We performed a comparison between IBM Data Governance and Microsoft Purview based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems."
"The labeling is the most valuable feature for the companies I'm installing it for. Some of them have several thousand staff, and their concerns are around confidential or private data being shared. The labels and the policies involved with them give them that initial visibility."
"I use the tool in projects as a medium to provide information as reports to the stakeholders."
"Microsoft Purview's most valuable feature is its ability to identify content across a number of prescribed regulatory frameworks, including Microsoft, GDPR, PII, and UCC Financial."
"The custom classifications are one of the most valuable features."
"The cataloging tool is definitely the most valuable... It tells you about all the data you have in your tables, which helps people understand our data. We now know what data we have."
"MIP also provides strong information rights management settings, such as the ability to specify who has access to content and at what time."
"It is pretty early, but the decision to go with this investment was largely driven by the simplification of our information security technology management stack. That is the primary objective. Once you simplify and you have a connected structure, it allows for faster adoption there. It also gives us additional capabilities as we go on using the technology that we are familiar with, and we do not have to depend on outside parties to come in and tell us how to do certain things."
"Instead of having to manually write down which tables and columns exist and then describe them, you can do that process in one go, by simply connecting to a source. That's a huge time-saver and a great benefit of Purview."
"One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial."
"There are some limitations with regard to the lineage of data from different parts of the system."
"The product needs improvement to edit the number of assets. It needs to be more inuitive as well."
"The current event-based retention management is very poor."
"Purview's data loss prevention for macOS endpoints has some limitations, and the end-user experience of recovering from a failure is lacking."
"Another area for improvement is in managing the business glossary terms. If they could provide the same type of method that we use to configure the scan rule sets, that would be helpful. Currently, there is no option like this, so we have to do it manually. Automatic detection would be great."
"There is room for improvement when it comes to Purview's data connector platform in supporting ingestion from non-Microsoft data sources."
"I'd like to see them improve the training for implementing this type of solution."
"The API needs some improvement when connecting to non-Microsoft API sources. This is a limiting factor."
IBM Data Governance is ranked 29th in Data Governance with 1 review while Microsoft Purview is ranked 1st in Data Governance with 48 reviews. IBM Data Governance is rated 8.0, while Microsoft Purview is rated 7.6. The top reviewer of IBM Data Governance writes "Provides a single interface to monitor and navigate data quality metrics". On the other hand, the top reviewer of Microsoft Purview writes "User friendly with good documentation but needs to cover more non-Microsoft use cases". IBM Data Governance is most compared with Collibra Governance and Informatica Axon, whereas Microsoft Purview is most compared with Collibra Governance, Alation Data Catalog, Varonis Platform, Informatica Axon and Microsoft Purview Information Protection.
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If I have to choose one, it's Purview. However, it's pretty new (just the beginning), has no complete capabilities and is not mature.
IBM is very complex and hard to implement.