We performed a comparison between Amazon Macie and Microsoft Purview Data Loss Prevention based on real PeerSpot user reviews.
Find out in this report how the two Data Loss Prevention (DLP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's performance is good."
"The tool gives confidence that our configuration is safe."
"The product can block the uploads to cloud services."
"Because everything is on Microsoft and we use Azure, integration with the product is easier. That's the most important thing when you use many Microsoft products. It's easier to integrate everything in one place."
"The product is easy to configure."
"For Purview's natively integrated compliance across Azure, Dynamics 365, and Office 365, I would give it a 10 out of 10. It provides all the insights and information."
"It has helped our clients to reduce the time to action on insider threats because it can be integrated."
"There's a good amount of documentation in case you run into any problems."
"The product has improved compliance and confidence. We are aware of the data that is leaving our organization. It provides confidence in data management and information storage."
"We can use Microsoft Purview Data Loss Prevention to manage devices and site policies."
"Amazon Macie is expensive."
"There is a lot of ambiguity when you are setting up labels, such as sensitive information labels. It is a little daunting at first if you don't have prior knowledge, and there is a little bit of a learning curve for setting up the labels. Some of the setup wizards could be more helpful from an AI perspective. They can streamline the setup through more AI technologies so that you don't have to jump through so many hoops and different menus and dropdowns. It would be useful to have a setup wizard that is more hands-off and engaging for setting up the information type labels. If you tell them this is what we're trying to protect, it should basically start to lead you down that path of best practices. Such a feature would be great."
"There is no AIP for Linux systems. That's a setback. Another thing it's lacking is libraries to work with Python. It has libraries for C# and C++, for example, but not for Python and, these days, Python is very useful."
"They do not provide language options beyond the ones already available, so our language option is missing."
"The scalability, in terms of the portal, could be more user-friendly. Sometimes I have faced difficulties in identifying the options."
"The support is poor."
"The platform can be challenging to navigate and has the potential for improvement."
"There is a need for improvements, particularly in ensuring that file-based recognition is more reliable and comprehensive."
"The solution should provide better integration with other systems."
More Microsoft Purview Data Loss Prevention Pricing and Cost Advice →
Amazon Macie is ranked 21st in Data Loss Prevention (DLP) with 2 reviews while Microsoft Purview Data Loss Prevention is ranked 1st in Data Loss Prevention (DLP) with 13 reviews. Amazon Macie is rated 6.6, while Microsoft Purview Data Loss Prevention is rated 8.0. The top reviewer of Amazon Macie writes "The solution's performance is good but needs improvement in pricing". On the other hand, the top reviewer of Microsoft Purview Data Loss Prevention writes "Automation has given us consistent analytics and improved quality of insights into user activity". Amazon Macie is most compared with Symantec Data Loss Prevention, Trend Micro Integrated Data Loss Prevention and Palo Alto Networks Enterprise Data Loss Prevention, whereas Microsoft Purview Data Loss Prevention is most compared with Symantec Data Loss Prevention, Forcepoint Data Loss Prevention, Microsoft Intune, Zscaler DLP and Digital Guardian. See our Amazon Macie vs. Microsoft Purview Data Loss Prevention report.
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We monitor all Data Loss Prevention (DLP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
