IBM Cloud Pak for Data vs. Microsoft Purview Data Governance vs. SAP Data Intelligence

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
Microsoft Purview Data Governance
Score 8.0 out of 10
N/A
The Microsoft Purview data governance solution help organizations govern, protect, and manage data, wherever it lives. It provides integrated coverage and helps address the fragmentation of data across organizations, the lack of visibility that hampers data protection and governance, and the blurring of traditional IT management roles.N/A
SAP Data Intelligence
Score 8.4 out of 10
N/A
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
Pricing
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
Free Trial
NoNoYes
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoYes
Entry-level Setup FeeNo setup feeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
Considered Multiple Products
IBM Cloud Pak for Data
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
Microsoft Purview Data Governance

No answer on this topic

SAP Data Intelligence

No answer on this topic

Best Alternatives
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
Small Businesses
Egnyte
Egnyte
Score 9.4 out of 10
Egnyte
Egnyte
Score 9.4 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Oracle GoldenGate
Oracle GoldenGate
Score 8.1 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
Likelihood to Recommend
8.9
(9 ratings)
-
(0 ratings)
7.9
(55 ratings)
Likelihood to Renew
9.1
(2 ratings)
-
(0 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
-
(0 ratings)
8.0
(50 ratings)
Support Rating
-
(0 ratings)
-
(0 ratings)
6.7
(47 ratings)
Configurability
-
(0 ratings)
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
IBM Cloud Pak for DataMicrosoft Purview Data GovernanceSAP Data Intelligence
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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Microsoft
No answers on this topic
SAP
If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
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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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Microsoft
No answers on this topic
SAP
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
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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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Microsoft
No answers on this topic
SAP
  • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
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Likelihood to Renew
IBM
No answers on this topic
Microsoft
No answers on this topic
SAP
Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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Usability
IBM
No answers on this topic
Microsoft
No answers on this topic
SAP
I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.
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Support Rating
IBM
No answers on this topic
Microsoft
No answers on this topic
SAP
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
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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.
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Microsoft
No answers on this topic
SAP
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
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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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Microsoft
No answers on this topic
SAP
  • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
  • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
  • It runs multiple ML models which enhances flexibility when managing data.
Read full review
ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard