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IBM Cloud Pak for Data pros and cons

Vendor: IBM
4.0 out of 5
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Pros & Cons summary

IBM Cloud Pak for Data features data virtualization, comprehensive reporting, Watson Studio for collaboration, and Watson Machine Learning with extensive APIs. Watson Knowledge Catalog supports data governance, while containerization eases cloud migration. It offers modeler flows for graphical model development. However, technical support, Watson OpenScale, and deployment infrastructure need improvement. Native XML capabilities being decommissioned complicate migration and cloud transitions compared to other vendors.

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Prominent pros & cons

PROS

IBM Cloud Pak for Data provides data virtualization and powerful reporting capabilities.
Watson Studio supports group collaboration and code development, complemented by Watson Machine Learning and various integrable APIs.
Watson Knowledge Catalog in IBM Cloud Pak for Data enhances data governance.
Containerization feature allows easy migration across different clouds.
DataStage in IBM Cloud Pak for Data facilitates connection to various data sources, enhancing data integration.

CONS

Technical support could be improved.
Watson OpenScale needs significant enhancement for monitoring deployed models.
Initial deployment requires a large infrastructure, preventing implementation in many scenarios.
Decommissioned native features like XML input and output pose challenges.
Migrating from on-premise to the cloud is complicated compared to other vendors.
 

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.
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HM
Jun 15, 2023
Its data preparation capabilities are highly valuable.
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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.
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Buyer's Guide
IBM Cloud Pak for Data
November 2024
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: November 2024.
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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.
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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.
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reviewer2140437 - PeerSpot reviewer
Apr 24, 2023
Scalability-wise, I rate the solution a nine or ten out of ten.
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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.
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Murali B - PeerSpot reviewer
Jul 12, 2024
IBM Watson Catalog and data pipelines are the most valuable features of the solution.
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reviewer1350504 - PeerSpot reviewer
May 27, 2020
The most valuable features are data virtualization and reporting.
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KR
Aug 21, 2023
DataStage allows me to connect to different data sources.
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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.
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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.
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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.
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Buyer's Guide
IBM Cloud Pak for Data
November 2024
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: November 2024.
DOWNLOAD NOW
816,406 professionals have used our research since 2012.
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.
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Drew Collins - PeerSpot reviewer
Mar 21, 2023
The solution's user experience is an area that has room for improvement.
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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.
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Jacek Wróż - PeerSpot reviewer
Dec 6, 2022
The solution could have more connectors.
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Murali B - PeerSpot reviewer
Jul 12, 2024
The solution's catalog searching or map search needs to be improved.
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reviewer1350504 - PeerSpot reviewer
May 27, 2020
The technical support could be a little better.
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KR
Aug 21, 2023
The product must improve its performance.
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Show 2 more reviews (out of 12)

Product Categories

Product Categories
Data Virtualization
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Product Categories

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