--- title: IBM watsonx.data Reviews meta_title: 'IBM watsonx.data Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 167 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: 167 scale: '5' date_modified: '2026-07-27' 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:** 167 ## 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 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. ### 2. 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. ### 3. 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 ### 4. 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. ### 5. 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. ### 6. Seamless communication between your app & cassandra **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** December 19, 2024 **What do you like best about IBM watsonx.data?** Simplified database operations with builtin support for query execution. DataStax's QueryBuilder API can handle diverse types of queries **What do you dislike about IBM watsonx.data?** Learning curve can be steep because of their long list of Query APIs. **What problems is IBM watsonx.data solving and how is that benefiting you?** Datastax help overcome the complexity of handling distributed database systems like cassandra. The drivers can efficiently interact with cassandra without compromising on latency and HA ### 7. My overall experience using IBM watsonx.data. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2024 **What do you like best about IBM watsonx.data?** I've found the IBM Watsonx.data tool to be redefining how management and analysis of enormous datasets can be conducted. Its user friendly interface makes possible the preparation of data, considering a large number of sources and the AI features of this software are very good at getting insights fast. I also like the solid enterprise class security and scalability features. The real time analytics feature has dramatically improved my decision making process. The initial setup was rather complex and there's also a bit of a learning curve. In a word, it must be a powerhouse for whoever wants to use AI in data management and analytics. **What do you dislike about IBM watsonx.data?** I personally don't dislike anything about IBM watsonx.data but many people around me have complained about their pricing structure as it is very hard to determine what your total bill will be at the end of the month. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM watsonx.data is a very user friendly tool that helps us analyse large amounts of data rather quickly and extract useful insights from them. ### 8. Datastax : Apache Cassandra advanced in Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** June 06, 2024 **What do you like best about IBM watsonx.data?** The multiple ways of connection - REST API based operations for create, insert, delete or update , option to use cql and driver based connections, easy to query and great performance are the best feasture of Datastax. The ease of setp and usage with various languages like java, python and node make it an easy to use database for newer languages **What do you dislike about IBM watsonx.data?** Datastax being based out of cassandra has queries based on model objects and so not all columns can be used for where clause which makes it to think the design in advance. The key columns and query columns need to be identified. Blob data saving example is not present. **What problems is IBM watsonx.data solving and how is that benefiting you?** It helps to solve mapping of data to database using rest api and data can be exposed to thrid party using rest api and various role / user permissions. White listing of IPs are present and managing of database is very easy. The data can be store based on key and the value object which can be complex. Continuous storage of data and easy rollups help in its usage as monitoring database. ### 9. Go-to database for production grade LLM apps **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep P. | Director of Engineering - Head of Data&AI, Enterprise (> 1000 emp.) **Reviewed Date:** July 22, 2024 **What do you like best about IBM watsonx.data?** Support and robustness. Astra DB is rock-solid. We experienced a 50x traffic increase on our conversational chatbot "AI Guru" with zero downtime during a live demo with 1 million students. This is a testament to the scale at which AstraDB can deliver in production usecases. **What do you dislike about IBM watsonx.data?** Data ingestion and retrieval for analytics can be improved. I am hoping it will be a solved problem in the coming months. **What problems is IBM watsonx.data solving and how is that benefiting you?** We are using AstraDB as our vector database for our GenAI apps. That includes real-time doubt solving, Counselling and mentoring, subjective paper evaluation. ### 10. Best insights on data **Rating:** 5.0/5.0 stars **Reviewed by:** Sahithi M. | Data engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** Effortlessly allows us to connect over different sources of data. Easily accessed and efficient. The most fascinating thing is compliance. It's quick insights and strategies are highly appreciated for anyone looking to utilize data effectively **What do you dislike about IBM watsonx.data?** I think it lacks personalization and it's costly for startups to initially test and then to invest. If someone is new to this, then they might feel difficulty in setting up setup **What problems is IBM watsonx.data solving and how is that benefiting you?