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IBM Cloud Pak for Data OverviewUNIXBusinessApplication

IBM Cloud Pak for Data is #3 ranked solution in top Data Virtualization tools and #41 ranked solution in top Data Integration Tools. PeerSpot users give IBM Cloud Pak for Data an average rating of 6 out of 10. IBM Cloud Pak for Data is most commonly compared to Azure Data Factory: IBM Cloud Pak for Data vs Azure Data Factory. The top industry researching this solution are professionals from a computer software company, accounting for 29% of all views.
What is IBM Cloud Pak for Data?

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM Cloud Pak for Data was previously known as Cloud Pak for Data.

IBM Cloud Pak for Data Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

IBM Cloud Pak for Data Video

IBM Cloud Pak for Data Pricing Advice

What users are saying about IBM Cloud Pak for Data pricing:
"I think that this product is too expensive for smaller companies."

IBM Cloud Pak for Data Reviews

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Director at a university with 1,001-5,000 employees
Real User
Top 10
Good reporting, but resource utilization is high and technical support can be improved
Pros and Cons
  • "The most valuable features are data virtualization and reporting."
  • "The technical support could be a little better."

What is our primary use case?

We are a consultancy company that specializes in data integration and we advise clients on what solutions will best meet their requirements.

What is most valuable?

The most valuable features are data virtualization and reporting. Data virtualization has to do with integrating data from different databases. 

What needs improvement?

The utilization of system resources is high.

The technical support could be a little better.

Having a "lite" version for a reduced price would be of interest to smaller companies.

For how long have I used the solution?

I only began using the IBM Cloud Pak for Data recently, although some of the people in my team have been using it for close to a year and a half.

What do I think about the stability of the solution?

This product is stable enough. Like with all of these large packages, it's a combination of different tools that have been brought together, so stability is always an issue with them. It will improve over time.

What do I think about the scalability of the solution?

IBM has enough experience with scalability, although I have found that the Cloud Pak for Data uses a lot of resources. It is not very resource-economic.

How are customer service and technical support?

We get support directly from IBM and I would say that it's good enough. It can be better, but at this point, it's sufficient.

Which solution did I use previously and why did I switch?

These integration-type products have a lot of things that are now pre-packaged in a cloud environment. There are similar solutions in Microsoft Azure, Google, and others. From an educational or teaching perspective, I think that as these systems start to have more influence in the market, there will be big a bigger concentration on them in terms of training.

At this point, I have only looked at them in a general sense and have not had much hands-on experience. I have focused more on open-source products.

What was our ROI?

I think that this solution is targetted for larger companies and it would be of interest to them, but for smaller companies, it would be tough to get value out of it.

What's my experience with pricing, setup cost, and licensing?

I think that this product is too expensive for smaller companies.

What other advice do I have?

I would rate this solution a five out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: partner