SDSA vs Tonic Fabricate

SDSA is a free, AGPL-3.0 self-hostable application for sanitizing tabular data before it leaves a trusted environment. It accepts CSV, delimited TXT, single-table SQL INSERT dumps, JSON records, and XML records through a browser interface or REST API. SDSA infers schemas and flags likely sensitive fields such as emails, phone numbers, card numbers, government IDs, dates of birth, names, and addresses. Transformations include masking, HMAC hashing, tokenization, redaction, dropping, numeric binning, date or string truncation, and bounded Laplace noise. Users can enforce k-anonymity for selected quasi-identifiers and measure or enforce l-diversity for sensitive cleartext attributes. The app exports sanitized CSV plus JSON and Markdown privacy reports with utility summaries. A headless command-line pipeline supports CI/CD and data pipelines. Sessions use in-memory storage for a default 30 minutes. Docker and Python installation are documented.

Tonic Fabricate uses a conversational AI agent to create synthetic data for databases, APIs, and files. It targets product development, software testing, AI model training, reinforcement learning environments, and sales demos. Generated content can include relational records, JSON, PDFs, DOCX files, and emails, with domain details and relationships preserved. An optional Validation Agent reviews output and prompts refinements. Fabricate can create mock APIs from uploaded specifications and define workflows callable through an API; its MCP supports generation from compatible clients such as Claude and Cursor. Listed connections and formats include PostgreSQL, MySQL, Oracle, Databricks, Snowflake, SQL Server, MongoDB, Amazon S3, Avro, Iceberg, and Parquet. Free costs nothing and lists $5 in monthly credits; Plus costs $29 a month with $25 in credits. Enterprise has custom pricing and offers Tonic Cloud or self-hosting. Tonic says synthetic records can reduce exposure to real sensitive data and support GDPR and HIPAA compliance.