** Enhanced decision making and easily we can consolidate data. Quick analysis and can be accessed easily from anywhere. It solves compliance and regulatory challenges ### 11. Journey with IBM **Rating:** 4.0/5.0 stars **Reviewed by:** Vidya K. | NA, Enterprise (> 1000 emp.) **Reviewed Date:** September 27, 2024 **What do you like best about IBM watsonx.data?** Ease of use and intuitive interface ,Powerful analytics capabilities.Seamless integration with other IBM tools. **What do you dislike about IBM watsonx.data?** Steep learning curve High cost for enterprise plans Integration issues with non-IBM tools Data quality and preparation challenges Limited customization options **What problems is IBM watsonx.data solving and how is that benefiting you?** Enhanced Decision-Making: Data-driven insights for informed decisions.. Improved Operational Efficiency: Streamlined data management.. Increased Revenue: Identified business opportunities and optimized processes. Better Customer Experience: Personalized services through data analysis. 5l Competitive Advantage: Actionable insights for strategic planning. Reduced Costs: Optimized resource allocation and minimized errors. Faster Time-to-Market: Accelerated data analysis and innovation. ### 12. Best Vector DB experience we had so far **Rating:** 4.5/5.0 stars **Reviewed by:** Mert D. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** October 09, 2024 **What do you like best about IBM watsonx.data?** Fast, easy, responsive team that will help out with issues **What do you dislike about IBM watsonx.data?** abstractions can be made better but it would take away flexibility so I understand the current design choices **What problems is IBM watsonx.data solving and how is that benefiting you?** Solves RAG pipelines and storage for vectorising data ### 13. Best Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Sai B. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** It helps to streamline enterprise data which is structured and unstructed. It also helps in various Data Sources and it is flexible and can be used for large scale data. **What do you dislike about IBM watsonx.data?** It helps in large data support so cost might be concern for organizations having large data to use. **What problems is IBM watsonx.data solving and how is that benefiting you?** It supports various data to organized under single datalake which further helps us in easier access control and also to analyse the data. ### 14. IBM Watsonx.data review **Rating:** 4.5/5.0 stars **Reviewed by:** Akhil N. | Jr. Information Security Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** September 20, 2024 **What do you like best about IBM watsonx.data?** Watsonx.data is impressive for its scalability, allowing businesses to handle vast amounts of structured and unstructured data across hybrid cloud environments. It also integrates advanced AI and machine learning capabilities for real-time analytics and decision-making. It also supports dedicated and comprehensive support teams for customer **What do you dislike about IBM watsonx.data?** It is little expensive for small scale business or companies handling with less resources **What problems is IBM watsonx.data solving and how is that benefiting you?** It is helpful for solving and analysing large complex data by offering automatated data workflows. ### 15. It was my best experience to explore data lakehouse as I am a data engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Yokesh B. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** It helps to streamline enterprise data which is both structured and unstructured. Watsonx.data enables organization's to query vast amounts of data in very quick time. **What do you dislike about IBM watsonx.data?** I think cost might be a concern here for organizations which hold large amounts of data **What problems is IBM watsonx.data solving and how is that benefiting you?** It helps us is to organize various data under one datalake which helps to access easier and analyse. ### 16. Best Vector DB in the market **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 14, 2025 **What do you like best about IBM watsonx.data?** Advanced vector search capabilities, real-time processing, and fully managed database services. **What do you dislike about IBM watsonx.data?** Overall the experience was good while leveraging Datastax Astra DB. **What problems is IBM watsonx.data solving and how is that benefiting you?** Managing vast volumes of unstructured data across domains required a database solution capable of handling high-throughput, low-latency queries while ensuring data relevance and accuracy. ### 17. Powerful Data Analytics Tool leveraging AI & creating Open Data standards **Rating:** 4.5/5.0 stars **Reviewed by:** Aastha M. | Engineer - Platform Team (Developer Experience), Small-Business (50 or fewer emp.) **Reviewed Date:** April 12, 2024 **What do you like best about IBM watsonx.data?** I esp like the flexibility offered by IBM Watsonx's open architecture, and also the potential to leverage the advancements by having data in a unified format & also facilitate further strong community connection due to it. Alao, I foresee, there would be lesser efforts involved down the line in migration or interchangeability, if needed. **What do you dislike about IBM watsonx.data?