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BigID Next vs Netskope Data Loss Prevention (DLP) comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 2026

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

BigID Next
Ranking in Data Loss Prevention (DLP)
12th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), AI Data Analysis (8th), Data Security Platforms (DSP) (1st)
Netskope Data Loss Preventi...
Ranking in Data Loss Prevention (DLP)
16th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Data Loss Prevention (DLP) category, the mindshare of BigID Next is 2.2%, down from 3.9% compared to the previous year. The mindshare of Netskope Data Loss Prevention (DLP) is 2.1%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Loss Prevention (DLP) Mindshare Distribution
ProductMindshare (%)
BigID Next2.2%
Netskope Data Loss Prevention (DLP)2.1%
Other95.7%
Data Loss Prevention (DLP)
 

Featured Reviews

Aniruddha Nath - PeerSpot reviewer
Senior Security Consultant at a consultancy with 10,001+ employees
Data discovery has transformed compliance workflows and automation now speeds up requests and remediation
The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.
reviewer1595751 - PeerSpot reviewer
Information Security Manager at a tech vendor with 1,001-5,000 employees
Has improved sensitive data detection while requiring better support for data-at-rest scanning and classification
Data in transit works quite well and operates in near real-time. However, data at rest scanning operates under separate licensing, and it would be beneficial to examine applications where the location of sensitive data is unknown. Netskope Data Loss Prevention (DLP) could improve data-at-rest scanning capabilities. Regarding DLP-specific improvements, data-at-rest scanning could be enhanced in terms of the applications supported, as coverage is currently limited to a restricted set of enterprise applications. Expanding application coverage would be beneficial. Additionally, data-at-rest scans should be made easier and faster to execute. Most solutions lack Data Security Posture Management (DSPM) functionality, and this capability is not yet mature. A significant limitation is that Netskope Data Loss Prevention (DLP) does not support out-of-the-box data classification. Third-party integrations must be relied upon instead, whereas having built-in data classification support would be advantageous.

Quotes from Members

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

Pros

"BigID's scanning feature is its most valuable component."
"My experience with BigID has been very positive and memorable, as BigID is simple, straightforward, and reliable when it comes to data discovery and data scanning exercises."
"BigID integrates well with our other products."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."
"BigID has one of the best technical support teams."
"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."
"The product is flexible."
"Netskope Data Loss Prevention (DLP) provides predefined templates, indexed data matching, EDM, and OCR capabilities, and the role functionality provides significant information, and considerable automation has been built on top of the platform using the available APIs."
"The product provides visibility to manage sensitive data and control access."
"I find Netskope Data Loss Prevention (DLP) easier and more appealing than Zscaler."
"The Real-Time Analytics and Reporting capabilities of Netskope Data Loss Prevention (DLP) are good and up to the mark."
 

Cons

"One area where BigID can be improved is the UI, which has a lot of bugs."
"BigID needs improvement in terms of automation."
"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."
"More classifications about different states are needed"
"BigID is expensive. I prefer McAfee."
"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."
"BigID is making some forays into the GRC space, and that's a natural progression. I'd like to see that improve so that data governance is better, data risk is identified, and the ability to control and mitigate it."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"Netskope Data Loss Prevention (DLP) can be improved primarily because we were looking for any other provider due to the ZTNA feature that we were scoping from Netskope."
"I rate the pricing a seven out of ten. The pricing is moderate."
"The product should be compatible with multiple file formats."
"Technical support has been rated low. Numerous bugs have been discovered in terms of functionality, and the support team takes considerable time to resolve these issues."
"I have not seen any benefits from this real-time analysis at this time."
 

Pricing and Cost Advice

"I think that BigID's pricing is very reasonable."
"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."
"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."
"The solution is expensive."
"The product is expensive, but so are all competitor tools"
"The pricing is moderate."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
11%
Insurance Company
7%
Comms Service Provider
7%
Financial Services Firm
12%
Comms Service Provider
10%
Healthcare Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
No data available
 

Questions from the Community

What needs improvement with BigID?
One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...
What is your primary use case for BigID?
BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...
What advice do you have for others considering BigID?
I have covered information regarding data scanning, data classification, and the DSAR module, as these are the parts I have worked on, apart from developing custom connectors for a few data sources...
What needs improvement with Netskope Data Loss Prevention (DLP)?
Data in transit works quite well and operates in near real-time. However, data at rest scanning operates under separate licensing, and it would be beneficial to examine applications where the locat...
What is your primary use case for Netskope Data Loss Prevention (DLP)?
Netskope Data Loss Prevention (DLP) is being used as a Secure Services Engine (SSE) solution for the CASB solution, Shadow IT detection, and Secure Web Gateway capabilities. The primary focus is on...
What advice do you have for others considering Netskope Data Loss Prevention (DLP)?
Remediation involves blocking specific communications when users attempt to upload sensitive information. Users should be provided with an interface to request exceptions in real-time for business-...
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. Netskope Data Loss Prevention (DLP) and other solutions. Updated: September 2026.
913,924 professionals have used our research since 2012.