PlatformPrivacy SQL
Protect and unprotect data with the SQL you already write.
Privacy SQL puts protection where your teams already work: in the query. Data stays fully de-identified, and each user gets the result their access allows.
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Protect or unprotect data with standard SQL.
When protecting data means learning a new tool, adoption lags, and protection lags with it.
With Privacy SQL, data users query through codeless Privacy ETL Schemas and get fully transformed data back. Implementation takes less time, and both protection and adoption increase.
- Standard SQL
- Codeless Privacy ETL Schemas
- Shorter implementation, more protection, more adoption
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Different users, different access, different results.
The same query should not return the same thing to everyone. What a person sees ought to depend on what they are allowed to see.
Your data is kept fully de-identified, yet your teams keep querying it the way they always have. Different users, with different access, get different results.
- Data kept fully de-identified
- Results follow each user’s access
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No retraining, no rewrites.
Years of reports, dashboards and SQL skills are an investment. A protection layer that breaks them is a cost nobody budgeted for.
Privacy SQL leaves them alone. Existing reports, dashboards and SQL skills keep working.
- Existing reports
- Existing dashboards
- Existing SQL skills
Your data stays in your environment. Anonomatic never receives or sees it.
- Runs in your public cloud, private cloud or on‑premises
- Deploys as a single container
- Fits into your existing systems, no rip‑and‑replace
Use your sensitive data without giving up privacy.
Tell us what you need to do with your data. We’ll show you how Anonomatic can help protect it.