** I found it a bit difficult to find certain docs and resources to implement the usecases that I wanted to try. This could possibly be resolved with time as d when more users adopt & form a well knit community around the same. **What problems is IBM watsonx.data solving and how is that benefiting you?** The unification of data, be it from disparate sources or different formats makes it easy to avoid data silos & leverage the integrated power of data. Along with it, Watsonx's focus on data governance makes it a reliable choice for businesses with critical security needs. ### 18. Easy to use data integration for other watsonx systems **Rating:** 4.5/5.0 stars **Reviewed by:** Marek M. | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2024 **What do you like best about IBM watsonx.data?** ease of use, predefined templates, easy to integrate with other services within watsonx ecosystem, easy to implement in scattered organization **What do you dislike about IBM watsonx.data?** did not found any issues, or things that I dislike **What problems is IBM watsonx.data solving and how is that benefiting you?** Integrate different data sources into one, easy accesible place (allowing to break the siloses) ### 19. Discovery and use of watsonx.data **Rating:** 5.0/5.0 stars **Reviewed by:** Thyago N. | Technology Consultant I, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2024 **What do you like best about IBM watsonx.data?** Watsonx.data is an incredible tool that enables not only data storage but also its management and integration for more accurate and complete results in an easier way. It is very user-friendly, easy to use, and the support and training team is always available and dedicated. We are in constant use of the tool to learn and make the most of its potential through the various integration possibilities. **What do you dislike about IBM watsonx.data?** Up to the present moment, we are starting the implementation of the tool and have not encountered any difficulties or aspects we dislike. **What problems is IBM watsonx.data solving and how is that benefiting you?** Centralization of data storage and integrations between databases for more complete and efficient information cross-referencing and results. ### 20. A game changer in data analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Small-Business (50 or fewer emp.) **Reviewed Date:** September 19, 2024 **What do you like best about IBM watsonx.data?** It is so impressive because it offers flexible and scalable way to handle large amount of data.It has very user friendly interface which makes it more easier to work with data.It is easily understandle to tech and non tech persons which increase the productivity. **What do you dislike about IBM watsonx.data?** I feel pricing could be concern for any organizations with small teams and low budgets. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM Watsonx.data helps me in efficiently managing and analyzing large datasets from multiple sources. It provides a platform for data access, enabling quicker insights and reducing the complexity of data processing. ### 21. Thrilled with the rapid development and focus on user feedback at DataStax Astra DB! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2024 **What do you like best about IBM watsonx.data?** I'm constantly impressed by their dedication to swiftly integrating new features based on user feedback. A big shoutout to Preethi Srinivasan and the entire team for their responsiveness and commitment to making Astra DB the best possible solution for developers. The recent integration with unstructured.io is a game-changer, and I'm already seeing the benefits in my workflow. Looking ahead, I'm particularly excited about the upcoming server-side embeddings ingestion feature. This will further streamline my development process and unlock new possibilities for my projects. Astra DB's intuitive interface makes it a breeze to navigate and manage my data, even for those with less technical expertise. Getting started with Astra DB was incredibly straightforward. The quick setup process allowed me to focus on development instead of wrestling with complex infrastructure. The DataStax Astra DB customer support team is exceptional. They are consistently responsive, knowledgeable, and go the extra mile to resolve any issues promptly. DataStax Astra DB truly prioritizes its user community, and it shows. Keep up the fantastic work! **What do you dislike about IBM watsonx.data?** Nothing. Looking forward for upcoming Features **What problems is IBM watsonx.data solving and how is that benefiting you?** Ease of Integration as well as integrations, like server side embeddings. Also the cost was effective. ### 22. I'm really liked the datastax.ai **Rating:** 5.0/5.0 stars **Reviewed by:** Teja P. | village volunteer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 12, 2024 **What do you like best about IBM watsonx.data?** Database company offers a suite of products datastax enterprises DSE and thay have expended AI / ML datastax.ai **What do you dislike about IBM watsonx.data?** Even with astra managing distributed cassendra cluster cen required a lot of operational resources. **What problems is IBM watsonx.data solving and how is that benefiting you?** Datastax excels is real time data management making at highly suitable for AI/ML it is supports hybrid and multi cloud environments allowing businesses ### 23. I can just drag and drop the workflow for my Datastax Langflow AI application **Rating:** 5.0/5.0 stars **Reviewed by:** Satwik L. | Freelancer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2024 **What do you like best about IBM watsonx.data?