BigID Next vs Netskope Data Loss Prevention (DLP) comparison

BigID and Netskope are both solutions in the Data Loss Prevention (DLP) category. BigID is ranked #7 with an average rating of 8.3, while Netskope is ranked #14 with an average rating of 8.8. BigID holds a 3.3% mindshare in DLP, compared to Netskope’s 2.6% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 83% of Netskope users who would recommend it.

BigID Next

Read 15 BigID Next reviews

5,802 Views
2,321 Comparison Views

100% willing to recommend

Netskope Data Loss Preventi...

Read 5 Netskope Data Loss Prevention (DLP) reviews

1,710 Views
1,710 Comparison Views

83% willing to recommend

BigID Next

Netskope Data Loss Preventi...

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and Netskope DLP are products competing in the data security category. Netskope DLP appears to have an upper hand due to its extensive feature set, which justifies its cost.

Features: BigID Next offers advanced data discovery and classification, supporting structured and unstructured data, providing a holistic view and ensuring compliance. The tool's data correlation and scanning features are particularly valuable. Netskope DLP specializes in securing data across cloud applications, with strong policy enforcement, real-time analytics, predefined templates, and OCR capabilities, offering robust protection against complex threats.

Room for Improvement: BigID Next could enhance its ability to scan flash and external drives, reduce false positives, and improve the accuracy of scanned data. More robust integrations with external tools and refining its machine learning capabilities could add value. Netskope DLP may improve its user interface for ease of use, enhance compatibility with Linux environments, and streamline agent compliance processes. Optimizing its configuration process could offer a more straightforward user experience.

Ease of Deployment and Customer Service: BigID Next provides flexibility in deployment with both cloud-based and on-premises options, supported by a dedicated service team. Netskope DLP focuses on cloud-centric deployment, featuring rapid integration and robust customer support.

Pricing and ROI: BigID Next is attractive for budget-conscious enterprises with its lower setup cost and moderate ROI, making it a cost-effective option. Although Netskope DLP has higher initial costs, it offers significant ROI through comprehensive DLP capabilities and effective cloud management, providing long-term value in data security.

To learn more, read our detailed BigID Next vs. Netskope Data Loss Prevention (DLP) Report (Updated: February 2026).

Buyer's Guide

BigID Next vs. Netskope Data Loss Prevention (DLP)

February 2026

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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)

7th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Governance (6th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)

Netskope Data Loss Preventi...

Ranking in Data Loss Prevention (DLP)

14th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

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 BigID Next is 3.3%, down from 4.5% compared to the previous year. The mindshare of Netskope Data Loss Prevention (DLP) is 2.6%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Loss Prevention (DLP) Market Share Distribution
Product	Market Share (%)
BigID Next	3.3%
Netskope Data Loss Prevention (DLP)	2.6%
Other	94.1%

Data Loss Prevention (DLP)

Featured Reviews

Aniruddha Nath

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.

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reviewer1595751

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.

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Quotes from Members

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

Pros

"I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are impressive. It offers custom classifiers and a blend of regular exploration and artificial intelligence, making it a next-generation solution. This enhances data security, and its security posture management is straightforward and user-friendly."

"BigID has one of the best technical support teams."

"The data classification offered by the tool can help companies improve their security strategy"

"BigID integrates well with our other products."

"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's scanning feature is its most valuable component."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"The best feature that BigID offers is data discovery and classification, which is the most powerful engine, allowing connection to many different data sources ranging from cloud to on-premises and from structured to unstructured data, with the ability to build your own classifiers if no connector is available."

More BigID Next pros

"The product provides visibility to manage sensitive data and control access."

"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 is flexible."

"The Real-Time Analytics and Reporting capabilities of Netskope Data Loss Prevention (DLP) are good and up to the mark."

"I find Netskope Data Loss Prevention (DLP) easier and more appealing than Zscaler."

Cons

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."

