--- title: IBM watsonx.data Reviews meta_title: 'IBM watsonx.data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 173 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: 173 scale: '5' date_modified: '2026-08-14' 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:** 173 ## 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 watsonx.data: Flexible Lakehouse SQL on Object Storage with Iceberg Support **Rating:** 4.5/5.0 stars **Reviewed by:** Swamy G. | Founder, Mid-Market (51-1000 emp.) **Reviewed Date:** February 18, 2026 **What do you like best about IBM watsonx.data?** I used IBM watsonx.data in several client projects over the past few months, mainly for data-heavy tasks where we needed a lakehouse-style setup. What I liked most is that it allowed us to keep data in object storage while still querying it with SQL, without needing to move everything into a traditional warehouse. This cut down on a lot of unnecessary data duplication. The support for open formats like Iceberg was truly helpful. In one project, we had schema changes halfway through. Being able to manage versioning without disrupting existing queries saved us time. **What do you dislike about IBM watsonx.data?** The initial setup took us some time, especially when it came to configuring storage and access controls. It’s not exactly plug-and-play, so there is a learning curve for teams new to lakehouse architectures. We also needed to review the documentation closely to understand some configuration steps. Once it was set up, it worked well. However, onboarding could definitely be smoother. **What problems is IBM watsonx.data solving and how is that benefiting you?** In some of our projects, we faced scattered data across various storage systems. This made analytics and reporting slower and more difficult to manage. With watsonx.data, we centralized data in object storage and could query it directly without having to move it into separate warehouse systems. This reduced data duplication and simplified our pipeline design. It also allowed our team to run analytical queries faster and prepare datasets for ML workflows more efficiently. Overall, it improved collaboration between data engineers and analysts, as everyone could work on the same governed data layer. ### 2. Efficient Data Management with Powerful Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Sai pavan kumar D. | Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** February 18, 2026 **What do you like best about IBM watsonx.data?** I use IBM watsonx.data to handle and access large amounts of data, and it's great for fast querying and analytics. I really like that the platform helps me handle large and complex datasets and does a good job with storage optimization, which helps decrease computational costs. The efficiency of the system is impressive, particularly with the lakehouse architecture, which supports high performance use. I appreciate the platform's integration with different AI tools, which enhances its utility for me. The analytics tools are strong, helping me monitor heavy workloads. It also enables easy extraction of insights from raw data and supports training and deploying machine learning models within the lakehouse. The BI tools assist in creating dashboards for outputs across developed models and usages. **What do you dislike about IBM watsonx.data?** Most of all the whole platform and usability were good but what I feel could be improved is the platform's documentation. In the initial times, I found it hard to understand the documentation which is not fully understandable for new users. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to handle large datasets efficiently. It optimizes storage, reduces computational costs, and supports fast querying. The platform's integration with AI tools enhances insight extraction and model deployment. I switched from MongoDB Atlas for improved performance and easier data export. ### 3. Hybrid Data Solution with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Bala C. | System Analyst **Reviewed Date:** February 17, 2026 **What do you like best about IBM watsonx.data?** I like IBM watsonx.data's ability to unify data across hybrid environments while controlling costs and supporting both structured and unstructured data for AI. Its open architecture and strong integration capabilities provide flexibility and prevent vendor lock-in, making it easier to turn diverse data into actionable insights. These capabilities allow us to centralize fragmented data across environments, reduce infrastructure costs, and efficiently power AI models with diverse datasets for faster and more informed decision making. **What do you dislike about IBM watsonx.data?** Some areas for improvement include simplifying initial setup and configuration, enhancing performance tuning guidance, and providing more intuitive management and monitoring tools. Improve documentation, simplify deployment, enhance performance, and strengthen governance tools. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to overcome data silos and high storage costs, unifying data from various environments. It supports AI by leveraging both structured and unstructured data, centralizing fragmented data for informed decision-making while controlling infrastructure costs. ### 4. A Unified, Scalable Data Lakehouse **Rating:** 4.5/5.0 stars **Reviewed by:** SWAPNIL S. | DevOps Engineer, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** November 25, 2025 **What do you like best about IBM watsonx.data?** IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us flexibility to store data in different formats while still enabling fast analytics. The built in governance, metadata management and seamless integration with open-source engines like Presto and Spark have significantly improved our query performance. **What do you dislike about IBM watsonx.data?