps—into one place, so we’re not stuck fixing broken workflows or paying for messy migrations. The AI tools auto-detect risks (like fraud) and handle governance tasks that used to eat up hours. It also scales smoothly when we’re slammed with data-heavy projects, without crashing or slowing us down. ### 17. Ease in creating multiple buckets for different portfolios in an organization **Rating:** 5.0/5.0 stars **Reviewed by:** Venkat M. | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about IBM watsonx.data?** Reduces the time drastically and very easy to implement. **What do you dislike about IBM watsonx.data?** I can't think of anything that i do not like about watsonx.data **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx analyzes and processes lots of unstructured data and provides better customer support. ### 18. Good AI Platform **Rating:** 3.5/5.0 stars **Reviewed by:** Ankur V. | Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2025 **What do you like best about IBM watsonx.data?** enables highly customizable conversational AI across multiple channels like websites, mobile apps, WhatsApp, and Slack, supporting consistent user experiences . **What do you dislike about IBM watsonx.data?** Looks like fre more enhancement can be performed such as on result driven and response. **What problems is IBM watsonx.data solving and how is that benefiting you?** transforming over 1 million data points per second into immersive fan experiences via AI-driven content and personalization demonstrating practical enterprise deployment . ### 19. Optimizing RAG using Vector Search of AstraDB **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 24, 2025 **What do you like best about IBM watsonx.data?** AstraDB's Vector Search capabilities and the simple GUI interface of Langflow. Langflow made it easier to implement and effortlessly integrate the solution into the entire process flow. **What do you dislike about IBM watsonx.data?** It is a little pricey but it delivers on the promise of seamless and effortless integration **What problems is IBM watsonx.data solving and how is that benefiting you?** RAG search is common but highly inefficient. We set out to ease the challenges with RAG search, that is when we came across DataStax and we were able to optimize LightRAG further for our production ready use cases by leveraging vector search capabilities of AstraDB together with the workflow mapping of Langflow for our internal stakeholders and customers. ### 20. Easy and Reliable **Rating:** 4.5/5.0 stars **Reviewed by:** Hemanth kode M. | data analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 09, 2025 **What do you like best about IBM watsonx.data?** User friendly, easy click and connect features, End to end data services. i like the data security with governance, keep the lilits of the data. I frequently use this for my easy data integration and processing **What do you dislike about IBM watsonx.data?** cosstly to use with heavy resources, ifeel i should incorporate more anytical parts and streamlining of data **What problems is IBM watsonx.data solving and how is that benefiting you?** Watsonx is very reliable for non coding analysts with easy navigation and ease of integration of data. its a great platform to streamline data and great use of AI. Mainly it provide great data governance to share data across the team with no worries ### 21. WatsonX.data review **Rating:** 3.5/5.0 stars **Reviewed by:** amit b. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 07, 2025 **What do you like best about IBM watsonx.data?** Integration with all variety of data bases **What do you dislike about IBM watsonx.data?** Still exploring, will find more as our organization use it more **What problems is IBM watsonx.data solving and how is that benefiting you?** Generating data insights ### 22. how data be uplifted **Rating:** 4.0/5.0 stars **Reviewed by:** Mahesh M. | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about IBM watsonx.data?** easy of using and implementing, intergration **What do you dislike about IBM watsonx.data?** should be around security and accountavility **What problems is IBM watsonx.data solving and how is that benefiting you?** uplifting from legacy ### 23. A great way to learn to build AI applications and agents **Rating:** 5.0/5.0 stars **Reviewed by:** Alan K. | Chief Operating Officer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 23, 2025 **What do you like best about IBM watsonx.data?** It’s easy to start learning and building right away **What do you dislike about IBM watsonx.data?** I can’t think of anything right away. Developers may have a different opinion. **What problems is IBM watsonx.data solving and how is that benefiting you?** I used DataStax to build a demo that I can show to customers ### 24. watsonx.data review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Government Administration | Enterprise (> 1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about IBM watsonx.data?** that we can use the milvus database and that it connects easily to the rest of the ibm services. **What do you dislike about IBM watsonx.data?