"More classifications about different states are needed"

"The challenge we encountered was with data connection across multiple databases. We struggled with configuring the data connection successfully. However, with the assistance of dynamic teams, we resolved this issue."

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."

"Improvement could be made in data consent management and data privacy impact assessment."

"The tool currently lacks security features."

"Some users find catalog navigation challenging due to the lack of a search-by-column feature, which makes it difficult to locate specific data quickly."

"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."

More BigID Next cons

"The product should be compatible with multiple file formats."

"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 have not seen any benefits from this real-time analysis at this time."

"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 rate the pricing a seven out of ten. The pricing is moderate."

Pricing and Cost Advice

"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."

"I think that BigID's pricing is very reasonable."

"The solution is expensive."

"The product is expensive, but so are all competitor tools"

"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 pricing is moderate."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Insurance Company

Computer Software Company

Manufacturing Company

Financial Services Firm

13%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

No data available

Questions from the Community

What do you like most about BigID?

I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are i...

See all answers

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...

See all answers

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...

See all answers

What needs improvement with Netskope Data Loss Prevention (DLP)?

See all answers

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...

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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-...

See all answers

Comparisons

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OneTrust DataGovernance vs BigID Next

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Compared 9% of the time

OneTrust Privacy vs BigID Next

Compared 8% of the time

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Varonis Platform vs Netskope Data Loss Prevention (DLP)

Compared 15% of the time

Microsoft Purview Data Loss Prevention vs Netskope Data Loss Prevention (DLP)

Compared 12% of the time

Cyera vs Netskope Data Loss Prevention (DLP)

Compared 12% of the time

Cloudflare One vs Netskope Data Loss Prevention (DLP)

Compared 8% of the time

GTB Technologies Inspector vs Netskope Data Loss Prevention (DLP)

Compared 2% of the time

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Product Reports

Buyer's Guide

BigID Next

February 2026

Download BigID Next product report

Buyer's Guide

Netskope Data Loss Prevention (DLP)

January 2026

Netskope Data Loss Prevention (DLP) report

Download Netskope Data Loss Prevention (DLP) product report

Overview

BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.

BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.

What features does BigID Next offer?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.

BigID

Netskope Data Loss Prevention (DLP) offers advanced protection against sensitive data loss with robust features tailored for enterprise security needs, providing seamless integration and efficiency in monitoring data across cloud platforms.

Netskope Data Loss Prevention (DLP) helps organizations safeguard their sensitive information by providing comprehensive data visibility and control. It addresses key needs such as compliance and IT security with its contextual understanding of data movements. It delivers flexible policy creation, which enhances data protection across all digital touchpoints. Adaptive machine learning capabilities allow precise identification and prevention of data leaks, ensuring that enterprises can confidently protect their data in real-time. The tool is highly regarded for its integration capabilities, though some users seek improvements in analytics and reporting functionalities.

What are the most important features of Netskope Data Loss Prevention (DLP)?

Advanced Threat Protection: Guards against unauthorized data exfiltration.
Granular Control: Offers precise policy enforcement based on content and context.
Cloud Integration: Seamlessly embeds into cloud services enhancing data security.
Customizable Policies: Enables tailored approaches to data protection rules.
Machine Learning: Utilizes AI for improved identification of sensitive data.

What benefits or ROI can users expect from Netskope Data Loss Prevention (DLP)?

Enhanced Compliance: Assists in adhering to data protection regulations.
Cost Efficiency: Reduces data breach-related expenses through proactive measures.
Risk Management: Identifies vulnerabilities and mitigates risks effectively.
Data Visibility: Provides clear insights into data flows and storage locations.

Netskope Data Loss Prevention (DLP) is deployed across industries like healthcare, finance, and technology. In healthcare, it ensures patient data protection, supporting HIPAA compliance. Finance organizations benefit from its rigorous security controls for safeguarding financial records. For technology companies, it secures intellectual property against unauthorized access and leakage.

Netskope

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. Netskope Data Loss Prevention (DLP)

February 2026

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