IBM watsonx.data as a Service
IBM SoftwareExternal reviews
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A game changer in data analytics
What do you like best about the product?
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.
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 the product?
I feel pricing could be concern for any organizations with small teams and low budgets.
What problems is the product 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.
Wonderful co-assistant
What do you like best about the product?
I like the natural dialogue and interactions
What do you dislike about the product?
I think the system still may require some other intermediate step processing that could help with argumentative mining
What problems is the product solving and how is that benefiting you?
I am using it to help with better customer feedback and automated services
Devops engineer
What do you like best about the product?
Cost efficiency great in the market, excelent scalability and optimized for AI data
What do you dislike about the product?
Complexity of the whole system and the learning curve is too much a burden compared with other ones
What problems is the product solving and how is that benefiting you?
Ai model training woks great with a relatively low cost
Great Data Platform, just a couple issues
What do you like best about the product?
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 the product?
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 the product 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.
Drives Efficiency and Governance through Streamlined Data Analaysis and Visualization
What do you like best about the product?
I really appreciate how it integrates comprehensive data warehouse optimization with performance analysis and antrual language processing. It handles missing values, outliers, and provides real-time insights and exceptional data visualization.
What do you dislike about the product?
For users unfamiliar with advanced features like machine learning models and RAG, there might be a learning curve. The support documentation is thorough but navigationg these features can be complex.
What problems is the product solving and how is that benefiting you?
Watsonx.data has greatly enhanced our data strategy by integrating large financial datasets, optimizing performance, and delivering real-time insights and visualization. Its strong data governance and advanced analytics, including machine learning and natrual language analysis, significantly boost our decision-making and operational efficiency.
The top data tool that can handle any and all requirements of a company.
What do you like best about the product?
IBM Watsonx.data is the best choice for the safe use and best-featured data for your management. Working in a large collection just when needed, starting from scratch up to using the data to get solutions for various data problems, could be helpful in terms of time and effort. With WatsonX.Data, we can quickly train, tweak, and test different machine learning models and then put them to use. The sandstone models are used for fine-tuning tasks that are specific to them, and granite is the base for GPT-like architecture. It saves time, money, friendly to the environment, and is also so much effective.
What do you dislike about the product?
The APIs integration could be improved and the performance lag should be reduced also.
What problems is the product solving and how is that benefiting you?
With it we can quickly train, teak, and test different machine learning models, which saves us both time and money.
IBM Watsonx.data is one of the best Data Analysis tool.
What do you like best about the product?
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 the product?
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 the product 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.
Powerful Data Analytics Tool leveraging AI & creating Open Data standards
What do you like best about the product?
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 the product?
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 the product 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.
AI integration in my data warehouse!
What do you like best about the product?
Using natural language to get insights into my data saves me a lot of time on unseen data.
What do you dislike about the product?
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 the product 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.
The brain behind your GenAI apps
What do you like best about the product?
Eas of use vector solution, really serverless, cost effective, connected ecosystem
What do you dislike about the product?
Cassandra legacy. There is generic industry persception that cassandra is complex.
What problems is the product solving and how is that benefiting you?
Ability to vectorise and do effective vector search.
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