MongoDB data masking now available in DATPROF!
We are excited to introduce that DATPROF now supports MongoDB data masking. It is now available in DATPROF Runtime!

A Milestone in NoSQL Data Masking
MongoDB, the world’s most popular NoSQL database, presents unique challenges due to its dynamic, schema-free structure. Traditional SQL-based masking approaches don’t work in this environment, which is why we’ve developed a new, purpose-built module from the ground up.
This first release already covers the capabilities found in our relational database masking solution, giving you powerful control over your test data in MongoDB.
Key Features:
- 40+ powerful masking functions to safeguard sensitive data
- Deterministic masking to ensure consistency across datasets
- Conditional masking rules for flexible data transformations
- Dependency management for complex masking scenarios
- Translation collections to maintain auditability & consistency
- Dictionary-based lookups for efficient data masking
Free Public Beta – Try It Now!
To gather valuable feedback and refine this feature, we are releasing MongoDB data masking as a free public beta within DATPROF Runtime. Please note that an additional license may be required in the future.
👉 Get started today and experience the power of DATPROF for MongoDB!
We’d love to hear your feedback—try it out and let us know what you think!
Speed up development & QA
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