** I like the wide range of Open-source options available included by datastax. **What do you dislike about IBM watsonx.data?** I need more videos tutorials and templates for this datastax's Open-source platforms provided. **What problems is IBM watsonx.data solving and how is that benefiting you?** I am using RAG for my e-commerce website to streamline my response for the customers with predefined dataset and the best thing it can train on its own. ### 24. wx.data usage **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2024 **What do you like best about IBM watsonx.data?** Getting started with watsonx.data is pretty straightforward, making it accessible even for those new to data analysis. The platform offers an intuitive interface to setup processes with ease. wx.data's integration with other IBM services further simplifies the implementation of simple solutions, allowing users to leverage machine learning models and analytics tools. This streamlined approach enables users to focus on deriving insights and value from their data rather than getting bogged down in the complexities of data infrastructure setup. **What do you dislike about IBM watsonx.data?** When we are talking about advanced and in-depth analytics, the platform still lacks easier and faster integrations in order to be used as a service in a Python notebook, the libraries are very complex and take too much time to handle simple requests. **What problems is IBM watsonx.data solving and how is that benefiting you?** We are currently using wx.data as a lab for future clients. ### 25. Overall Complexity **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Food & Beverages | Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2024 **What do you like best about IBM watsonx.data?** Getting the correct response is essential in currect AI related market and watson gets the job done. Though you have to be precise regarding your prompts and explain the situation and then provide the prompt. **What do you dislike about IBM watsonx.data?** Sometimes after providing the precise prompts the answers are quite repitative. **What problems is IBM watsonx.data solving and how is that benefiting you?** First and the formost it boosts the productivity. It is 10 fold to ask the watson rather then rabbit hole on google or stackoverflow. Also, the data processing is first and accurate and eventualy you will get the clean datasets or data. ### 26. Enterprise data **Rating:** 3.5/5.0 stars **Reviewed by:** Lukasz M. | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2024 **What do you like best about IBM watsonx.data?** Predefined busienss ready datasets ready to use with AI models. **What do you dislike about IBM watsonx.data?** Would look for more possibilities to adjust predefined datamodels. **What problems is IBM watsonx.data solving and how is that benefiting you?** It is helping me to easily build datasets for AI PoCs ### 27. Feedback review **Rating:** 5.0/5.0 stars **Reviewed by:** TEJASWINI P. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** It is good and accurate artificial intelligence platform. **What do you dislike about IBM watsonx.data?** Seen as disruptive technology. Maintenance. Doesn't process structured data directly. **What problems is IBM watsonx.data solving and how is that benefiting you?** IBM Watsonx.data simplifies data integration, scales storage, ensures governance, and accelerates AI-driven insights, benefiting organizations with faster analysis and cost efficiency. ### 28. Astradb for VectorStore **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** July 22, 2024 **What do you like best about IBM watsonx.data?** The astradb for vectorstore and its integration to langchain for ease of orchestration of RAG workflows. Datstax team is phenomenally talented and supportive to customers. They are open to consider the feedback for enhancing the latest technologies and integrations. **What do you dislike about IBM watsonx.data?** I like everything about datastax but would like for a more evolved UI interface. **What problems is IBM watsonx.data solving and how is that benefiting you?** Datstax is solving us the LLM token limitations and cost effectiveness with RAG-Vector solution. ### 29. An amid user of IBM watsonx.data **Rating:** 5.0/5.0 stars **Reviewed by:** Niharika N. | Senior Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** Worked on optimization and achieved good results **What do you dislike about IBM watsonx.data?** I liked everything about it and there is nothing that i disliked **What problems is IBM watsonx.data solving and how is that benefiting you?** Clearly resolved and optimized various data related problems ### 30. Optimization review **Rating:** 4.5/5.0 stars **Reviewed by:** Srikanth E. | Senior Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** September 23, 2024 **What do you like best about IBM watsonx.data?** It is giving accurate optimization as per expectations. I would recommend to use it **What do you dislike about IBM watsonx.data?** Not able to upload huge files and ppt recommendations **What problems is IBM watsonx.data solving and how is that benefiting you?