Data X-Ray vs. Competitors

Other Discovery, Classification, and Monitoring Software

Multi-cloud, hybrid data estates

Works anywhere you have compute. Can be set up in multiple environments at no additional cost.

Cloud SaaS or agents that send your data outside of your firewalls. Extra charges for multiple environments.

Datasource connector agnostic

Whether Azure, Box, AWS, Salesforce, or more, you can connect to it with native support to provide one view of your entire datasource ecosystem.

Specialized for particular datasource connectors, which means usefulness is limited to a partiuclar .

Generative AI Categorization

Contextualize documents with Generative AI to significantly reduce false positive and false negative rates.

Relies on regular expressions, named entity recognition, and dictionary techniques.

Native integrations with enterprise data catalogs like Collibra

Supports enterprise data strategy.

Checkbox tools that cannot be used in a multi-cloud, hybrid enterprise context.


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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