Try our new research platform with insights from 80,000+ expert users
IBM Cloud Pak for Data Logo

IBM Cloud Pak for Data pros and cons

Vendor: IBM
3.9 out of 5
Post review

Pros & Cons summary

IBM Cloud Pak for Data is a comprehensive solution featuring data virtualization, robust connectivity for model development, and containerization for seamless cloud compatibility. Watson Studio and Watson Machine Learning provide collaboration and service integration, while Watson OpenScale needs improvement in monitoring. Despite effective data management with Watson Catalog, technical support requires enhancement. Deployment demands significant infrastructure, complicating transitions and affecting performance, particularly in catalog searching and connector efficiency.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.
Get the report

Prominent pros & cons

PROS

Data virtualization and reporting are highlighted as valuable for effectively managing dispersed data sources.
Watson Studio and Watson Machine Learning are recognized for offering APIs and facilitating the development of machine learning models.
Watson Knowledge Catalog is praised for enhancing data governance implementation.
Containerization is noted for its flexibility in enabling easy transition to different cloud environments.
Scalability is rated highly, ensuring adaptability to company growth and requirements.

CONS

Technical support could be improved.
Watson OpenScale, a component of IBM Cloud Pak for Data, needs significant improvements in monitoring model quality and fairness.
IBM Cloud Pak for Data requires a substantial infrastructure for initial deployment, making it challenging to implement in certain scenarios.
Migration from on-premise to the cloud is more complicated compared to other vendors, especially due to the decommissioning of XML capabilities.
There is a need for more connectors to enhance IBM Cloud Pak for Data's maturity level.
 

IBM Cloud Pak for Data Pros review quotes

reviewer1229955 - PeerSpot reviewer
Mar 30, 2022
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
Read full review
Michelle Leslie - PeerSpot reviewer
Jan 15, 2025
I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography.
Read full review
HM
Jun 15, 2023
Its data preparation capabilities are highly valuable.
Read full review
Buyer's Guide
IBM Cloud Pak for Data
January 2025
Free Report: IBM Cloud Pak for Data Reviews and More
Learn what your peers think about IBM Cloud Pak for Data. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
DOWNLOAD NOW
832,138 professionals have used our research since 2012.
Murali B - PeerSpot reviewer
Oct 25, 2022
What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
Read full review
reviewer2036520 - PeerSpot reviewer
Jan 24, 2023
The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources.
Read full review
Drew Collins - PeerSpot reviewer
Mar 21, 2023
It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten.
Read full review
reviewer2140437 - PeerSpot reviewer
Apr 24, 2023
Scalability-wise, I rate the solution a nine or ten out of ten.
Read full review
Jacek Wróż - PeerSpot reviewer
Dec 6, 2022
You can model the data there, connect the data models with the business processes and create data lineage processes.
Read full review
Murali B - PeerSpot reviewer
Jul 12, 2024
IBM Watson Catalog and data pipelines are the most valuable features of the solution.
Read full review
reviewer1350504 - PeerSpot reviewer
May 27, 2020
The most valuable features are data virtualization and reporting.
Read full review
Show 3 more reviews (out of 13)
 

IBM Cloud Pak for Data Cons review quotes

reviewer1229955 - PeerSpot reviewer
Mar 30, 2022
There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement.
Read full review
Michelle Leslie - PeerSpot reviewer
Jan 15, 2025
What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated.
Read full review
HM
Jun 15, 2023
The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve.
Read full review
Buyer's Guide
IBM Cloud Pak for Data
January 2025
Free Report: IBM Cloud Pak for Data Reviews and More
Learn what your peers think about IBM Cloud Pak for Data. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
DOWNLOAD NOW
832,138 professionals have used our research since 2012.
Murali B - PeerSpot reviewer
Oct 25, 2022
One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back.
Read full review
reviewer2036520 - PeerSpot reviewer
Jan 24, 2023
The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one.
Read full review
Drew Collins - PeerSpot reviewer
Mar 21, 2023
The solution's user experience is an area that has room for improvement.
Read full review
reviewer2140437 - PeerSpot reviewer
Apr 24, 2023
The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support.
Read full review
Jacek Wróż - PeerSpot reviewer
Dec 6, 2022
The solution could have more connectors.
Read full review
Murali B - PeerSpot reviewer
Jul 12, 2024
The solution's catalog searching or map search needs to be improved.
Read full review
reviewer1350504 - PeerSpot reviewer
May 27, 2020
The technical support could be a little better.
Read full review
Show 3 more reviews (out of 13)

Product Categories

Product Categories
Data Virtualization
Data Integration

Popular Comparisons

Popular Comparisons
SAP HANA vs IBM Cloud Pak for Data Logo
SAP HANA vs IBM Cloud Pak for Data
Denodo vs IBM Cloud Pak for Data Logo
Denodo vs IBM Cloud Pak for Data
TIBCO Data Virtualization vs IBM Cloud Pak for Data Logo
TIBCO Data Virtualization vs IBM Cloud Pak for Data
See all alternatives

Product Categories

Product Categories
Data Virtualization
Data Integration

Popular Comparisons

Popular Comparisons
SAP HANA vs IBM Cloud Pak for Data Logo
SAP HANA vs IBM Cloud Pak for Data
Denodo vs IBM Cloud Pak for Data Logo
Denodo vs IBM Cloud Pak for Data
TIBCO Data Virtualization vs IBM Cloud Pak for Data Logo
TIBCO Data Virtualization vs IBM Cloud Pak for Data
See all alternatives
Related questions
  • 7
Difference between informatica and SAP
  • 3
When evaluating Datacenter Virtualization, what aspect do you think is the most important to look for?
  • 33
What is the difference between Data Mesh and Data Fabric?
  • 46
Which Data Strategy solution have you used?
  • 1
Why is Data Virtualization important for companies?