** Code optimization ### 31. Exploring the pros and Cons of IBM watson : A complete overview **Rating:** 4.0/5.0 stars **Reviewed by:** Kshitij A. | Associate Managing Consultant - Data Science , Financial Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 17, 2024 **What do you like best about IBM watsonx.data?** IBM watson's advaneced anaytics tools are really good which allow us to unravelintricate patterns and take impriotant decisions for business. Anaother good thing about this is its seamless data integration. This also provides collaborative environment which help in increasing efficiency in team. Overall its a very rich tool. **What do you dislike about IBM watsonx.data?** Initially I found this really difficult to learn and this is something which can be worked upon like its not thatb easy to learn. There were some cases and situations when we faced a lot of difficulty integration couple of data sources. And last but not the least is that this can be used for some specific situations but can not fit directly into complex business problems. **What problems is IBM watsonx.data solving and how is that benefiting you?** Its NLP services are too good and we used this in lot of projects but this was really helpful in our project of customer calls data for loaylty team. ### 32. Company Chatbot in 30 days **Rating:** 5.0/5.0 stars **Reviewed by:** Jan S. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 26, 2024 **What do you like best about IBM watsonx.data?** Customer support has been great from day one. DataStax wants you to succeed with your project. **What do you dislike about IBM watsonx.data?** Moving and copying databases between accounts and regions is difficult. **What problems is IBM watsonx.data solving and how is that benefiting you?** DataStax makes life easy for engineers who need a scalabe vector database for their RAG projects. It outperformed other databases in our tests. ### 33. The watsonX having all AI features that an usual user expect to have **Rating:** 5.0/5.0 stars **Reviewed by:** SRI HARSHA VARDHAN REDDY Y. | Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 05, 2024 **What do you like best about IBM watsonx.data?** I believe that hybrid cloud deployment is a valuable feature. **What do you dislike about IBM watsonx.data?** The data interface appears complex, which may be difficult for new users to understand. **What problems is IBM watsonx.data solving and how is that benefiting you?** Generally accessing an organization's data every time is very hard one may forget the keywords, This problem is resolved by Watsonx AI which is the best practice to ask it and get our needed data ### 34. The experience is great **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 27, 2024 **What do you like best about IBM watsonx.data?** Its reliable and easy to use.Its the best I have used **What do you dislike about IBM watsonx.data?** It can be user friendly. For non-technical background persons , you can make it more usable. **What problems is IBM watsonx.data solving and how is that benefiting you?** It is used for solving Big data processing problems and is very useful ### 35. IBM Watson : A simplified AI solution **Rating:** 5.0/5.0 stars **Reviewed by:** Sathwick K. | Senior Specialist Data and ML/AI Platform, Enterprise (> 1000 emp.) **Reviewed Date:** January 16, 2024 **What do you like best about IBM watsonx.data?** IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations. Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to use. This product is build with lot's for expertise from IBM which started from 2007. It offers powerful capabities which suits modern data needs and it offers wide support for API & SDK which make interactions easy. **What do you dislike about IBM watsonx.data?** There are quite some customisation and integration challenges which is not so easy. Also, it needs continuous trainings for the the staff to utilise the platform potentially. **What problems is IBM watsonx.data solving and how is that benefiting you?** NLP for building end users service automation services, Watson can be delegated assistant in medical and other industries. ### 36. Devops engineer **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** September 07, 2024 **What do you like best about IBM watsonx.data?** Cost efficiency great in the market, excelent scalability and optimized for AI data **What do you dislike about IBM watsonx.data?** Complexity of the whole system and the learning curve is too much a burden compared with other ones **What problems is IBM watsonx.data solving and how is that benefiting you?** Ai model training woks great with a relatively low cost ### 37. Wonderful co-assistant **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** September 12, 2024 **What do you like best about IBM watsonx.data?** I like the natural dialogue and interactions **What do you dislike about IBM watsonx.data?** I think the system still may require some other intermediate step processing that could help with argumentative mining **What problems is IBM watsonx.data solving and how is that benefiting you?** I am using it to help with better customer feedback and automated services ### 38. AI integration in my data warehouse! **Rating:** 4.5/5.0 stars **Reviewed by:** Shrideep T. | Technical Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** March 25, 2024 **What do you like best about IBM watsonx.data?** Using natural language to get insights into my data saves me a lot of time on unseen data. **What do you dislike about IBM watsonx.data?** Instead of accessing vector databases from my IBM warehouse for my RAG application, I would rather prefer using Python/js libraries to vectorize my data in the developing process (especially for a lightweight application) thus eliminating a couple of extra steps and saves time. **What problems is IBM watsonx.data solving and how is that benefiting you?** Cost cutting is the most over-looked feature for my company and integration with AWS pipelines is cherry on top. ### 39. Evaluation of watsonX.data **Rating:** 5.0/5.0 stars **Reviewed by:** André L. | Consultor, Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2024 **What do you like best about IBM watsonx.data?** I found the tool extremely relevant, the use of artificial intelligence to work with data. **What do you dislike about IBM watsonx.data?** I have not yet had the opportunity to work with the tool to identify points that I don't like. **What problems is IBM watsonx.data solving and how is that benefiting you?** I do not yet work with the tool to respond to this inquiry. ### 40. A Bit Underwhelmed **Rating:** 3.0/5.0 stars **Reviewed by:** Mike G. | Sr Fin Tech Automation Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2024 **What do you like best about IBM watsonx.data?** I found the data was high quality and accurate. **What do you dislike about IBM watsonx.data?** I had continue issues with my credentials timing out and my automation stalling. **What problems is IBM watsonx.data solving and how is that benefiting you?** Text to speech ### 41. Goto database for VectorDB **Rating:** 5.0/5.0 stars **Reviewed by:** Abhilash S. | Principal Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 29, 2024 **What do you like best about IBM watsonx.data?** Colloborative Support Access to bleeding edge features Enterprise Grade stability and reliability **What do you dislike about IBM watsonx.data?** Nothing in particular to dislike or concerned **What problems is IBM watsonx.data solving and how is that benefiting you?** Solving vertical industry generative AI use-cases backed by Astra Vector Databases provides a strong enterprise grade infrastructure with bleeding edge features, which helps us release SOTA solutions. ### 42. Quality enterprise class NOSQL provider with excellent professional services **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2024 **What do you like best about IBM watsonx.data?** Implementation is as easy as signing up on a website Easy to get going, abstracts complexity of Cassandra Scalability & On-demand performance reduces overall cost Provides additional capabilities which greatly enhance integration with other systems Excellent customer support **What do you dislike about IBM watsonx.data?** Nothing much - CQL for Cassandra is perhaps a disadvantage **What problems is IBM watsonx.data solving and how is that benefiting you?** Cassandra is challenging to manage at a large scale in production. DataStax enables enterprise class capabilities at the click of a button. It minimises compliance risk arising from hacky custom scripting, and allows your teams to focus on developing more where it matters. ### 43. Vector Database Implementation **Rating:** 5.0/5.0 stars **Reviewed by:** Adrian C. | Managing Director - Global Wealth Management & Latam Retail Head, Small-Business (50 or fewer emp.) **Reviewed Date:** May 29, 2024 **What do you like best about IBM watsonx.data?** Ease of implementation and Customer Support **What do you dislike about IBM watsonx.data?** For clarity, provide a precise definition and the intended use of credits in the contract. **What problems is IBM watsonx.data solving and how is that benefiting you?** Implementing AI with a Vector Database ### 44. AI powered Analytics. **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek M. | SDE 1, Enterprise (> 1000 emp.) **Reviewed Date:** February 15, 2024 **What do you like best about IBM watsonx.data?** The generative AI enabled conversational features helps to get the complex insights very simply, and its easy to integrate with databases. **What do you dislike about IBM watsonx.data?** Costing is bit on the higher side which can be reduced or can be provided more trails so that user can atleast get comfortable with the tool in the trail period only. **What problems is IBM watsonx.data solving and how is that benefiting you?** It helped in Data warehouseing while a very big chunk of file which we generated organisational wide that gets stored and manage very efficiency . ### 45. We've gone to zero to production in 3 months. Top notch support from different departments. **Rating:** 5.0/5.0 stars **Reviewed by:** Reinaldo G. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 17, 2024 **What do you like best about IBM watsonx.data?** Support Vector similarity search Different API availability and support **What do you dislike about IBM watsonx.data?** Documentation is a little lacking but made up up by direct support. **What problems is IBM watsonx.data solving and how is that benefiting you?** Integration with AI applications ### 46. Review **Rating:** 4.0/5.0 stars **Reviewed by:** Kenchugonde A. | Stibo Solution Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 29, 2024 **What do you like best about IBM watsonx.data?** Help us effortlessly reach and examine our widespread data, making the most of our resources to provide better user experiences. IBM Watson and AWS are improving cloud-based analytics and AI, allowing organizations to speed up their strategies for updating their data systems. **What do you dislike about IBM watsonx.data?