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Google Cloud Data Loss Prevention vs Material Data Protection comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Cloud Data Loss Prev...
Ranking in Data Loss Prevention (DLP)
27th
Average Rating
9.0
Reviews Sentiment
5.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Material Data Protection
Ranking in Data Loss Prevention (DLP)
54th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Loss Prevention (DLP) category, the mindshare of Google Cloud Data Loss Prevention is 1.0%, up from 0.7% compared to the previous year. The mindshare of Material Data Protection is 0.4%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Loss Prevention (DLP) Market Share Distribution
ProductMarket Share (%)
Google Cloud Data Loss Prevention1.0%
Material Data Protection0.4%
Other98.6%
Data Loss Prevention (DLP)
 

Featured Reviews

RaviUpadhyay - PeerSpot reviewer
Security Consultant at HCLSoftware
Automated scans have classified sensitive data and protect privacy in complex environments
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss Prevention helps significantly. They have a predefined template, and whatever category comes under sensitive data has been researched with almost 99% accuracy and included in the template. A person needs to attach the template and scan their data. Once initiated, it will take time, such as 24 hours or 48 hours, depending on the data size. Once the template is applied and the system scans it, a tagging report of the sensitive data locations is returned. A report is available, and what previously would have taken a month can now be achieved by Google Cloud Data Loss Prevention services in detecting sensitive PII data within 48 hours maximum, even if the data size is larger. Once the report is available, the person would know where the sensitive data is located. Dealing with sensitive data is the next question. If data is not to be shared, it has to be hidden, masked, or changed. All kinds of things can be applied to dealing with that data. Google Cloud Data Loss Prevention has another feature available called de-identification services, which deals with sensitive data in applications or production environments.
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881,707 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
12%
University
11%
Financial Services Firm
9%
Media Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Google Cloud Data Loss Prevention?
When someone asks where sensitive data is located and to classify it, they would start working manually and would take four or five months to detect only that sensitive data. Google Cloud Data Loss...
What advice do you have for others considering Google Cloud Data Loss Prevention?
Further strategies can be defined based on specific use cases. For example, in an R&D company where doctors are dealing with sensitive data and need to share it, if two doctors are sitting in d...
What is your experience regarding pricing and costs for Google Cloud Data Loss Prevention?
Pricing is based on data size. Google offers different pricing models, and they provide good discounts when someone commits to a long-term engagement with their Google services.
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Overview

Find out what your peers are saying about Microsoft, Forcepoint, Broadcom and others in Data Loss Prevention (DLP). Updated: January 2026.
881,707 professionals have used our research since 2012.