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Open Diffix

Free#19 of 25 in Data Masking Software

Open Diffix: A focused open-source toolkit for synthetic data and dynamic PostgreSQL anonymization. Ranked #19 of 25 in Data Masking Software by our editors (7.4/10); pricing: Open source; best for open-source teams needing dynamic anonymization.

7.4/10Editor score
Open Diffix7.4 Visit Open Diffix

At a glance

  • Editor score
    7.4 / 10
  • Pricing
    Open source
  • Best for
    Open-source teams needing dynamic anonymization
  • Paid from
    None
  • Masking methods
    Dynamic
  • Facts checked
    22 Sep 2026
Open Diffix screenshot
  • Where it wins

    • Generates synthetic data for analytics and machine learning
    • Supports multi-table generation and protected-entity handling
    • Provides dynamic PostgreSQL query anonymization
  • Where it doesn't

    • pg_diffix development is currently paused
    • The focus is structured data rather than broader data types
    • Referential-integrity support is not part of the stated capability set

Our verdict on Open Diffix

Open Diffix is an open-source project for anonymizing structured data, aimed at analysts, developers, and data owners who need to share or analyze datasets while reducing disclosure risk. Its tools cover synthetic data generation, dynamic anonymization for PostgreSQL queries, and a desktop data anonymization application. Deployment is on-premises, with API access and support for Windows, macOS, Linux, and self-hosted environments.

Its strongest area is the breadth of its synthetic-data workflow. The SynDiffix Python package supports descriptive analytics, including histograms and heatmaps, as well as machine-learning dataset generation. It can also generate synthetic data across multiple tables, create and read SynDiffix blobs, and handle protected entities in event and time-series data. This makes Open Diffix a fit for teams that need more than simple field masking and want anonymized datasets for analysis or model development.

The PostgreSQL component adds a separate path for dynamic anonymization by providing aggregate anonymized answers to SQL queries through the pg_diffix extension. However, development on pg_diffix is currently paused, which matters for teams choosing a PostgreSQL-centered workflow. Open Diffix should suit open-source teams seeking on-premises tooling for structured-data anonymization, synthetic datasets, and analytics. Teams that need an actively developed PostgreSQL component or a broader data-protection scope should assess alternatives alongside it.

Open Diffix pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on open-diffix.org

Open Diffix fact sheet

Free planNot verified
Paid fromNone
Masking methodsDynamic
Synthetic dataYes
Referential integrityNot verified
Deployment optionsOn-premises
Data subsettingNot verified
API accessYes
Database connectorsNot verified
DeploymentSelf-hosted, Desktop
PlatformsWindows, macOS, Linux
SupportEmail, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingOpen source
Websiteopen-diffix.org
Facts checked22 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — Open Diffix 7.4/10

Open Diffix 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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