** The inititial setup required some learning, especially for configuring connectors and access policies. Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model **What problems is IBM watsonx.data solving and how is that benefiting you?** It helped us centralize our data, eliminate data silos, and dramatically improve query performance. Reporting has become faster, governance is more consistent, and overall decision-making has improved. Cost optimization through workload separation has also been a major benefit. ### 5. Unified Lakehouse with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Ganesan C. | Senior associate consultant , Enterprise (> 1000 emp.) **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I truly appreciate the unified lakehouse feature of IBM watsonx.data, as it allows me to keep all types of data in a single platform, which significantly simplifies analytics and eliminates the hassle of juggling multiple tools. I love the cost-efficient queries; being able to choose the best engine for the workload helps to reduce compute costs and boosts performance, which is a major asset. The strong governance capability is another aspect I value greatly, as it provides centralized access control and data cataloging. This ensures that data remains secure, compliant, and trusted—qualities crucial for enterprise environments. Additionally, the easy access to data across both cloud and on-premises systems without needing to relocate it is incredibly time-saving and reduces the effort required for data queries. Overall, these features make IBM watsonx.data an invaluable resource for managing and analyzing enterprise data. **What do you dislike about IBM watsonx.data?** Setting up IBM watsonx.data can be complex, requiring skilled expertise, which creates a barrier for new users. The user interface has a learning curve and needs refinement to be more user-friendly. While integration works well with IBM tools, it needs improvement for non-IBM ecosystems, particularly in supporting multi-cloud systems, which can slow down adoption for organizations using diverse technological environments. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to manage and analyze enterprise data efficiently in a unified lakehouse, reducing costs and improving performance with cost-efficient queries. Its strong governance and easy access to data enhance security and compliance, streamlining AI application development. ### 6. Data Ingestion **Rating:** 3.5/5.0 stars **Reviewed by:** firdous ahmad B. | cloud architect, Mid-Market (51-1000 emp.) **Reviewed Date:** September 30, 2025 **What do you like best about IBM watsonx.data?** Architecturally watsonx.data is best where you could add as many as catalogs and federation has been made easy. access control makes a big difference so does the multi engines like presto,spark,db2warehouse etc. **What do you dislike about IBM watsonx.data?** I wish the integration part is tightly attached to watsonx.data UI in order to run jobs directly from watsonx.data UI rather than going into other services like integration and run job from there.I found many issues with Presto c++ when inserting the data , i dont know if that is limitation: Limited File Format Support Restricted Table Creation Syntax & Compatibility Issues Catalog Limitations Data Ingestion Challenges:Can't load CSV directly into tables using code: Presto/Trino vs Other Technologies: Feature Presto/Trino Spark SQL Databricks DML Operations ❌ Limited ✅ Full ✅ Full CSV Support ❌ Limited ✅ Full ✅ Full Delta Lake ❌ No ✅ Yes ✅ Native Table Creation ❌ Restricted ✅ Full ✅ Full Data Ingestion ❌ Complex ✅ Easy ✅ Easy **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data solved the data silos ### 7. Reliable Tool for Handling Large and Mixed Data **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 23, 2025 **What do you like best about IBM watsonx.data?** What I like most about IBM watsonx.data is that it brings different types of data into one place in a clean and organized way. The interface is simple to understand, so it didn’t take me long to get comfortable using it. It also handles larger datasets quite well, which is useful when working on analytics or reporting tasks. I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother. **What do you dislike about IBM watsonx.data?** The main thing I don’t like is that the initial setup takes some time, especially for someone not familiar with IBM’s overall environment. A few parts need multiple configuration steps, and I had to go through the documentation several times to understand how certain features worked. Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data helps me organize different types of data in one central place, which makes daily data work much easier. Before this, data was spread across different systems and it was time-consuming to manage access and keep everything consistent. With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis. ### 8. Unified Data Access with Smooth AI Integration **Rating:** 3.5/5.0 stars **Reviewed by:** Siddhant K. **Reviewed Date:** November 23, 2025 **What do you like best about IBM watsonx.data?** I enjoy how IBM watsonx.data lets me access all my information from a single spot, regardless of where it's saved across various setups. It handles both organized and unstructured data smoothly, allowing for fast operations and cost savings while enabling me to uncover answers more quickly. I also appreciate its smooth AI integration and strong governance features that keep my data secure and well-managed. Furthermore, it provides a unified environment where I can use SQL, analytics, and AI tools together, simplifying work processes for different teams. The platform's support for federated queries makes analyzing data faster without the need for heavy ETL processes, and its ability to handle complex and messy data alongside clean tables under one roof is highly beneficial. **What do you dislike about IBM watsonx.data?