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Google Cloud Data Loss Prevention vs Mimecast Incydr comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

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)
22nd
Average Rating
9.0
Reviews Sentiment
5.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Mimecast Incydr
Ranking in Data Loss Prevention (DLP)
20th
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
78
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 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 Mimecast Incydr is 2.4%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Loss Prevention (DLP) Market Share Distribution
ProductMarket Share (%)
Mimecast Incydr2.4%
Google Cloud Data Loss Prevention1.0%
Other96.6%
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.
Chuck_Mackey - PeerSpot reviewer
Director, Cybersecurity Consulting at a tech services company with 51-200 employees
Provides comprehensive visibility and protection, helps in identifying the gaps in security, and comes with excellent onboarding support
In a couple of instances, we had a little bit of trouble in getting it distributed throughout the organization. We ultimately managed to do it, but they talk about it being a pretty simple process, and it became a little laborious. It would just turn away. The agents were not being distributed. It was just churning and churning and churning. When we were looking for specific categories of data, it was getting bogged down, but that was not even so much Code42, although some of it was their issue. It really has to do with the overall infrastructure and what the organization is prepared to do. If the infrastructure or the networking is a little hinky or you don't have a really finely tuned network infrastructure environment and your patches aren't up to date on your servers and your endpoints, it could get a little sticky. Other than that, it was okay. We really didn't have much problem beyond that. It took a couple of days to sort that out, but it was no big deal.

Quotes from Members

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

Pros

"It is user- friendly and has a easy integration."
"These tasks can be achieved by Google Cloud Data Loss Prevention services in a programmatic way, very quickly and very efficiently."
"It required very little ongoing maintenance once setup."
"Backup and recovery have been great, but I love having the ability to keep the hybrid type build which they offer."
"It has quite a bit of flexibility in configuring backup sets."
"The solution is very stable. Very rarely do we have any issues with it. We don't have to deal with bugs or glitches. It doesn't crash or freeze. We find it to be reliable."
"Works in the background and users are able to perform restores."
"There are a couple of things. One of them is that they have what they call Incydr. Their detection and response solution to the insider threat area is called Incydr. That gives visibility to the clients that have widely dispersed employee bases due to work from home, or that had a dispersed workforce predating any of the work from home requirements. Even though they might not be inside the organization physically, they're inside the organization. It allows us to get some visibility into what people are doing, what the context is, and how to control what might be the potential for intellectual property theft or file exposure."
"Risk factors can be adjusted for all intricate details."
"Low system overhead, setting retention policies, ease of use"
 

Cons

"Google Cloud Data Loss Prevention has a system, but it is not very mature."
"Improvement are made as per client requirement."
"What I think could be improved is how I get support."
"The application, written in Java, required far more system resources on a Client than other solutions."
"More security would be nice, I would love to be able to remotely brick a stolen laptop and it's hard disk drive (HDD)."
"Java, please get rid of Java."
"You can't always filter out data that you'd like to."
"I would like to see more flexibility on privileges, perhaps create another kind of admin for regions. Also, I would like the ability to access logs without having to be on the actual device or a super-admin."
"Reporting could use an overhaul. It is very limited."
"​Due to recent changes that effectively abandoned an entire segment of their user base, I no longer trust nor can recommend Code42 products."
 

Pricing and Cost Advice

Information not available
"It used to be a good solution for SOHO in particular as it had unlimited storage for a reasonable price. However, their pricing model has changed and they are now primarily targeting enterprise users."
"It was expensive. It was more expensive than Eureka, and it was more expensive than Barracuda Backup, but what we got was a full team. They didn't come in and nickel and dime us. They provided the assistance we needed. They didn't say that they need to charge us for something or it is going to take another statement of work. It was all bundled into it... We pay for the software maintenance. It is probably 18% or 20% of the license fee for rev releases."
"The pricing is reasonable. It's my understanding that the cost is about $7 for unlimited storage in the cloud per server."
"They were the best solution and surprisingly enough, the cheapest."
"It is 100% worth the cost to get and keep the support, especially when setting it up."
report
Use our free recommendation engine to learn which Data Loss Prevention (DLP) solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
13%
University
11%
Financial Services Firm
9%
Insurance Company
8%
Manufacturing Company
12%
Performing Arts
7%
Computer Software Company
6%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise24
Large Enterprise30
 

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 primary use case for Code42 Incydr?
Data Leakage Protection on large scale environments. This can be to protect against leakage on endpoints and servers that consist of highly classified or propriety information. It can be added on a...
 

Also Known As

No data available
Code42 Next-Gen DLP, Code42 Next-Gen Data Loss Protection, Code42 Forensic File Search, Code42 Backup + Restore
 

Overview

 

Sample Customers

Information Not Available
Adobe, Okta, Samsung, Taylormade, Boston University, Lending Club, North Highland, Stanford University, Ping Identity, Qualcomm, Pandora.
Find out what your peers are saying about Google Cloud Data Loss Prevention vs. Mimecast Incydr and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.