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Netwrix Data Classification Reviews

Vendor: Netwrix
5.0 out of 5

What is Netwrix Data Classification?

Featured Netwrix Data Classification reviews

Netwrix Data Classification mindshare

As of July 2026, the mindshare of Netwrix Data Classification in the Data Governance category stands at 1.4%, up from 0.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Netwrix Data Classification1.4%
Microsoft Purview Data Governance9.4%
Collibra Platform8.5%
Other80.7%
Data Governance
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Top industries

By visitors reading reviews
Financial Services Firm
13%
Outsourcing Company
11%
Comms Service Provider
10%
Construction Company
10%
Manufacturing Company
8%
Computer Software Company
5%
Government
5%
Healthcare Company
5%
Aerospace/Defense Firm
5%
Retailer
5%
Insurance Company
3%
Educational Organization
3%
Legal Firm
2%
Energy/Utilities Company
2%
University
2%
Media Company
2%
Wholesaler/Distributor
1%
Hospitality Company
1%
Logistics Company
1%
Non Tech Company
1%
Non Profit
1%
Transportation Company
1%

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Netwrix Data Classification Reviews Summary
Author infoRatingReview Summary
Isms Manager & Information Systems Security at a financial services firm with 201-500 employees5.0I find Netwrix Data Classification intuitive, cost-effective, and crucial for automated document classification and compliance, superior to Microsoft's tiered offerings. I seek better enforcement of confidential labels for shared documents, and prefer no AI for security execution.
Business Development Manager at BAKOTECH4.5I find Netwrix Data Classification to be a flexible, scalable, and cost-effective solution for auditing and data classification. Its user-friendly design and predefined rules simplify tasks, though interface complexity and licensing structure could be improved for better accessibility.
Director at IP Infotech Pvt. Ltd.4.5I found Netwrix Data Classification to be effective for network data discovery and security, providing an accurate data framework. However, it falls short on endpoint data classification, needing improvements in user-friendliness and faster technical support response times.
GF
Gregory Falowo
Isms Manager & Information Systems Security at a financial services firm with 201-500 employees
Mar 19, 2026
Automated data labeling has reduced manual work and supports our privacy compliance needs
Simonas Palevicius - PeerSpot reviewer
Simonas Palevicius
Business Development Manager at BAKOTECH
Oct 20, 2023
A comprehensive data classification and information security solution that offers robust functionality, scalability, and competitive pricing
IK
Ishan Kukreti
Director at IP Infotech Pvt. Ltd.
Feb 23, 2024
Reasonably priced and helps discover and secure data through a network