** Milvus: milvus admin permissions suck a little, whoever makes it has total control and access is totally seperate from rest of account permissions. **What problems is IBM watsonx.data solving and how is that benefiting you?** Solving the problem of holding our data for our project. ### 25. Review for Open House Leak House **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2025 **What do you like best about IBM watsonx.data?** I'm very impressed about the flexibilty it offers as Apache Iceberg and multiple query engines. The Way is it being deisgned for handling the AI data for application. The Feature of Data Governance & Quality Management **What do you dislike about IBM watsonx.data?** Complicated to Adoption, big learning curve Integration not that open, seems less capable. **What problems is IBM watsonx.data solving and how is that benefiting you?** It makes data more meaningful to us & we can use that data for analysis, which further leads to AI Capabilities . ### 26. Great tool for our future **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about IBM watsonx.data?** When paired correctly it can be very powerful **What do you dislike about IBM watsonx.data?** At first use it's a bit clunky and didn't give us what we really expected **What problems is IBM watsonx.data solving and how is that benefiting you?** We want to use it to identified structured and unstructured documents easily and get their data. ### 27. DataStax brings no-code AI Agents to life **Rating:** 5.0/5.0 stars **Reviewed by:** Diogo R. | Business Analytics and Data Science Instructor, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2025 **What do you like best about IBM watsonx.data?** Very easy to implement. Vast integrations with LLMs and databases. Easy and intuitive to use **What do you dislike about IBM watsonx.data?** The way Agents, tools, databases etc... connect can vary from one day to the other, significantly leading to the AI Agents' flows becoming unusable **What problems is IBM watsonx.data solving and how is that benefiting you?** The databases are really easy to implement ### 28. Personal review **Rating:** 4.5/5.0 stars **Reviewed by:** Qamar S. | Embedded Design Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 27, 2025 **What do you like best about IBM watsonx.data?** DataStax offers high performance, scalability, and enterprise-grade features built on Apache Cassandra, making it ideal for handling large-scale, real-time data. **What do you dislike about IBM watsonx.data?** Setting up and managing it can be complex, especially for beginners, and pricing may be high for smaller teams. **What problems is IBM watsonx.data solving and how is that benefiting you?** DataStax makes it easy to handle big data and ensures high availability with minimal downtime. It helps us scale smoothly and manage data across multiple locations. ### 29. Great tool to support our future **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about IBM watsonx.data?** it gives a view into data at an enterprise level **What do you dislike about IBM watsonx.data?** a little clunky especially at the beginning. not very intuitive either. **What problems is IBM watsonx.data solving and how is that benefiting you?** Accelerate growth and speed to market with new product offerings ### 30. Innovative model **Rating:** 3.5/5.0 stars **Reviewed by:** Tejas Jagannatha J. | Chief Executive Officer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 13, 2025 **What do you like best about IBM watsonx.data?** It has inbuilt data lakes, tools for security purposes. It has everything combined in one place that saves time and efforts. **What do you dislike about IBM watsonx.data?** It doesnt support with the other ecosystems like AWS. It has deep learning curve **What problems is IBM watsonx.data solving and how is that benefiting you?** Solves the challenge of analyzing the data , storing it and processing it has been made very easy. It's an all in one platform and that's how it benefited me. ### 31. Great experience with automation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about IBM watsonx.data?** it gets many unknown information from your data **What do you dislike about IBM watsonx.data?** sometimes it is to slow and cosumes to much energy **What problems is IBM watsonx.data solving and how is that benefiting you?** it gets a lot of our data and many unknown information ### 32. Working on free experimental database for open access, publicly sourced data **Rating:** 3.5/5.0 stars **Reviewed by:** Jonathan F. | Chief Technolog Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 17, 2024 **What do you like best about IBM watsonx.data?** The team has been in close contact throughout the process, providing tutorials and answers that helped us understand the expectations and processes. The benefits have been customer support **What do you dislike about IBM watsonx.data?** The tutorials often do not match my needs. I needed specific details to use the APIs in a format that did not match my expectations or possibly my needs. I am able to build apps that upload our data to DataStax. But I am unable to access the vector search parameters because the method that I used to upload the data is not the preferred method to query the database. In order to use the tutorials for querying the database, we would have to completely start from scratch with uploading the dataset using the same tutorials. Unfortunately, those tutorials are not set up in a manner that I understand how to upload the data. As such, I find that I might have to build my own database query pipeline This is a problem for ease of use, ease of integration, ease of implementation **What problems is IBM watsonx.data solving and how is that benefiting you?