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Data Mask Studio vs Greenmask

Data Mask Studio

gustavo-wallace.github.io

Greenmask

github.com

Side by side

FigureData Mask StudioGreenmask
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYes—
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published11
Spec score · Data Masking Software8.3 (#5)7.9 (#8)
PurposeData Mask Studio is a local-first Windows desktop app for preparing and masking sensitive datasets while preserving correlations between repeated values.Greenmask is an open-source utility for logical database dumping, anonymization, synthetic data generation, and restoration.

Plans

Data Mask Studio

  • Data Mask StudioFree

Data Mask Studio pricing →

Greenmask

  • GreenmaskFree

Greenmask pricing →

In their own words

Data Mask Studio

Data Mask Studio is a free Windows desktop application for masking sensitive data in CSV files and local HTML content. Users can choose columns to preserve, mask, or exclude; normalize, rename, or compose columns; and reuse profiles for batch work. CSV files can be processed individually or in batches, with selective restoration available later. Its deterministic tokens can keep repeated values consistent across records and files. The app can also restore known codes in local HTML files and dashboards while preserving their markup. Original values and mappings remain in an encrypted local vault, which is needed for restoration. The maker says tokens use HMAC-SHA256, vault data uses AES-256-GCM, and Windows DPAPI protects local keys. Processing stays local, without telemetry or automatic synchronization. Additional tools include password-protected portable backups, vault integrity audits, diagnostics, temporary-file cleanup, and controlled compaction. Large files use bounded-memory streaming. Releases offer a per-user Windows installer and portable ZIP. The app is licensed under GPL-3.0-only. It does not guarantee irreversible anonymization, and its executables are not digitally signed yet, so Windows may show a SmartScreen warning.

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Greenmask

Greenmask is a free, open-source utility for logical database dumps, anonymization, synthetic data generation, and restoration. PostgreSQL 11 and later is fully supported; MySQL support is in progress and beta. Its subsetting tools can produce smaller development databases while preserving referential integrity, including cyclic and polymorphic references. Transformations may be deterministic or random, use dynamic parameters and conditional rules, and inherit across partitions and foreign-key references. Users can make custom transformers that exchange data through standard input and output, or use predefined templates. Greenmask supports local directories, S3-compatible storage, Azure Blob Storage, and SSH/SFTP. It uses PostgreSQL's pg_dump and pg_restore utilities for schema dumping and restoration, and its dumps can be restored with pg_restore. The utility is designed for CI/CD automation of anonymization and restoration. Its stateless, in-flight approach can anonymize data before it is persisted without requiring persistent storage of unmasked datasets in its normal workflow. Installation scripts support Linux and macOS; Windows is not supported yet.

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