** Some aspects of IBM watsonx.data could be improved. Initially, it's challenging to navigate due to a steep learning curve, and the layout can be overwhelming for beginners. Integrating it with certain external applications requires more steps than necessary, which could be streamlined. A cleaner design and smoother setup process would facilitate easier adoption for new users. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data consolidates scattered data, reduces cost with a lakehouse approach, simplifies handling unstructured data, unifies tool usage, and enhances governance. It speeds up insights with federated queries, supporting both structured and unstructured data retrieval efficiently. ### 9. Easily Integrate with Powerful Exploration Features **Rating:** 4.5/5.0 stars **Reviewed by:** RUPESH R. **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I really appreciate the capabilities of IBM watsonx.data in supporting my recent project, particularly for creating a function to change the localhost to an IP address on a local machine. This tools adds to my confidence and allows me to explore and gain deep knowledge on specific topics and points relevant to my coding needs. I find it incredibly valuable for running complex concepts and generating PDFs on a Linux server, which is highly beneficial for my project requirements. The integration simplicity particularly stands out for me, as it's very easy to integrate, especially when using AI agents. It supports creating chatbots or AIAgents seamlessly, which expands my ability to implement AI solutions efficiently. **What do you dislike about IBM watsonx.data?** I faced a challenge with the key generator during the initial setup of IBM watsonx.data, which made the setup process difficult. **What problems is IBM watsonx.data solving and how is that benefiting you?** I find IBM watsonx.data simplifies my project tasks by transforming localhost to IP addresses and facilitates deep exploration and understanding of complex concepts, especially for generating PDFs and creating AI agents efficiently. ### 10. Fast and Intuitive, Yet Needs Streamlined UI **Rating:** 4.0/5.0 stars **Reviewed by:** Shweta B. **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I like that IBM watsonx.data is fast and easy to use. It allows me to store all my data in one place and execute quick queries, which is essential for managing large datasets. I appreciate its seamless integration with AI and analytics tools, simplifying my workflow. The platform helps me manage big data efficiently, reducing my struggles with slow queries and messy data. I value how it works well with cloud storage and BI tools like Power BI and Tableau, facilitating organized data visualization in BI dashboards. The initial setup was relatively smooth, aided by comprehensive documentation, which made the transition hassle-free. **What do you dislike about IBM watsonx.data?** Sometimes the platform feels heavy when switching between different tools or views. A few advanced features take extra clicks to reach, and I think the UI could be more streamlined. Also, integrations outside the IBM ecosystem could be a bit smoother. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to manage large datasets effectively, improving my experience by reducing issues with slow queries and messy data, and enhancing my work with fast, easy-to-use features that integrate well with AI, analytics tools, and BI dashboards. ### 11. Intuitive UI, With Some Response Delays **Rating:** 3.5/5.0 stars **Reviewed by:** KARTIK J. **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I like the intuitive user interface of IBM watsonx.data, as it makes the setup process fairly easy and minimizes the need to overthink due to its well-organized layout. The UI placement is very thoughtful, ensuring that I can navigate the software without having to search around or get confused about where things are. This ease of use and intuitive design are significant benefits when working with data structuring, as I use IBM watsonx.data for normal factoring of data. Overall, the product's UI stands out as a highly positive aspect that contributes to a streamlined and efficient user experience. **What do you dislike about IBM watsonx.data?** I find there is a significant delay in the response time, which can be frustrating. Additionally, IBM watsonx.data sometimes encounters issues with my proxy server, causing it to get blocked, which disrupts my workflow. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data for normal factoring and structuring of data, benefiting from its intuitive UI that simplifies data management without the need to think much about placement. ### 12. User-Friendly Interface and Seamless Open-Source Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Madhav M. | Associate DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 15, 2025 **What do you like best about IBM watsonx.data?** The user-friendly interface makes it easy to work with data, and the platform’s foundation on open-source software helps avoid vendor lock-in. This also allows for seamless integration with existing data stored in other cloud storage solutions, such as Azure Blob. **What do you dislike about IBM watsonx.data?** The lack of support for JSON or multi-file inputs in batch deployment jobs is a significant drawback. Additionally, some data types, such as char and time, are not handled properly, and there are also restrictions on the maximum length allowed for varchar fields. **What problems is IBM watsonx.data solving and how is that benefiting you?** We use multiple cloud providers, which has resulted in our data being fragmented across different cloud zones. This fragmentation makes it challenging to obtain a unified view of our data, and we are unable to rely on a single storage system because clients sometimes require us to use the cloud service they already have, such as data stored in azure blob or aws s3. watsonx data addresses this issue by providing a single point of entry to access all our data. ### 13. Reliable Data Access with a Steep Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Aman K. | Programmer Analyst Trainee **Reviewed Date:** November 14, 2025 **What do you like best about IBM watsonx.data?