** We are starting a new, free experiment with DataStax to provide Wikidata's data to the world via a DataStax vector database. We are new to the process of vectorising our data. DataStax has been very helpful in assisting us to build the database and understand the implementation of a vectorised database for integrating our data. ### 33. DataStax has enabled us to build out game-changing features in our product **Rating:** 5.0/5.0 stars **Reviewed by:** Tim F. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 10, 2025 **What do you like best about IBM watsonx.data?** DataStax offers next-level customer support with a great product. The team is always available and eager to help. Astra DB has allowed us to build out some pretty unique features that our customers are loving. I'd recommend their tech to anyone building an AI-first company. **What do you dislike about IBM watsonx.data?** We have not had any issues. The DataStax team and product have been great. **What problems is IBM watsonx.data solving and how is that benefiting you?** We're using DataStax's products to enhance our ability to offer a unique and customizable experience with our product. Without going into our IP too much, DataStax has enabled some key features that have helped us to stay meaningfully differentiated. ### 34. Superb database for AI generative models. **Rating:** 5.0/5.0 stars **Reviewed by:** Raul V. | CEO, Mid-Market (51-1000 emp.) **Reviewed Date:** August 08, 2024 **What do you like best about IBM watsonx.data?** IBM Watsonx is an open source tool that contains safe features and by which I have successfully integrated it with my company's data process system. The intention was to create a secure AI based process system that the company could rely upon. The reason we set up IBM Watsonx as part of our new AI projects at first is for the good data science that comes along. For this cause, Watsonx is one of the most scalable tools. **What do you dislike about IBM watsonx.data?** Even though IBM watsonx.data is very scalable, it is also very costly and resource heavy and the cost can drastically increase as you try to analyze large amount of data and you may even notice slight lag too. **What problems is IBM watsonx.data solving and how is that benefiting you?** I think you should put your money into IBM Watson if you can afford it. Along this line, we are definitely utilizing the models of APIs to build a sustainable flow workplace. We do give support for AI and ML application on an ongoing basis. ### 35. A perfect technology partner to build AI applications **Rating:** 5.0/5.0 stars **Reviewed by:** Marius N. | Co-Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2024 **What do you like best about IBM watsonx.data?** Astra's Vector capabilites is one of the foundations of our product. From vectorising product catalogues and partner data to searching complex queries, in real-time, on unstructured data, it's an incredibly powerful tool. When working with larger brands it's imperative that we're enterprise-ready, that our models are fully customizable and can be hosted in partner environments - something which DataStax allows us to do. Finally, the team at DataStax are just awesome. They have been supportive from day 1, supporting us from MVP to enterprise-ready software. The team do an amazing job at ensuring the tech is up to date and providing us with great support whenever we need it. **What do you dislike about IBM watsonx.data?** There isn't much to dislike about DataStax. The team and product is brilliant. **What problems is IBM watsonx.data solving and how is that benefiting you?** Vexctorising unstructured data and providing large customers with an enterprise-ready solution. ### 36. Short review **Rating:** 4.5/5.0 stars **Reviewed by:** Dheeraz C. | Advanced Application Engineering Senior Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** It's perfect and unique which helps all the stakeholders in the future. **What do you dislike about IBM watsonx.data?** 1. Complexity: Setting up and configuring the platform may be challenging for users without prior experience or technical knowledge in big data environments. 2. Pricing: For small or medium-sized enterprises, the cost associated with Watsonx.data could be considered high compared to other cloud-based data platforms. 3. Integration challenges: Although Watsonx.data supports multiple data sources, integrating with certain legacy systems or less common third-party tools might require additional effort. 4. Learning curve: For users new to IBM's ecosystem, mastering the various features and functionalities of Watsonx.data could take time. **What problems is IBM watsonx.data solving and how is that benefiting you?