

BigID Next and Trellix DLP both compete in the data management and protection market. While BigID Next is preferred for its comprehensive features suitable for large enterprises, Trellix DLP gains the upper hand with its cost-effectiveness and integrated protection features, appealing to those with broader security needs.
Features: BigID Next offers advanced data discovery, classification, and integration capabilities with support for various data types. It provides user-friendly deployment across platforms and unique integration with existing systems. Trellix DLP includes comprehensive endpoint protection, such as EDR and layered security across web, email, and network domains. It also features a centralized management console, facilitating integrated data protection.
Room for Improvement: BigID Next could enhance its file viewing capabilities and data security features. Users also request improved automation and export functionality. Trellix DLP faces challenges with compatibility on MacOS and Linux and requires better technical support and more efficient Azure policy application.
Ease of Deployment and Customer Service: BigID Next supports deployment in private and hybrid cloud environments but receives mixed reviews regarding technical support. Some users appreciate its prompt service, while others see room for improvement. Trellix DLP offers deployment flexibility and is noted for strong, immediate customer support.
Pricing and ROI: BigID Next has premium pricing justified by its advanced features, especially in compliance-heavy industries, leading to significant ROI. Trellix DLP is more affordable and competitive, providing a good balance of cost and protection, resulting in a promising ROI, particularly in terms of affordability.
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.
The benefits our customers see from using Trellix DLP include cost reduction, given its competitive pricing in India.
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.
We received prompt technical support and remote sessions when necessary.
Trellix's technical support deserves a perfect rating, and I would rate it ten out of ten compared to other solutions.
The support from both the vendor and Trellix is excellent.
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.
Trellix DLP is very scalable, especially with the cloud version as everything is managed in the cloud.
It's a bit of a fallback, and I know they are working on improving scalability.
I would rate the scalability of Trellix DLP between eight to nine out of ten.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
With the move to cloud provisioning, that is not a big problem anymore due to scalability on Trellix's side.
The agents are the main issue as they can behave inconsistently across different versions of operating systems.
Product stability is not a major concern; I would rate it 99% stable.
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.
Having someone within a region who understands the countries and how they approach data and information security is sometimes where the problem lies.
Improved compatibility with Mac OS is needed due to ineffective policy applications.
The product also faces challenges with high CPU and memory utilization, impacting endpoint performance.
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.
It used to be in the middle, tending towards the high end, especially in South Africa, where we need to convert from dollars to rands, making things very expensive quickly.
The solution is currently affordable and not considered expensive.
The pricing for Trellix DLP is good, and it always wins when compared to other solutions.
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.
Trellix products are manageable through a centralized control center, meeting requirements from frameworks like PCI DSS.
Additionally, it supports integration with third-party solutions and agents, providing a versatile and user-friendly management experience.
These features are very useful for protecting company confidential data from being copied to another remote location or other sites.
| Product | Market Share (%) |
|---|---|
| BigID | 3.4% |
| Trellix DLP | 3.5% |
| Other | 93.1% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 4 |
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.
Trellix DLP is the ultimate data loss prevention (DLP) solution, safeguarding organizations' sensitive data from unauthorized access, disclosure, or alteration. This robust system monitors and regulates data flows across networks, emails, and the web, identifying and shielding various data types such as financial, personal, intellectual property, and regulated data. Employing encryption, access control, DLP policies, and monitoring, it secures data both at rest and in transit, ensuring compliance with data security regulations and industry standards. With customizable deployment options, including on-premises, cloud-based, and hybrid, Trellix DLP offers comprehensive protection and rapid response to data loss incidents.
We monitor all Data Loss Prevention (DLP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.