** I use IBM watsonx.data primarily for training my AI models, and it significantly aids me in my learning purposes. The standout feature for me is its reliability, which provides governed, high-performance, and consistent access to data across hybrid environments. The platform's ability to use open formats along with robust metadata management is a huge advantage. I appreciate that I can access data from anywhere in a very hassle-free manner, which solves a common problem for me because, in my experience, similar models tend to require a lot of information, making them ultimately unusable. These aspects make IBM watsonx.data an excellent tool for my requirements. **What do you dislike about IBM watsonx.data?** I find that IBM watsonx.data could improve its ease of use. It has a steep learning curve which makes it less accessible for beginners. The user interface is not very intuitive, adding to the difficulty of using the software effectively. Setting up the application is complex unless you thoroughly understand the necessary steps. Moreover, there is limited seamless integration with non-IBM tools, which could hinder its use in environments that rely on diverse software solutions. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data for training AI models. It solves access issues by enabling data access from anywhere with high performance and consistent data across environments, reducing the hassle compared to other models. ### 14. Real-Time Data Analysis with Effortless Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Urvish T. **Reviewed Date:** November 14, 2025 **What do you like best about IBM watsonx.data?** I greatly appreciate IBM watsonx.data's real-time data analysis capabilities and robust storage. They are essential for handling data related to active user interactions, enabling me to generate real-time recommendations that enhance user experience. The platform effectively solves data streaming and storage issues for my applications, which focus on monitoring user behaviors and interactions with stories. The initial setup was straightforward, making it easy to create data flow pipelines, contributing to its user-friendly nature. Because of these features and overall performance, I find it to be a complete solution that meets my needs without the need to look elsewhere, rating it highly at 9.5 out of 10. **What do you dislike about IBM watsonx.data?** I haven't used any other service, and I liked what I used **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data for data streaming, storage, and real-time analysis, which enhances user behavior insights and allows us to generate immediate recommendations. ### 15. Unified Data Access that Streamlined Our Data Fragmented Environment **Rating:** 4.5/5.0 stars **Reviewed by:** Charan S. | (ISC)² Volunteer, Enterprise (> 1000 emp.) **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I would say IBM watsonx.data has stopped us from juggling between different tools. We as a team get the data from different sources - customer interaction data, transaction logs and unstructured documents then watsonx.data brings it all together in an open lakehouse format. Now we have the ability to query this data with different engines, it greatly reduced our turnaround time. **What do you dislike about IBM watsonx.data?** Only thing which our team had difficulty in performance tuning for watsonx.data. As it offers different engines for different workload, some of our team members ran a heavy job on wrong engine which isn't suitable for that task then we had to standardize our internal guidelines. **What problems is IBM watsonx.data solving and how is that benefiting you?** As we were handling sensitive customer data, governance was one of the time consuming task for us. Watsonx.data has the built in governance, policy enforcement which makes the compliance easier. ### 16. Effective Workloads Optimization and Nice Real-Time Data Analytics Platform. **Rating:** 4.5/5.0 stars **Reviewed by:** Christine G. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 03, 2025 **What do you like best about IBM watsonx.data?** This system simplifies data accessibility and data storage and the ability to migrate multiple IT projects data its excellent and easy optimize workloads. Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master. **What do you dislike about IBM watsonx.data?** Useful and very friendly system to get used to and its implementation process is quite simple, and no serious training needed during the initial point. **What problems is IBM watsonx.data solving and how is that benefiting you?** Helpful on Cloud data secure storage and easy to access all the required business data and even to integrate across other platforms is amazing and excellent solution metadata easy management and creating clean and reliable real time data reports and analytics through this IBM tool is effective. ### 17. Cost-Effective and Flexible, Needs UI/UX Improvements **Rating:** 4.0/5.0 stars **Reviewed by:** amir a. | Senior Software Developer **Reviewed Date:** February 16, 2026 **What do you like best about IBM watsonx.data?** I like using IBM watsonx.data because it is cost-effective and flexible for working in a hybrid cloud environment. It makes it easy for me to restructure my data and organize unstructured data, which helps me understand the correct picture of the business. Additionally, setting up IBM watsonx.data was quite easy. **What do you dislike about IBM watsonx.data?** Sometimes performance and also UI/UX need to be improved. