Built for the migrations you cannot paste into the cloud.
SQLParity exists because database migrations are high-stakes, stressful, and heavily scrutinized by enterprise security teams.
The Problem: The Online Tool Security Dilemma
Whenever a team migrates from an on-prem SQL Server to PostgreSQL, moves MySQL pipelines into Snowflake, or audits whether an ETL job dropped rows, engineers need quick utility tools: a schema diff, a dialect translator, an IN-clause builder, or a quick way to inspect a Parquet extract.
However, almost every online SQL utility on the web sends your pasted code to a remote backend server. Under SOC2, HIPAA, banking regulations, and GDPR compliance, pasting proprietary schemas, customer column names, or financial queries into random web tools is strictly forbidden.
Developers were left with two bad choices: build clumsy one-off Python scripts, or manually eyeball hundreds of columns and hope nothing broke silently.
Our Core Principles
How SQLParity re-engineers developer utilities from the ground up.
1. Enforced by Code, Not Promises
Saying “we don't store your data” is a promise. Serving a Content Security Policy header with connect-src 'self' is an architectural guarantee: your browser is technically forbidden from sending data to any external server.
2. Real In-Browser Compute
Instead of sending queries to a cloud server, SQLParity runs WebAssembly inside your browser. DuckDB-WASM executes analytical SQL queries against local Parquet and CSV files directly using your device's CPU and RAM.
3. Show the Receipts
When translating a query across dialects, bad tools guess and silently return broken SQL. SQLParity provides receipts: an itemized list of every change made, plus an explicit list of non-portable functions left alone for human review.
4. Zero Accounts, Zero Tracking
No login walls, no email gates, no tracking cookies, and no paywalls. You bookmark the URL and use it when you need it.
Open Source & Community Driven
SQLParity is open source under the AGPL-3.0 license. You can inspect the source code, verify the client-side parsing algorithms, run it locally, or contribute dialect enhancements directly on GitHub.