IBM watsonx.data FTW
Overall Satisfaction with IBM watsonx.data
For fast and quick insights of the oncoming data. No SQL analysis, thanks to the GenAI feature so that we can query using natural language.
Apart from the NLP analysis, we often process documents to query from utilizing the RAG features. The vector databases works great on addition.
And lastly their insights on data warehouse performance for optimization.
Apart from the NLP analysis, we often process documents to query from utilizing the RAG features. The vector databases works great on addition.
And lastly their insights on data warehouse performance for optimization.
Pros
- Data analysis using natural language.
- Data warehouse optimization via performance analysis
- No hallucination RAG
Cons
- Connecting data from more sources
- Agentic LLM involvement in their product
- Offer transparency with their RAG solution
- Saves time on querying
- Helps keep my warehouse optimized for queries
- I can upload complex docs for hassle free understanding
AstraDB was giving me vector database solutions, Retrieval Augmented Generation features and even Agentic workflows that IBM watsonx.data does not have currently. But the volume of data I've coming everyday and has to deal with everyday, can do anomaly detection just in plain English or monitor the performance of my warehouse, IBM watsonx.data does it all.
Do you think IBM watsonx.data delivers good value for the price?
Yes
Are you happy with IBM watsonx.data's feature set?
Yes
Did IBM watsonx.data live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of IBM watsonx.data go as expected?
I wasn't involved with the implementation phase
Would you buy IBM watsonx.data again?
Yes


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