G2

Aleksander M.

Solutions Architect

Information Technology and Services

Enterprise (> 1000 emp.)

7/10/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Unified Data Integration and Governance for Analytics and AI on OpenShift"

4.5/5

What do you like best about IBM Cloud Pak for Data?

The most helpful aspect is the ability to connect different data sources, prepare and govern data, and then use it for analytics or AI workloads within a consistent environment. Its integration with Red Hat OpenShift is also valuable because it provides flexibility for hybrid cloud deployments and allows organizations to run the platform in their own infrastructure. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

The main drawback is the complexity of deploying and maintaining the platform, particularly in self-managed environments. Installation, upgrades, capacity planning, and troubleshooting can require significant OpenShift and infrastructure expertise, which may make adoption difficult for smaller teams. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

IBM Cloud Pak for Data helps solve the problem of fragmented data and AI environments by bringing data integration, governance, analytics, and AI development into a single platform. It allows teams to connect data from different sources, prepare and catalog it, apply access controls, and make it available for analytics and machine learning workloads. Review collected by and hosted on G2.com.