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to organize unstructured data, helping me understand the correct picture of business. ### 18. Effortless Data Integration and Performance for Real Teams **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Media Production | Small-Business (50 or fewer emp.) **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** The best thing about IBM watsonx.data is how easy it makes working with data from different sources without forcing everything into one system. I like that I can query data across warehouses, lakes, and other storage layers in one place instead of constantly moving or duplicating data. The performance is solid even with large datasets, and the integration with open formats like Iceberg is a big plus because it keeps things flexible and not vendor-locked. The UI isn’t flashy, but it’s clean and practical — it’s easy to onboard new people without a huge learning curve. Overall, it feels like something built for real data teams rather than just a marketing buzzword tool. **What do you dislike about IBM watsonx.data?** What I dislike about IBM watsonx.data is that some parts of the platform still feel like they’re evolving. Features are there, but not always as polished or smooth as you’d expect. The setup requires a bit more configuration compared to newer SaaS data platforms, and if you’re not already familiar with the IBM ecosystem, the learning curve can feel steeper than needed. Documentation is good but scattered, so sometimes you’re switching between pages to figure things out. It’s a powerful tool once everything is in place, but getting to that point takes more time and effort than I expected. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data helps solve the challenge of working with data stored across different platforms without constantly moving it around. It lets me query everything in one place, which saves time, reduces storage costs, and speeds up analytics and decision-making. ### 19. Precision and Ease with IBM watsonx.data **Rating:** 4.0/5.0 stars **Reviewed by:** Anupkumar Y. | Cloud Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** November 22, 2025 **What do you like best about IBM watsonx.data?** I find IBM watsonx.data particularly valuable for its reasoning and precision in handling responses, especially when developing AI agents like chatbots for improving user experience in a hotel management system. The initial setup was quite good, which made the integration process smooth and efficient. Although I'm still in the development phase, my early impressions are positive, and the system works well with MCP, the other tool I use. Overall, I'd confidently rate it an 8 out of 10 in terms of likelihood to recommend to a friend or colleague. **What do you dislike about IBM watsonx.data?** Nothing, I just tried **What problems is IBM watsonx.data solving and how is that benefiting you?** I use IBM watsonx.data to develop chatbots for hotel management systems, enhancing user experience with precise and well-reasoned responses. ### 20. Effortless Data Management and Seamless Integration in One Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** November 15, 2025 **What do you like best about IBM watsonx.data?** What I appreciate most is how smoothly it manages large amounts of data without slowing down. Being able to connect various data sources, explore them, and run queries seamlessly is a big plus. I also value how everything is organized in a single platform—there’s no need to switch between multiple tools just to accomplish a straightforward task. This not only saves me time but also spares my patience. That’s really what made it stand out for me. **What do you dislike about IBM watsonx.data?** The main drawback for me is the initial learning curve. If you’re not already familiar with IBM’s ecosystem, it can take some time to get a handle on how everything is organized—the setup, the integrations, and the governance layers all require some adjustment. Another issue is that certain features seem a bit too dispersed. At times, you have to navigate through several menus just to reach settings that should be easier to find. While this isn’t a deal-breaker, it does slow you down when you need to work quickly. Finally, although the platform generally performs well, I think the documentation could benefit from more real-world examples and guidance for edge cases. For enterprise-level tasks, those specifics are important. Overall, there’s nothing seriously negative, but these minor issues do create some friction for everyday users. **What problems is IBM watsonx.data solving and how is that benefiting you?** The main challenge this solves for me is managing scattered data. Rather than switching between multiple storage systems and tools, watsonx.data provides a single platform where I can handle everything querying, governance, access control, and analytics. This consolidation alone saves significant time and helps minimize errors. It also addresses performance concerns. Previously, running large queries across data from different sources was often slow or unreliable, but the engine here processes heavy workloads much more efficiently. Governance is another area where I’ve seen improvement. Keeping track of who has access to which datasets and maintaining compliance is typically a complex task, but watsonx.data simplifies this with centralized policy management. In summary, it reduces manual effort, keeps my data well-organized, and allows me to spend more time on analysis rather than constantly managing backend processes. ### 21. Effortless Data Handling and Seamless IBM Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Warehousing | Mid-Market (51-1000 emp.) **Reviewed Date:** November 14, 2025 **What do you like best about IBM watsonx.data?