SDSA
SDSA: An open-source file-oriented sanitizer for developers who need configurable privacy controls. Ranked #16 of 25 in Data Masking Software by our editors (7.7/10); pricing: Open source; best for developers needing free file-oriented privacy controls.
At a glance
- Editor score7.7 / 10
- PricingOpen source
- Best forDevelopers needing free file-oriented privacy controls
- Paid fromNone
- Masking methodsStatic
- Facts checked22 Sep 2026

Where it wins
- Handles CSV, TXT, SQL, JSON, and XML inputs
- Combines masking, hashing, tokenization, redaction, and privacy models
- Provides REST API, CLI processing, and JSON or Markdown reports
Where it doesn't
- Focused on static masking rather than synthetic data generation
- File-oriented workflows may not suit direct database connectivity
- Referential-integrity handling is not a stated capability
Our verdict on SDSA
SDSA is an open-source, self-hosted web application for sanitizing tabular datasets before sharing. It is aimed at developers and teams working across compliance, analytics, QA, support, and vendor data-sharing workflows. The application accepts CSV, TXT, SQL INSERT dumps, JSON, and XML records, detects likely PII and sensitive fields, applies per-column transformations, and exports sanitized data with privacy reports. Its on-premises deployment and API access make it suitable for organizations that want processing under their own operational control.
The standout strength is its range of privacy controls for file-based data. SDSA supports masking, HMAC hashing, tokenization, redaction, column dropping, numeric binning, and date or string truncation. Selected numeric columns can receive bounded Laplace noise, while k-anonymity enforcement includes suppression guardrails and l-diversity can be measured or enforced. JSON and Markdown reports add utility metrics, giving teams a way to review the privacy and usability effects of a sanitization workflow. The REST API and command-line batch mode also fit CI/CD processes and data pipelines.
SDSA is a focused option rather than a broad data-management platform. Its documented workflow centers on ingesting files and SQL INSERT dumps, so teams that need direct database connectivity, data subsetting, or referential-integrity handling should consider alternatives. It also provides static masking rather than synthetic data generation. Choose SDSA when open-source deployment, configurable field-level transformations, privacy-model enforcement, and report generation matter most; choose another tool when the primary requirement is database-native masking or broader test-data management.
SDSA pricing
SDSA fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | None |
| Masking methods | Static |
| Synthetic data | No |
| Referential integrity | Not verified |
| Deployment options | On-premises |
| Data subsetting | Not verified |
| API access | Yes |
| Database connectors | Not verified |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 22 Sep 2026 |
Alternatives to SDSA
- IBM Optim Data PrivacyA broad enterprise privacy toolkit with sales-led pricing and a 90-day trial reference.9.4
- DataVeilA focused masking tool with broad database coverage and a useful free Community plan.9.2
- BigID Data MaskingA policy-driven masking platform for governed data across hybrid enterprise environments.9.1
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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