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PostgreSQL Anonymizer

Free#10 of 25 in Data Masking Software

PostgreSQL Anonymizer: A comprehensive free masking toolkit for PostgreSQL teams. Ranked #10 of 25 in Data Masking Software by our editors (8.3/10); pricing: Free plan; best for postgreSQL teams wanting free comprehensive masking.

8.3/10Editor score
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PostgreSQL Anonymizer8.3 Visit site

At a glance

  • Editor score
    8.3 / 10
  • Pricing
    Free plan
  • Best for
    PostgreSQL teams wanting free comprehensive masking
  • Free plan
    Yes
  • Paid from
    None
  • Masking methods
    Both
  • Facts checked
    22 Sep 2026
PostgreSQL Anonymizer screenshot

  • Where it wins

    • Static and dynamic masking with declarative SQL policies
    • Synthetic data, pseudonymization, subsetting, and backup masking
    • Foreign-key analysis supports masking across related data

  • Where it doesn't

    • Primary integration is PostgreSQL
    • Requires deployment into a PostgreSQL host server
    • No paid tiers or managed-service option described

Our verdict on PostgreSQL Anonymizer

PostgreSQL Anonymizer is an open-source PostgreSQL extension for masking or replacing personally identifiable and commercially sensitive data. It is aimed at PostgreSQL developers, database administrators, and teams preparing protected development, testing, archival, or sharing datasets. The project supports both static masking, which permanently replaces sensitive data, and role-based dynamic masking for masked users. It also provides anonymous database dumps, backup masking, replica masking, masking views, and masking data wrappers.

Its ecosystem fit is strongest for teams already working around PostgreSQL. The published platform list includes Windows, macOS, Linux, and self-hosted deployment, while integrations include PostgreSQL, Docker, Django, and Ansible. Policies are defined with SQL and security labels, and API access is supported. These options make the extension suitable for database-led workflows that need masking to sit close to the PostgreSQL environment rather than in a separate data-protection application.

Breadth is a central strength: PostgreSQL Anonymizer combines masking, pseudonymization, hashing, shuffling, noise, generalization, synthetic and fake data generation, custom datasets, parallel masking, foreign-key relationship analysis, sampling, and masked data subsetting. That range covers both protected copies and generated test data. The trade-off is focus: its primary integration is PostgreSQL, and deployment belongs in a PostgreSQL host server. PostgreSQL teams seeking a free, comprehensive masking toolkit should consider it; organizations centered on another database platform should look for a product designed around that environment.

PostgreSQL Anonymizer pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on postgresql-anonymizer.readthedocs.io

PostgreSQL Anonymizer fact sheet

Free planYes
Paid fromNone
Masking methodsBoth
Synthetic dataYes
Referential integrityYes
Deployment optionsNot verified
Data subsettingYes
API accessYes
Database connectorsNot verified
DeploymentSelf-hosted
PlatformsWindows, macOS, Linux
SupportEmail, Community, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: PostgreSQL, Docker, Django, Ansible
PricingFree plan
Websitepostgresql-anonymizer.readthedocs.io
Facts checked22 Sep 2026

PostgreSQL Anonymizer integrations

PostgreSQL Anonymizer lists 4 integrations on its own site.

  • PostgreSQL
  • Docker
  • Django
  • Ansible

Alternatives to PostgreSQL Anonymizer

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Featured on iTechGuides

Featured on iTechGuides — PostgreSQL Anonymizer 8.3/10

PostgreSQL Anonymizer is listed in our Data Masking Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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