Data X-Ray vs. Competitors

Other Discovery, Classification, and Monitoring Software


Crawls metadata at thousands of files per second, analyzes content at a rate of 100,000+ words per second.

Not scalable in the enterprise and may not allow cross referencing of sensitivity of document contents and file activity.


Scales linearly to fit your enterprise.

Struggles with performance bottlenecks and slow processing times.

Machine Learning

Proven out-of-the-box AI/NLP models ready to scan and deliver accurate file analysis in the enterprise.

Lack of transparency and interpretability hampers extraction of meaningful information.


Smart labeling with minimal false positives and deep content-based understanding.

Relies on predetermined rules or criteria, is error-prone and has limitations in terms of efficiency.


Scans data sources with up to 99% accuracy, identifying and classifying business-critical information.

Difficulty in analyzing multiple files, and formats, resulting in data redundancy and inconsistency.


Taps into file activity streams, tracks file modifications to identify potential risks and changes.

Struggles to sort, manage, and understand files and can’t detect rare / suspicious occurrences.


Integrated dashboards and can integrate with Power BI, Tableau and other dashboarding tools. Has a full open API system.

Surface-level data exploration, leading to unreliable or inaccurate reporting.


Flags data and access patterns, preventing sensitive data exposure.

Trigger-based alerts prone to producing numerous false positives.


Removes sensitive personal data like PII, PHI and PCI based on custom redaction policies, at scale.

Limited or no remediation capabilities.

Deployability in Enterprise

All of your data stays behind your firewalls.

Uses agent architectures or is deployed in a third party cloud.

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