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IBM Cloud Pak for Data Reviews

Vendor: IBM
3.9 out of 5

What is IBM Cloud Pak for Data?

Featured IBM Cloud Pak for Data reviews

IBM Cloud Pak for Data mindshare

Product category:
As of August 2025, the mindshare of IBM Cloud Pak for Data in the Data Virtualization category stands at 17.0%, up from 16.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Virtualization Market Share Distribution
ProductMarket Share (%)
IBM Cloud Pak for Data17.0%
Denodo34.2%
TIBCO Data Virtualization16.1%
Other32.69999999999999%
Data Virtualization

PeerResearch reports based on IBM Cloud Pak for Data reviews

TypeTitleDate
ProductReviews, tips, and advice from real usersAug 28, 2025Download
ComparisonIBM Cloud Pak for Data vs DenodoAug 28, 2025Download
ComparisonIBM Cloud Pak for Data vs SAP HANAAug 28, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.0N/A93%186 interviewsAdd to research
Azure Data Factory4.0N/A92%92 interviewsAdd to research
 
 
Key learnings from peers

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Review data by company size

By reviewers
Company SizeCount
Small Business6
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business92
Midsize Enterprise51
Large Enterprise296
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
29%
Manufacturing Company
10%
Computer Software Company
9%
Government
5%
Retailer
4%
Educational Organization
4%
University
4%
Insurance Company
4%
Healthcare Company
3%
Construction Company
3%
Wholesaler/Distributor
2%
Energy/Utilities Company
2%
Comms Service Provider
2%
Legal Firm
2%
Non Profit
2%
Performing Arts
2%
Logistics Company
2%
Media Company
1%
Wellness & Fitness Company
1%
Aerospace/Defense Firm
1%
Real Estate/Law Firm
1%
Outsourcing Company
1%
Hospitality Company
1%
Transportation Company
1%

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IBM Cloud Pak for Data customers

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IBM Cloud Pak for Data Reviews Summary
Author infoRatingReview Summary
Data asset management engineer at a tech services company with 1-10 employees3.5As a data steward for African banks, I use IBM Cloud Pak for reference data management. It excels in tracking data origins and quality. However, a comprehensive demo database would improve understanding. The choice of solution depends on client maturity.
Associate Manager at a consultancy with 10,001+ employees3.5In my experience with IBM Cloud Pak for Data, the most valuable features are the IBM Watson Catalog and data pipelines. However, the tool's catalog searching requires improvement, and handling metadata queries poses a challenge due to ISX format limitations.
Production In-Charge(Manager) at ING4.5I use IBM Cloud Pak for Data for spend and contract analytics, focusing on category management and supplier relationship improvements. It connects siloed data sources well but could improve in performance and availability to address cloud issues.
Associate Manager at a consultancy with 10,001+ employees4.5No summary available
Project Manager at Blue Technology4.5I recently worked on projects in Mexico using IBM Cloud Pak for Data to design e-commerce systems and sales proposals. It's valuable for data preparation and AI model integration, though it needs improved connectors and advanced data curation features.
Lead Architect at a financial services firm with 10,001+ employees4.5In our POC phase with IBM Cloud Pak for Data, we find the ETL layer and data stage valuable, but we need it to work with our standard Kubernetes orchestration layer instead of relying solely on the OpenShift container platform.
Freelance Innovation & Delivery at DMC3.0I found IBM Cloud Pak for Data valuable for its data quality and ETL tools, which helped us meet ROI requirements. However, the user experience needs improvement. We switched from a previous solution for its capabilities and cost-efficiency in data governance.
Senior Data Architect at AZframe4.5I find IBM Cloud Pak for Data valuable for creating a data catalog with Watson Knowledge Catalog, which enhances data profiling and quality. Its ROI depends on data quality improvement, though it could benefit from additional connectors for broader functionality.