G2

Anshuman P.

Executive Business Analyst

Small-Business (50 or fewer emp.)

9/25/2026

"Red Hat OpenShift DS enabling smooth production transition & ML workflow"

4/5

What do you like best about Red Hat OpenShift Data Science?

The biggest win of Data science professional like us while using Red Hat Open shift is that it allows all engineers and scientist to seamlessly collaborate on project. The software helps us to self containerize enabling smooth development to product level deployment. Review collected by and hosted on G2.com.

What do you dislike about Red Hat OpenShift Data Science?

Sometimes while running multiple notebooks and GPU models the workload gets strained and require more hardware resource to function. Apart from above pain point RHDS has steep learning curve in understanding of Kubernetes and containerzation domain knowledge making it challenging. Review collected by and hosted on G2.com.

What problems is Red Hat OpenShift Data Science solving and how is that benefiting you?

RH OpenShift has helped in containerizing the entire ML workflow and models that used to break due to environment changes, thus enabling smooth production transition. I have built on-premise Openshift behaved identically on a cloud cluster. For regulated shops this is the killer feature where we can deploy across the hybrid cloud i.e. on premise, at the edge, or in disconnected environments. I've watched teams pick this purely because a fully disconnected, supported ML stack is something other tools don't clearly offer. Review collected by and hosted on G2.com.