** 1. Unified Data Access: It enables access to diverse data sources (structured, unstructured, and semi-structured) from a single platform, eliminating the need to move or duplicate data across systems. Benefit: This simplifies data management, allowing easier analysis and decision-making from a unified interface, improving productivity. 2. Scalable Data Processing: Watsonx.data supports large-scale analytics with distributed computing and integration of big data technologies like Apache Spark and Hadoop. Benefit: This helps in processing massive datasets efficiently, which is crucial for data-driven decision-making in real-time scenarios. ### 37. Astra DB adoption in Enterprise **Rating:** 5.0/5.0 stars **Reviewed by:** SP (Saladi Pullaya) N. | Director, Mid-Market (51-1000 emp.) **Reviewed Date:** August 13, 2024 **What do you like best about IBM watsonx.data?** Datastax was able to provide enterprise class product for an Open Source project Apache Cassandra. It is continuing to contribute to open source project. Datastax provides multiple offerings of Cassandra - Dedicated On prem model, Managed Service and Pay per use model. While migrating from Self managed to Datstax Astra DB, it was ease of implementation that made migration super successful. On going improvements to the product with its roadmap is great to work with **What do you dislike about IBM watsonx.data?** Datastax Enterprise Support is still not completely matured, it is still work in progress. **What problems is IBM watsonx.data solving and how is that benefiting you?** We wanted to address two problems - Ongoing maintenance of clusters and high cost associated with Self managed Apache Cassandra clusters. By migrating to Astra DB Database as Service pay per use model, we are able to solve both the problems effectively ### 38. The top data tool that can handle any and all requirements of a company. **Rating:** 4.5/5.0 stars **Reviewed by:** Sheron Y. | Manager, Finance, Small-Business (50 or fewer emp.) **Reviewed Date:** July 30, 2024 **What do you like best about IBM watsonx.data?** IBM Watsonx.data is the best choice for the safe use and best-featured data for your management. Working in a large collection just when needed, starting from scratch up to using the data to get solutions for various data problems, could be helpful in terms of time and effort. With WatsonX.Data, we can quickly train, tweak, and test different machine learning models and then put them to use. The sandstone models are used for fine-tuning tasks that are specific to them, and granite is the base for GPT-like architecture. It saves time, money, friendly to the environment, and is also so much effective. **What do you dislike about IBM watsonx.data?** The APIs integration could be improved and the performance lag should be reduced also. **What problems is IBM watsonx.data solving and how is that benefiting you?** With it we can quickly train, teak, and test different machine learning models, which saves us both time and money. ### 39. IBM Watson studio best for learning and application for machine learning **Rating:** 4.0/5.0 stars **Reviewed by:** Mashhood S. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 13, 2025 **What do you like best about IBM watsonx.data?** Best in using loaded data interact with datasets and use accordingly and learn with projects **What do you dislike about IBM watsonx.data?** UI can be more specific and easy to understand the flow **What problems is IBM watsonx.data solving and how is that benefiting you?** Learning project through ciursera ### 40. More than a partner **Rating:** 4.0/5.0 stars **Reviewed by:** 💎Gianni M. | Freelance Rails Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 24, 2024 **What do you like best about IBM watsonx.data?** I started using AstraDB because it was mentioned as one of the options available to implement memory in Langchain. The implementation was straightforward and it's worked seamesly from day one. In the DataStrax team I found a reliable partner and they helped me to find solutions when I was stuck in the process, advicing and using their experience and experties to our service. **What do you dislike about IBM watsonx.data?** Honestly nothing. Even when my requests were outside their main experities, they found a way to be supportive. **What problems is IBM watsonx.data solving and how is that benefiting you?** Storing conversation for a GenAI application ### 41. IBM Watsonx.data is one of the best Data Analysis tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Victor L. | CEO, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2024 **What do you like best about IBM watsonx.data?** After almost five years of use, I must say that I have been very impressed by IBM Watsonx.data. However, this is such a powerful and intuitive platform for easier data administration and analysis. Due to its adaptability, it can deal with different data types. It interacts seamlessly with the AI tools. The most striking feature is the visualization of data with advanced analytics. It could handle both structured and unorganized data with absolute brilliance, thus increasing my productivity by significant margins. Watsonx.data has been my tool of choice in all my data work. **What do you dislike about IBM watsonx.data?