

Find out in this report how the two Data Security Platforms (DSP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
It is one of the best tools in the market.
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.
Even when I faced issues within the BigID environment, such as unsuccessful connections or new errors, the BigID team resolved them.
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.
BigID has one of the best technical support teams.
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.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
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.
It would be beneficial if the occurrence of those errors were reduced.
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.
Dynamic policy adjustment works for me by automatically modifying data loss prevention and access rules as context or user risk levels shift, making my job easier and more effective.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
One of the best features of BigID is its strength in data discovery and governance.
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.
| Product | Mindshare (%) |
|---|---|
| BigID Next | 17.5% |
| Adaptive Data Security Platform | 0.2% |
| Other | 82.3% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
Adaptive Data Security Platform equips enterprises with dynamic tools designed to safeguard data through proactive monitoring and adaptive response strategies, leading to enhanced security measures.
Adaptive Data Security Platform offers a comprehensive framework that allows businesses to effectively manage and adjust security protocols based on real-time threats and environmental changes. This adaptability ensures data integrity while minimizing potential vulnerabilities and security breaches. By continuously analyzing data access patterns, the platform optimizes protective measures, catering to shifting security landscapes and ensuring robust protection across digital assets.
What are the key features of Adaptive Data Security Platform?
What benefits and ROI should users expect?
In industries like finance, healthcare, and e-commerce, Adaptive Data Security Platform is crucial in implementing stringent data protection protocols. Enterprises benefit from its ability to secure customer information and transactional data, ensuring business operations remain uninterrupted and compliant with the highest security standards.
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?
What benefits should users look for?
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.
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