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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
Great experience with automation
What do you like best about the product?
it gets many unknown information from your data
What do you dislike about the product?
sometimes it is to slow and cosumes to much energy
What problems is the product solving and how is that benefiting you?
it gets a lot of our data and many unknown information
Reliable Data Platform ,Still Evolving Though
What do you like best about the product?
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.
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 the product?
1. Learning takes time for a beginner.
2. Initial setup also takes time.
2. Initial setup also takes time.
What problems is the product 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.
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.
IBM Watsonx Usage Experience
What do you like best about the product?
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 the product?
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 the product 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.
Makes working with data much easier
What do you like best about the product?
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 the product?
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 the product 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.
It's good but not so good, actually the editor is not so good but other than that it is awesome
What do you like best about the product?
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 the product?
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 the product 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
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