** IBM Watson.data is very resource heavy and since the introduction of AI, it can consume quite a bit of RAM. So the cost can drastically increase if you don't keep an eye on how much resources it is consuming. **What problems is IBM watsonx.data solving and how is that benefiting you?** Unlike other data analysis platform, IBM watsonx.data can deal with different types of data types and is much more quicker and efficient. ### 42. Quality of Product **Rating:** 5.0/5.0 stars **Reviewed by:** Venkat Koushik S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 27, 2024 **What do you like best about IBM watsonx.data?** It is safe to use with high security. This helps businesses extract meaningful patterns and predictions, making data-driven decision-making much more efficient. It supports multi-cloud and hybrid data deployments, which gives businesses the flexibility to choose their cloud providers while maintaining control over their data. **What do you dislike about IBM watsonx.data?** Managing and configuring the full range of tools may require a steep learning curve. This might make it harder or more expensive to switch to another provider down the line.Compared to more widely used open-source tools like Apache Hadoop or Spark, Watsonx.data has a smaller community of developers and experts. **What problems is IBM watsonx.data solving and how is that benefiting you?** This helps users create a single source of truth for all their data, making it easier to access, manage, and analyze. Users benefit from faster insights and AI-powered automation, helping them make quicker, more informed decisions. ### 43. Overview **Rating:** 3.0/5.0 stars **Reviewed by:** Oluwaseyi A. | User Experience Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** May 21, 2025 **What do you like best about IBM watsonx.data?** Scalability of architecture Less downtime **What do you dislike about IBM watsonx.data?** Nothing so far, Still observing the system **What problems is IBM watsonx.data solving and how is that benefiting you?** Downtime reduction ### 44. My Experience with IBM watsonx.data **Rating:** 5.0/5.0 stars **Reviewed by:** Nani B. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** September 27, 2024 **What do you like best about IBM watsonx.data?** IBM watsonx.data is user friendly with an intuitive interface ,making it easy to navigate. It provides powerful analytics capabilities and integrates seamlessly with other IBM tools enhancing overall efficiency and data management. **What do you dislike about IBM watsonx.data?** Setup can be challenging with different data environments It takes time to learn all the features Customization options could be limited userfriendly Limited support resources may slow down the learning process **What problems is IBM watsonx.data solving and how is that benefiting you?** Simplified Data Integration: Enhanced team collaboration through easy integration of multiple data sources. Efficient Data Management: Easier handling of structured and unstructured data for quicker insights. Faster Decision Making: Real time analytics enable quick adaptation to market changes. Scalable Performance: Maintains strong performance as data volume grows. Robust Security:Protects sensitive data ,ensuring peace of mind. Improved Efficiency: Supports better decisionmaking across projects. ### 45. My review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2025 **What do you like best about IBM watsonx.data?** The IBM watsonx.data has the built-in machine learning features.so it helps us to find the risk,fraud and autumate the services. It is helpful in financial services like finding frauds,risk factors of financial growth/development etc. **What do you dislike about IBM watsonx.data?** Most dislike about watsonx.data is like sometimes it is too slow. **What problems is IBM watsonx.data solving and how is that benefiting you?** It is helping us to process the larger data sets efficiently. ### 46. Started with comparison, but ended up using it for for my MVP **Rating:** 4.0/5.0 stars **Reviewed by:** Baraar Sreesha S. | GenAI Research Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** November 14, 2024 **What do you like best about IBM watsonx.data?** I would really stress on the Simplicity, when compared to other vectorstores I really liked the astradb and Langflow as well where I played around rag for my MVP and I was the one to introduce the langflow in my team **What do you dislike about IBM watsonx.data?** DataStax has a steep learning curve and high costs. **What problems is IBM watsonx.data solving and how is that benefiting you?** For rag basically and also used it to compare it with other databases ### 47. Drives Efficiency and Governance through Streamlined Data Analaysis and Visualization **Rating:** 4.5/5.0 stars **Reviewed by:** Raneem M. | Chief Financial Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2024 **What do you like best about IBM watsonx.data?** I really appreciate how it integrates comprehensive data warehouse optimization with performance analysis and antrual language processing. It handles missing values, outliers, and provides real-time insights and exceptional data visualization. **What do you dislike about IBM watsonx.data?