Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance.
Professional service provides early and efficient support.
The policy working and detection technology need enhancements.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Sometimes the solution is not stable when the internal connection is not reliable, so this aspect needs improvement.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
Endpoint Data Loss Prevention needs to be improved as it is not up to expectations.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Microsoft Purview Data Loss Prevention usually performs well, except for endpoint Data Loss Prevention, which may need improvements.
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.
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