Powerful data analytics tool!
September 27, 2024

Powerful data analytics tool!

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM watsonx.data

We use IBM watsonx.data to build our data warehouse and provide a central repository for access and administration of data for AI use cases. It allows us to centralize data from across the firm and curate it for ML/AI model development. It provides enterprise grade security while working across our hybrid cloud deployment.

Pros

  • Integration with cloud
  • Enterprise grade security
  • Great Gen AI solutions out of the box

Cons

  • Cost is high and could be prohibitive for small teams
  • Initial learning curve is steep
  • Poor documentation and support
  • It has allowed our global team to collaborate seamlessly
  • Saved developer time by over 20% by reducing need for data access and data engineering tasks
  • Integrates well with other IBM services like watsonx.governance
Its extremely useful to data scientists and engineers and allows us to work on business logic and not worry about security and data storage/access complications. It integrates well with our hybrid cloud platform. It can get a bit complex to configure for advanced use cases. Costs are also high compared to other similar tools
IBM watsonx.data integrates well with other IBM services used in our deployment and provides enterprise grade security which is critical for our regulated business

Do you think IBM watsonx.data delivers good value for the price?

Not sure

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?

Yes

Would you buy IBM watsonx.data again?

Yes

IBM watsonx.data is well suited for use cases were you have to combine various data sources to build a lakehouse. It provides a secure framework to gather data and provide access to it to build ML/AI models. It allows users to focus on prompts and business logic than spend time on data engineering.

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