Data and AI with IBM watsonx.data
April 03, 2025
Data and AI with IBM watsonx.data
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM watsonx.data
To improve our ETL process Integrating IBM watsonx.data with Iceberg has significantly enhance our data management capabilities , we can sync external Iceberg data into watsonx.data without moving the data physically. Different engines has access the same data simultaneously, enabling data sharing across multiple repositories. The combination allows for efficient data processing and advanced analytics, leveraging the strengths of both platforms.
Pros
- Data copy and etl processing
- Data synchronization
- query performance
- data migration
Cons
- platform stability
- flexibility
- query engine performance
- IBM watsonx.data saas platform flexibility and stability
- time saving
- cost saving
- better performance
cloud platform and tool based options to integrate with the different clouds and code based IDE'S like microsoft vs code with python and spark
aws s3 support and vscode support
with iceberg open table format and Presto engine the performance and flexibility increased and also with watsonx.ai with GENAI capability which other tools lag as of now.
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?
Yes
Did implementation of IBM watsonx.data go as expected?
Yes
Would you buy IBM watsonx.data again?
Yes
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