** i like the watsonx.data for handling data sources kinda easy. lakehouse stlye feels smooth and query performs pretty solid even data is large. also i love how it integrates with other IBM tools, so we do not have to do extra jugglin. UI part is not perfect but clean and feels friendly UI-UX for my daily work. it is easy to implement other IBM tools and work with it personally we didn't need to use Customer Support but I am sure it is best as per IBM profile. we are using for one project only in our organization, in addition we are making decision to use for other projects as well. **What do you dislike about IBM watsonx.data?** i personally dislike setting up and onboarding, it takes time to connects other data sources and configuring things properly and sometime docs feels confusing. pricing also bit higher for small teams like us, it is getting hard to make decision just because of pricing. **What problems is IBM watsonx.data solving and how is that benefiting you?** for us IBM watsons is solving major problem of handling too many different data sources in one place, earlier we had to manage all the data sources separately and now we are planning to move our other project in this platform also. it helps to reduce infra overhead cost because scaling storage and compute is smooth, because of this our analytics team can give faster responses and dev team can quickly implement solution for it. overall it saves time and saves some cost but it is bit costly also. ### 22. Reliable Data Platform ,Still Evolving Though **Rating:** 4.0/5.0 stars **Reviewed by:** Akash J. | Business and Integration Arch Senior Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** August 10, 2025 **What do you like best about IBM watsonx.data?** 1.Flexible data handling and fast searches. 2. Queries run quickly and handle diverse data well. 3. I like how fast it processes and manages big data. **What do you dislike about IBM watsonx.data?** 1. Learning takes time for a beginner. 2. Initial setup also takes time. **What problems is IBM watsonx.data solving and how is that benefiting you?** For me, IBM watsonx.data helps address two main challenges — ensuring data quality and making it easily accessible for AI and analytics. In Responsible AI work, having a trusted, well-governed dataset is critical to avoiding bias and ensuring compliance. The platform’s governance tools make it easier to maintain lineage, manage permissions, and apply consistent policies across multiple data sources. It also streamlines access to both structured and unstructured data, so instead of spending hours gathering and cleaning data, I can focus on building and testing AI models. Using it as a data warehouse has reduced the time it takes to prepare datasets for machine learning, which speeds up experimentation and shortens project cycles. Overall, it’s given me a more reliable foundation for developing AI systems that are transparent, scalable, and ethically sound. ### 23. Reliable **Rating:** 3.0/5.0 stars **Reviewed by:** Anandu R. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** August 10, 2025 **What do you like best about IBM watsonx.data?** What I really like about IBM watsonx.data is its ability to handle and analyze large amounts of structured and unstructured data from different sources all in one place. It’s flexible, integrates well with existing tools, and helps turn raw data into meaningful insights much faster. I also appreciate how it’s built for scalability, so it can grow with the business needs **What do you dislike about IBM watsonx.data?** One thing I’ve noticed is that, because IBM watsonx.data is such a powerful and feature-rich platform, there can be a learning curve for new users to fully leverage all its capabilities. Also, depending on the size of the datasets and complexity of queries, performance tuning might be needed to get the best results. But once you get familiar with it, the benefits outweigh the initial challenges **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data is solving the problem of having data scattered across multiple systems and formats. Instead of spending a lot of time moving and preparing data, I can query and analyze it directly from where it resides, whether it’s in a data lake, warehouse, or external source. This saves time, reduces duplication, and makes it easier to get real-time insights for decision-making. It’s also helping improve collaboration, since different teams can work off the same unified view of the data ### 24. IBM Watsonx Usage Experience **Rating:** 4.0/5.0 stars **Reviewed by:** DEEPAK REDDY K. | Senior Associate, Small-Business (50 or fewer emp.) **Reviewed Date:** August 09, 2025 **What do you like best about IBM watsonx.data?** I have Watsonx for IBM Call for code as it is a Pre-requisite of the Competiton to use the IBM Watsonx. IBM Watsonx has a wide range of AI Products which aligns well with the different usecases. It has it's own Foundation Models Like Granite which we used in our IBM Cal for code Project it's integration with the multiple other models is also easy liek for example Hugging Face Repo and DB Connections as well code Deployment in IBM Cloud. One good thing was the have documentation and walkthrough docs/videos for each and every AI model/functionalty Implementation. These docs/videos helped reduce some time in getting started as they are to the point. Talking about the customer support it is very quick i got problem with my account and got resolved in within a day or so. I have used these IBM Watsonx Three times and alway feel the Functionality and the power of AI integerated tools is amazaing. **What do you dislike about IBM watsonx.data?** The things that i felt could have been more better is the limited Third party Resources and integrations though it has few popular tools and integration for some use cases the watsonx does not support them. The Pricing is more compared to other open resources example if i need Large Model Training or multi model usage in watsonx AI the cost increases there is no proper tanspaernecy in Cost upfront as comaprted to AWS. If i want to use the Watsonx AI with non IBM Tools custom connectors which by user needs to be build up is required which is time taking and some times the implementation goes waste. **What problems is IBM watsonx.data solving and how is that benefiting you?