IBM Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.1 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
Pricing
IBM Cloud Pak for Data
Editions & Modules
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Offerings
Pricing Offerings
IBM Cloud Pak for Data
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for Data
Considered Both Products
IBM Cloud Pak for Data
Chose IBM Cloud Pak for Data
IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design.
Chose IBM Cloud Pak for Data
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to …
Chose IBM Cloud Pak for Data
better inbuilt integration with many system to store data from multiple application to run matured AI/ML solution, which will give prediction for utility service , SAP DI solution was not stable enough , faced
Chose IBM Cloud Pak for Data
IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
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IBM Cloud Pak for Data
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User Ratings
IBM Cloud Pak for Data
Likelihood to Recommend
8.9
(9 ratings)
Likelihood to Renew
9.1
(2 ratings)
User Testimonials
IBM Cloud Pak for Data
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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Pros
IBM
  • Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
  • Visualization and reporting.
  • Rapidly provides business -ready data to all users equally.
  • Manage data spread across distributed stores and clouds.
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Cons
IBM
  • Cannot save changes to some secrets in the internal vault
  • Sign-in issues on environments where IAM is enabled
  • The Enforce quotas option is disabled
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Alternatives Considered
IBM
IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
Read full review
Return on Investment
IBM
  • We have the ability to access all our data much quicker through the unified search option.
  • 30% increase in productivity through the introduction of AI.
  • Improved data security and governance.
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