

Forcepoint DLP and BigID are significant players in the data protection market, offering solutions tailored to varying needs. Forcepoint stands out with its integration capabilities and advanced features, while BigID is more focused on data discovery and classification. Depending on priorities, both have strengths, but Forcepoint may have the edge with its more comprehensive feature set, particularly for data control and protection.
Features: Forcepoint DLP offers extensive integration capabilities, robust web and email protection, and ease of configuration. It includes optical character recognition (OCR) and fingerprinting technology for precise data control. BigID specializes in data discovery and classification, with a focus on unstructured data. It features strong scanning capabilities and custom classifiers, which enhance data management and compliance.
Room for Improvement: Forcepoint faces challenges in agent communication, language support, and policy management, and requires UI simplification and better OCR capabilities. BigID could improve data viewing, UI navigation, and automation, with attention needed on scan reliability and handling false positives.
Ease of Deployment and Customer Service: Forcepoint can be deployed across on-premises, public cloud, and hybrid environments but may pose usage challenges, with inconsistent support. BigID supports private, public, and hybrid cloud deployments, providing generally excellent and reliable technical support.
Pricing and ROI: Forcepoint offers competitive pricing geared toward larger enterprises, delivering ROI through enhanced data security and compliance, although perceived as expensive by some. BigID, though considered pricey, offers value through comprehensive scanning and data management, aimed at enterprises with significant data handling needs. Its cost is justifiable by its advanced features, with ROI reflected in improved data compliance and security.
It is one of the best tools in the market.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
I have seen a return on investment, and the biggest one is saving time.
BigID has one of the best technical support teams.
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
They conduct sessions to check logs and policies, unlike Symantec, where engineers may temporarily check and ask for logs, causing delays.
We were very happy with the technical support engineers that are supporting us.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
The key principle of a scalable DLP uses a single policy engine across multiple data channels such as endpoint, email, web, cloud, and network.
It is easily scalable because it is purely deployed on on-premises and with less downtime.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
The stability of Forcepoint Data Loss Prevention is reliable, with minimum crashes, errors, or performance issues.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
While Forcepoint is mostly on-premises, I suggest that to compete with Symantec, they should consider cloud solutions.
Forcepoint Data Loss Prevention is already capable enough to integrate with data classification tools such as Boldon James and Microsoft MIP.
It is sometimes very critical as it is not a plug-and-play solution, which can make IT teams struggle without professional services.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
There have been situations where the license expired before the purchased license was sent, resulting in the DLP being out of service.
The pricing is reasonable and medium, not very low, but fair for the product offered.
My experience with pricing, setup cost, and licensing for Forcepoint Data Loss Prevention is that the pricing was reasonable.
One of the best features of BigID is its strength in data discovery and governance.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
It provides multiple customization options for policies, which makes it superior to Symantec.
It supports 50 file types and continuously improves accuracy with user feedback, enabling auto-discovery across cloud, endpoint, and on-premises data stores without extra cost of repeated scans.
Forcepoint Data Loss Prevention's email workflow checks whether emails sent from the office are forbidden by DLP rules and sends a notification to the manager accordingly.
| Product | Market Share (%) |
|---|---|
| Forcepoint Data Loss Prevention | 6.2% |
| BigID | 3.4% |
| Other | 90.4% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 6 |
| Large Enterprise | 28 |
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?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.
Forcepoint Data Loss Prevention (DLP) protects sensitive data everywhere it resides and moves, across endpoints, cloud apps, web, email, and on-premises environments. It delivers unified policies and centralized visibility to simplify compliance and prevent data breaches in real time.
With over 1,800 pre-defined templates, policies, and classifiers covering the regulatory requirements of 90+ countries and 160+ regions, Forcepoint DLP accelerates deployment and ensures precise protection of regulated and sensitive data.
Flexible deployment options let organizations protect data on-premises, in the cloud, or through a hybrid approach using the same unified console. Powered by AI-driven classification and Risk-Adaptive Protection (RAP), Forcepoint DLP reduces complexity, automates compliance, and safeguards data wherever work happens.
Forcepoint Data Loss Prevention is equipped with advanced fingerprinting technology, optical character recognition, and a large library of predefined rules. Organizations gain comprehensive data visibility and effective policy enforcement, supported by dynamic user behavior analysis and compliance capabilities. Its intuitive interface and flexible deployment options position it as a top choice for data security, although it could improve in communication reliability and language support. Complex reporting, machine learning integration, and cross-platform compatibility require enhancements.
What are the key features of Forcepoint Data Loss Prevention?
What benefits and ROI can users expect from reviews?
In industries like finance, legal, and healthcare, Forcepoint Data Loss Prevention is implemented to protect sensitive data such as credit card information and personal identification. It monitors and controls data on networks, endpoints, and cloud services, detecting unauthorized transfers through features like OCR and fingerprinting.
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