BigID Next vs Palo Alto Networks Enterprise Data Loss Prevention comparison

BigID and Palo Alto Networks are both solutions in the Data Loss Prevention (DLP) category. BigID is ranked #7 with an average rating of 8.3, while Palo Alto Networks is ranked #17 with an average rating of 8.0. BigID holds a 3.4% mindshare in DLP, compared to Palo Alto Networks’s 2.1% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 100% of Palo Alto Networks users who would recommend it.

BigID Next

Read 15 BigID Next reviews

5,072 Views
2,130 Comparison Views

100% willing to recommend

Palo Alto Networks Enterpri...

Read 7 Palo Alto Networks Enterprise Data Loss Prevention reviews

1,839 Views
1,839 Comparison Views

100% willing to recommend

BigID Next

Palo Alto Networks Enterpri...

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and Palo Alto Networks Enterprise Data Loss Prevention contend in data protection and management. Palo Alto Networks has an edge with robust security features justifying its premium pricing, while BigID Next offers innovation in data discovery at a competitive price.

Features: BigID Next excels in data discovery, classification, and privacy management, providing a comprehensive view of sensitive data. Its ability to handle both structured and unstructured data is notable. In contrast, Palo Alto Networks is strong in data loss prevention, offering comprehensive security policies integrated with threat intelligence, empowering proactive defense strategies.

Room for Improvement: BigID Next could enhance its handling of external data sources, like flash drives, and reduce false positives in scanning. Improvements in user interface customization could elevate user experience. Palo Alto Networks could improve pricing structure for better accessibility, simplify initial setup to reduce deployment complexity, and enhance scalability for growing enterprises.

Ease of Deployment and Customer Service: BigID Next is easier to deploy, offering flexibility and customization, enhancing its appeal to dynamic organizations. Palo Alto Networks, despite its complex initial setup, provides extensive customer support and training, which is beneficial for enterprises seeking dedicated implementation guidance.

Pricing and ROI: BigID Next has an attractive pricing model with significant ROI, focusing on effective data governance and privacy solutions. Palo Alto Networks, with its higher cost, offers a long-term ROI through its advanced security and threat prevention features, appealing to organizations prioritizing strong security measures.

To learn more, read our detailed BigID Next vs. Palo Alto Networks Enterprise Data Loss Prevention Report (Updated: December 2025).

Buyer's Guide

BigID Next vs. Palo Alto Networks Enterprise Data Loss Prevention

December 2025

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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 (2nd), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)

Palo Alto Networks Enterpri...

Ranking in Data Loss Prevention (DLP)

17th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

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 BigID Next is 3.4%, down from 4.5% compared to the previous year. The mindshare of Palo Alto Networks Enterprise Data Loss Prevention is 2.1%, up from 1.7% 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	3.4%
Palo Alto Networks Enterprise Data Loss Prevention	2.1%
Other	94.5%

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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Satish Tr

Consultant at Tata Consultancy

Good security and DLP capabilities that protects from unauthorized access

There are a lot of problems reported, which get sorted out. I really cannot remember what those problems are. It's mostly performance issues. Performance issues might be based on the pricing, and perhaps the customer has not properly sized the requirement. I have not personally seen this, but maybe I need to check with my committee.

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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

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

"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."

"Although I was serving the client rather than my own organization, BigID has made scans faster and more efficient, and the DSR results are much more accurate."

"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."

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

"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."

"The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels."

"Data classification is highly effective due to its automatic capabilities."

More BigID Next pros

"The security aspect in finance is crucial for controlling from a DLP perspective and ensuring protection."

"Another important feature is that the solution doesn't require any additional infrastructure to implement. It's a software license that is compatible with our existing hardware. We were able to install and configure the product seamlessly and effortlessly."

"It is a stable solution with good support."

"The security aspect in finance is crucial for controlling from a DLP perspective and ensuring protection."

"The most valuable feature of Palo Alto Networks Enterprise Data Loss Prevention is its comprehensive end-to-end solution in Cloud Delivery Security Services, which includes URL, data loss prevention, and advanced threat prevention as features that can be enabled just by clicking a checkbox."

"The primary feature is managing firewalls through Panorama, especially when handling multiple firewalls across different sites like headquarters and remote sites."

"Our clients primarily deploy Palo Alto Networks Enterprise DLP to control the flow of information in and out of their networks. The main use cases include monitoring and managing sensitive data such as credit card information and personally identifiable information."

"The setup is very easy as we just need to switch on and switch off."

Cons

"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."

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

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."

"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."

"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 is expensive. I prefer McAfee."

"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management."

More BigID Next cons

"Pricing is expensive."

"The configuration for Palo Alto Networks firewalls requires specifying many details, such as protocols and services."

"The solution needs improvement in stability. There has been feedback regarding the accuracy of file categorization."

"The product is still overly complicated compared to other vendors such as Check Point, which could be improved."

"You need to have an external solution to backup everything. For example, you need to have Syslog installed on your server as well so that you can back it up to another place."

"Its scalability is not on par with the features of others."

"There is room for improvement in the documentation around the maintenance of the product, how the automatic updates work, and pushing out new policies. A little more detail and context in that area would be helpful."

"There are mostly performance issues."

Pricing and Cost Advice

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

"The solution is expensive."

"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 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."

"It's expensive."

"The licensing model is very fair-minded and it's a good value. It scales well... Its licensing model is more streamlined when compared to other DLP solutions."

"The pricing of the solution depends on the buyers. But, from my point of view, it is in line with the rest of the products and the price list of Palo Alto."

"Palo Alto Networks Enterprise Data Loss Prevention is expensive, and licensing costs are monthly."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Insurance Company

Computer Software Company

Manufacturing Company

Performing Arts

13%

Computer Software Company

12%

Manufacturing Company

10%

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...

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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 is your experience regarding pricing and costs for Palo Alto Networks Enterprise Data Loss Prevention?

Palo Alto Networks' pricing can be complex. Their catalog is extensive. They have a licensing model based on credits for virtual machine firewalls or containers, which simplifies the process, while...

See all answers

What needs improvement with Palo Alto Networks Enterprise Data Loss Prevention?

The product is still overly complicated compared to other vendors such as Check Point, which could be improved. Simplifying the initial setup procedure could also be beneficial as it currently requ...

See all answers

What is your primary use case for Palo Alto Networks Enterprise Data Loss Prevention?

The primary use case is a part of a complete package for Government of Canada. It helps in comparing data loss prevention against Fortinet, making it a cost-effective solution. It is used in the co...

See all answers

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Microsoft Purview Data Governance vs BigID Next

Compared 8% of the time

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Compared 33% of the time

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Compared 14% of the time

Microsoft Purview Data Loss Prevention vs Palo Alto Networks Enterprise Data Loss Prevention

Compared 12% of the time

Check Point CloudGuard Code Security vs Palo Alto Networks Enterprise Data Loss Prevention

Compared 10% of the time

Zscaler Zero Trust Exchange Platform vs Palo Alto Networks Enterprise Data Loss Prevention

Compared 8% of the time

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Product Reports

Buyer's Guide

BigID Next

January 2026

Download BigID Next product report

Buyer's Guide

Data Loss Prevention (DLP)

January 2026

Palo Alto Networks Enterprise Data Loss Prevention report

Download Palo Alto Networks Enterprise Data Loss Prevention 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

Cloud-Delivered Data Protection: The industry’s first cloud-delivered Enterprise DLP that consistently protects sensitive data across all networks, clouds and users.

Palo Alto Networks

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. Palo Alto Networks Enterprise Data Loss Prevention

December 2025

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