IBM watsonx.data as a Service
IBM SoftwareExternal reviews
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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.
Effortless Data Handling and Seamless IBM Integration
What do you like best about the product?
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.
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 the product?
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.
pricing also bit higher for small teams like us, it is getting hard to make decision just because of pricing.
What problems is the product 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.
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.
IBM WatsonX Efficient Capable AI Platform
What do you like best about the product?
IBM watsonx.data is a highly capable platform that includes a ton of features and capabilities. It has helped me expand my business and allowed me to tackle many more tasks than I was previously capable of
What do you dislike about the product?
IBM watsonX data has a lot of features and functionality so it can be difficult to zero in on what features you need to best serve your business use case
What problems is the product solving and how is that benefiting you?
Organization of customer data
how data be uplifted
What do you like best about the product?
easy of using and implementing, intergration
What do you dislike about the product?
should be around security and accountavility
What problems is the product solving and how is that benefiting you?
uplifting from legacy
Ease in creating multiple buckets for different portfolios in an organization
What do you like best about the product?
Reduces the time drastically and very easy to implement.
What do you dislike about the product?
I can't think of anything that i do not like about watsonx.data
What problems is the product solving and how is that benefiting you?
IBM watsonx analyzes and processes lots of unstructured data and provides better customer support.
One place for everything
What do you like best about the product?
I like the way it represented various sources of data and constructed queries for newbies
What do you dislike about the product?
There is lot of scope to improvise this product and more easy way to implement the service
What problems is the product solving and how is that benefiting you?
Its going to help us understanding the bad data and provide fix as needed
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