** The AI Models it has huge computatuion and capable of Handeling Large amounts of data sets, example : Granite Models. These Granite Models already pretrianed with large amounts of data and for use case we have used LLM for passing our use case data as context for the Training Models to generate the results for us. The Results are 75-80% accurate. Teh IBM Granite Models have language support where it support large number of Languages across the world. Since it is integrated with the IBM Cloud everything becomes easy from development to Deployment But, if we want get the Third part tools which not supported by IBM is a bit complex to get it working. Rest it is dtraight forward approach if we are using everything like tools, models and apps from the IBM Cloud. ### 25. Makes working with data much easier **Rating:** 4.0/5.0 stars **Reviewed by:** amar c. | Associate Information Security Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** August 09, 2025 **What do you like best about IBM watsonx.data?** I like how easy it is to manage and search large datasets using the platform. The AI-assisted data preparation tools help me clean and organize data much faster than doing it manually. The interface is user-friendly, and the integration with other IBM products makes it easy to fit into our existing workflow. It also handles large amounts of data without slowing down, which is a big plus for my team. **What do you dislike about IBM watsonx.data?** Some of the more advanced analytics features have a steep learning curve and require extra training to use effectively. Also, the cost might be on the higher side for smaller companies. Lastly, it needs a stable internet connection for most operations, so offline work is limited. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data helps us centralize and manage large volumes of data from multiple sources in one platform. It reduces the time needed for data preparation, cleaning, and organization, allowing our team to focus on analysis and decision-making instead of manual processing. The platform’s AI-driven tools improve the accuracy of our datasets, which leads to more reliable insights for our business. Overall, it has increased productivity and made our data operations much smoother. ### 26. Data as a service, i think this is something fresh and new **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** August 09, 2025 **What do you like best about IBM watsonx.data?** The reason i explored IBM watsonx is, in my current org, we were also building a similiar kind of product, not at this scale but many of the funcitonalitier are common, the feature i liked specially is their prompt lab and how well it is easy to implement, and that actually provides a very good simulation for building different kinds of usecases a person may have. in terms of integration, the data source integration feels seemless a wide variety mainstream connectors are present and easy to integrate, didnt ineracted with the customer support as i didnt have to use it much **What do you dislike about IBM watsonx.data?** This not a beginner friendly tool, a person should be well aware of the current AI-scenario, technical terms and how LLMS works upto some level, the UI is clean and minimal but many time i found a bit of difficulty in navigation between different screens, and sometimes i felt everything is given to me, and that made me confused what should i pick, the point is since there is big chunk of business and non-tech professionals are also adopting the use of LLMs into their workflows, and they could be a user of this platfrom, then the platform should hide some of the configuration and handle it via some assumptions, although this is just an opinion i am not very sure of the target audiene of watsonx. for my use i dont see much of use within my team, and current org, there are already many tools which are free and opensource for instance openmetadata, people who want production ready and readiness to scale within their org as they have that much data to take leverage, and exclusive proprietary platform, which is catered for them then this could be a good choice. **What problems is IBM watsonx.data solving and how is that benefiting you?** the first is its proprietary nature with ease of integration with my data, that will help organization to quickly bootstrap their products, next is the fine tuning and its simulation with prompt labs, this will actually gives the user an idea how his model will behave without wasting much of his resources on billing and computing, ### 27. Helped Us Cut Down Client Onboarding Time at Citi **Rating:** 4.0/5.0 stars **Reviewed by:** Bali R. | Assistant Vice President, Enterprise (> 1000 emp.) **Reviewed Date:** August 08, 2025 **What do you like best about IBM watsonx.data?** I work as an Assistant Vice President in Citi’s client onboarding team, where we handle large volumes of client data from multiple sources — regulatory checks, KYC documents, transaction history, and internal risk systems. Before using watsonx.data, this information was spread across different tools, which made it slow and sometimes frustrating to pull together for verification. We needed a single platform to bring everything into one place so we could move faster while meeting strict compliance requirements. Watsonx.data has given us a dependable central platform for storing and querying client data. Queries that previously took minutes now return results much faster, even with complex joins and large datasets. I also value its tight integration with IBM’s governance and security features, which means compliance checks happen in the background without extra manual work. Sharing consistent, up-to-date data across teams has also become much easier. **What do you dislike about IBM watsonx.data?