** For users unfamiliar with advanced features like machine learning models and RAG, there might be a learning curve. The support documentation is thorough but navigationg these features can be complex. **What problems is IBM watsonx.data solving and how is that benefiting you?** Watsonx.data has greatly enhanced our data strategy by integrating large financial datasets, optimizing performance, and delivering real-time insights and visualization. Its strong data governance and advanced analytics, including machine learning and natrual language analysis, significantly boost our decision-making and operational efficiency. ### 48. IBM watsonx.data is both secure and scalable and suitable for big data analysis. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about IBM watsonx.data?** Watson. data from IBM provides central data access and administration capabilities to streamline data governance and avoid duplication, which makes it ideal for artificial intelligence and analytics applications. Multiple engines and tools can query and process the same data simultaneously, courtesy of the support for open table formats that include apache iceberg. It also brings in variable degrees of deployment options to meet differing organizational needs, including managed services on both ibm cloud and aws, as well as self-managed applications on-prem. This will allow businesses to quickly infuse AI into their operations to enhance productivity and make better decisions, smartly integrated with other ibm ai technologies like watsonx.ai. **What do you dislike about IBM watsonx.data?** When we first setup IBM watsonx.data, we had to go through a number of problems as it did not integrate with our existing system properly. So we had to constantly seek help from the official IBM support team. But after integrating it, we had no major issues and it is working correctly. **What problems is IBM watsonx.data solving and how is that benefiting you?** It does well in integrating and managing massive datasets from a myriad of sources. This leads to my ability to centralize my data, hence improving governance over the data while also streamlining processes. Now, with this, my analyses are more precise, and therefore I spend less time in data preparation. ### 49. Modelling data pipelines, code design and optimization of workflows **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** IBM Watson provided a centralized platform for data access and administration, simplifying data governance and reducing redundancy. It is well-suited for AI and analytics applications, enabling multiple tools and engines to query and process the same data simultaneously. This is made possible by support for open table formats like Apache Iceberg. Watson also offers a range of deployment options, including managed services on IBM Cloud and AWS, as well as self-managed on-premise solutions. These capabilities allow organizations to integrate AI swiftly into their operations, improving productivity and decision-making, while seamlessly working alongside other IBM AI technologies such as Watsonx.ai. **What do you dislike about IBM watsonx.data?** IBM watsonx does not seem to be integrated seamlessly with our bigdata pipelines. We had to alter the systems and take support from IBM to resolve the issues. After that everything seems to be good. **What problems is IBM watsonx.data solving and how is that benefiting you?** Duplication is bigger problem in maintaining our data. Watsonx provided better solution for it. Along with consistency in data models. ### 50. Much needed for current data needs **Rating:** 4.0/5.0 stars **Reviewed by:** Sarath Kumar T. | Consultant Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 21, 2024 **What do you like best about IBM watsonx.data?** What stands out most to me about Watsonx.data is its data virtualization and AI integration. The ability to access and manage data without moving it, combined with the seamless integration with IBM's AI tools, offers powerful capabilities for businesses looking to leverage AI at scale while maintaining flexibility across hybrid cloud environments. **What do you dislike about IBM watsonx.data?** The complexity of setting up and managing Watsonx.data can be a drawback, especially for organizations that aren't familiar with IBM technologies or hybrid cloud systems. It may require significant expertise and resources, which could limit its accessibility for smaller teams or companies with simpler data needs. **What problems is IBM watsonx.data solving and how is that benefiting you?** Sata transformation, cleanings, distributed storage and processing - [View IBM watsonx.data pricing details and edition comparison](https://www.g2.com/products/ibm-watsonx-data/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-21+08%3A37%3A29+-0500&secure%5Bsession_id%5D=4f589d55-2ceb-4358-ae4c-20810c0afd8c&secure%5Btoken%5D=7dd2124584be6eac0531c54a0cf5165f0acbdd6b337aced5be843dada7722cc3&format=llm_user) ## IBM watsonx.data Integrations - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Apache Spark for Azure HDInsight](https://www.g2.com/products/apache-spark-for-azure-hdinsight/reviews) - 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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 - 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