SG
Sunandan G.
DevOps Engineer II
Mid-Market (51-1000 emp.)
"Complex Setup and Rising Costs at Scale Despite a Strong Lakehouse Foundation"
What do you like best about IBM watsonx.data?
its open lakehouse architecture, which lets you query data across multiple sources without moving it.
It also delivers strong performance with built-in query optimization and integrates easily with existing data tools, making analytics faster and simpler. Review collected by and hosted on G2.com.
What do you dislike about IBM watsonx.data?
setup and configuration can feel complex, especially for smaller teams without strong data engineering support.
It can also become expensive at scale, particularly when handling large workloads or advanced features. Review collected by and hosted on G2.com.