** The initial setup was the most challenging part. Mapping our existing sources into watsonx.data wasn’t straightforward, and a few integrations needed help from IBM’s support team. The interface works fine but could be more intuitive, especially for new users who don’t have prior experience with enterprise data platforms. **What problems is IBM watsonx.data solving and how is that benefiting you?** In Citi’s client onboarding team, where I work as an Assistant Vice President, we deal with huge amounts of data from different sources — regulatory checks, KYC documents, transaction history, and internal risk systems. Before IBM watsonx.data, this information was scattered across multiple tools, which meant a lot of manual effort to bring it together and verify. Watsonx.data has solved this by giving us a single, governed platform where all of this data can be stored, queried, and shared securely. Now we can run complex queries across large datasets in minutes, and compliance checks are much smoother because the governance features are built in. This has directly helped us cut our client onboarding time from nearly two days to less than a day, which not only improves efficiency for our team but also gives new clients a faster, better experience. ### 28. 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. ### 29. 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! ### 30. 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 ### 31. 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 ### 32. 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. ### 33. 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. ### 34. 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! ### 35. 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. ### 36. 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 ### 37. 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 ### 38. 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 ### 39. 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. ### 40. 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 ### 41. 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. ### 42. 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 ### 43. 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 ### 44. 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. ### 45. 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. ### 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. 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. ### 48. 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. ### 49. Great Data Platform, just a couple issues **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 05, 2024 **What do you like best about IBM watsonx.data?** IBM Watsonx.data has been super helpful for handling all of our data. One of the things I appreciate most is how easily it connects with different cloud platforms. We deal with a lot of data, and the platform has made it much easier to manage and analyze everything without slowing down. The AI features are a big plus—they save us time by automating a lot of the heavy lifting when it comes to data analytics. **What do you dislike about IBM watsonx.data?** It’s definitely not the easiest platform to get the hang of. If you’re new to IBM’s tools, it can take a while to really figure things out. Setting it up and getting it customized for what we need took longer than expected, and the documentation could be a bit clearer, especially when you're trying to solve specific problems. **What problems is IBM watsonx.data solving and how is that benefiting you?** We use Watsonx.data to make our data processing and analysis more efficient. It’s cut down the time we spend preparing and cleaning data, which lets us focus on actually getting insights from it. The AI features have really helped with predictive analytics, so we’re able to make smarter decisions based on real-time data. Overall, it’s improved our workflow a lot, but we’re still working through some of the more complicated setup. ### 50. Good things about watsonx **Rating:** 4.5/5.0 stars **Reviewed by:** Praveen M. | Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** September 27, 2024 **What do you like best about IBM watsonx.data?** IBM watsonx.data is very powerful and easy to use. A single metadata layer, working on cloud and on-premises setups, makes this the view to see all data from one place. What I found most interesting was the way in which complex analytics were shown with the data. It was just brilliant in the way it managed regular and unstructured data, making me far more productive. IBM watsonx.data has really been my go-to tool for all of my data work. **What do you dislike about IBM watsonx.data?** High maintenance cost and limited resources **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data gathers, stores, analyzes business data and provides a single platform solution. - [View IBM watsonx.data pricing details and edition comparison](https://www.g2.com/products/ibm-watsonx-data/reviews?filters%5Bsentiment_snippet%5D=1444586&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+16%3A45%3A22+-0500&secure%5Bsession_id%5D=95f81b93-7e8f-4631-a2a5-4975666bae66&secure%5Btoken%5D=9ac04b3546384a092ff7d86592d75c21161ad93c1fce504efee441388ad9fa24&format=llm_user) ## IBM watsonx.data Integrations - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews) - [Apache Spark for Azure HDInsight](https://www.g2.com/products/apache-spark-for-azure-hdinsight/reviews) - [Apache SystemML](https://www.g2.com/products/apache-systemml/reviews) - 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Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management ## Top IBM watsonx.data Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,337 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews)