IBM watsonx.data as a Service
IBM SoftwareExternal reviews
96 reviews
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Fast and Intuitive, Yet Needs Streamlined UI
What do you like best about the product?
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 the product?
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 the product 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.
Unified Data Access that Streamlined Our Data Fragmented Environment
What do you like best about the product?
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 the product?
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 the product 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.
Intuitive UI, With Some Response Delays
What do you like best about the product?
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 the product?
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 the product 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.
Precision and Ease with IBM watsonx.data
What do you like best about the product?
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 the product?
Nothing, I just tried
What problems is the product 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.
Effortless Data Integration and Performance for Real Teams
What do you like best about the product?
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 the product?
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 the product 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.
User-Friendly Interface and Seamless Open-Source Integration
What do you like best about the product?
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 the product?
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 the product 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.
Effortless Data Management and Seamless Integration in One Platform
What do you like best about the product?
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 the product?
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 the product 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.
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.
Efficient Platform with Room for Simplicity
What do you like best about the product?
I like how fast, flexible, and easy it makes managing and analyzing large datasets.
What do you dislike about the product?
Sometimes the interface feels a bit complex, especially when navigating advanced features.
What problems is the product 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.
Reliable Data Access with a Steep Learning Curve
What do you like best about the product?
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 the product?
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 the product 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.
Real-Time Data Analysis with Effortless Setup
What do you like best about the product?
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 the product?
I haven't used any other service, and I liked what I used
What problems is the product 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.
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