** Too expensive when compare to other data tools in the market **What problems is IBM watsonx.data solving and how is that benefiting you?** Easy data access for analysis. User experience by enhancing cloud based analytics and AI capabilities.(unified view of data) Resource utilization. Data Modernization which can lead to more agile and effective data mgmnt practices. ### 47. Analytics bot **Rating:** 5.0/5.0 stars **Reviewed by:** THEJAS K. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 13, 2024 **What do you like best about IBM watsonx.data?** The speed that it takes to fetch the result is too fast **What do you dislike about IBM watsonx.data?** Cost is too high to use this product and not cost effective **What problems is IBM watsonx.data solving and how is that benefiting you?** Our data magnitude is very high, where as watson is helping us retrive analytics very soon ### 48. It served its purpose **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2024 **What do you like best about IBM watsonx.data?** It greatly accelerated the process of data analysis, in addition to the tool being very flexible. **What do you dislike about IBM watsonx.data?** There could be more instructions for those who are starting with the tool, which ended up wasting a lot of the team's time. **What problems is IBM watsonx.data solving and how is that benefiting you?** I use the tool to analyze behaviors and provide personalized recommendations. ### 49. Data Lake house **Rating:** 5.0/5.0 stars **Reviewed by:** Marcos J. | Architect, Enterprise (> 1000 emp.) **Reviewed Date:** November 21, 2023 **What do you like best about IBM watsonx.data?** Great solution if you want to access all company data in one place (hub) Ability to access structured, semi-structured and unstructured data **What do you dislike about IBM watsonx.data?** At the moment I can't say anything negative. So far it is meeting my expectations. Maybe IBM should make more efforts to access more clients. **What problems is IBM watsonx.data solving and how is that benefiting you?** The main problem that the tool solves is being able to access data easily (both data from a data warehouse and file type data). On the other hand, it has several execution engines (spark and presto), they promise more engines in the future ### 50. Astra DB simplifies your life by supporting a wide range of data formats **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** March 05, 2024 **What do you like best about IBM watsonx.data?** It is really easy to use and supports a wide range of data formats, including vectorized, columnar-based, and more. Additionally, DataStax is very robust, and its support team is extremely responsive. **What do you dislike about IBM watsonx.data?** Although it is user-friendly, mastering and optimizing all the features offered by the database can present a steep learning curve initially. **What problems is IBM watsonx.data solving and how is that benefiting you?** Indexing SharePoint documents to build a generative AI chatbot that can search and generate content based on the knowledge base stored in SharePoint. - [View IBM watsonx.data pricing details and edition comparison](https://www.g2.com/products/ibm-watsonx-data/reviews?page=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-28+05%3A17%3A44+-0500&secure%5Bsession_id%5D=4dda5720-471c-45f7-8b43-884207ecf50c&secure%5Btoken%5D=0de93c957d8bfabd60c432964df70f6c06e43748a6706cf9a1b29678f598bf18&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) - 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[IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [Microsoft Azure Cosmos DB](https://www.g2.com/products/microsoft-azure-cosmos-db/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Presto](https://www.g2.com/products/presto/reviews) - [Spark](https://www.g2.com/products/apache-spark/reviews) - [Spark SQL](https://www.g2.com/products/spark-sql/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [The Jupyter Notebook](https://www.g2.com/products/the-jupyter-notebook/reviews) ## IBM watsonx.data Features **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Reporting - Auditing **System** - Data Ingestion & Wrangling **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Data Management** - Data Migration - Managing Data - Secured Data Storage **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Model Development** - Feature Engineering **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Security** - Access Control - Roles Management - Compliance Management **Data as a Service** - Self-Service Isights - DaaS Quality **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Integrations** - Hadoop Integration - Spark Integration **Data Quality** - Data Preparation - Data Distribution - Data Unification **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Deployment** - On-Premise - Cloud **Maintainence** - Data Quality Management - Policy Management **Architecture** - Data Fabric Creation - DaaS Architecture **Deployment** - Managed Service - Application - Scalability **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Performance ** - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top IBM watsonx.data Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (711 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,325 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,144 reviews)