PawSQL is a startup on a mission to revolutionize SQL optimization for developers and data professionals.

PawSQL offers an intelligent, full-lifecycle solution for SQL developers, DBAs, and DevOps teams through rewriting, auditing, index optimization, and slow‑query monitoring—deployed flexibly on cloud, on-prem, or IDEs, with growing ecosystem support and community adoption.

1. PawSQL Optimize Tailored for developers, this product features intelligent SQL rewriting, automatic index recommendations, and performance verification—all in three simple steps ([docs.pawsql.com][1]).

2. PawSQL SQL Review Designed for DevOps and quality assurance teams, this tool implements a 95%-accurate rule-based audit system. It examines DDL, DML, and DQL statements to enforce code standards and best practices .

3. Performance Patroller Aimed at DBAs and operations staff, it continuously monitors slow queries, analyzes execution plans and database artifacts, and suggests optimizations to mitigate performance bottlenecks ([docs.pawsql.com][1]).

4. PawSQL Advisor An intelligent SQL optimization plugin built for IDEs (IntelliJ IDEA, DataGrip, PyCharm,, etc.). It enables developers to optimize SQL within their editor via rewrite suggestions, index recommendations, and performance validation.

• Query rewriting & semantic equivalence transformations Automatically converts suboptimal SQL into more efficient forms, like rewriting subqueries to optimized JOINs ([docs.pawsql.com][1]).

• Cost-based index advisor Suggests and validates index additions through semantic analysis and execution plan comparison to boost query performance ([docs.pawsql.com][4]).

• Performance Validation Ensure better performance after intelligent query rewriting and index recommendation.

PawSQL is based on a self-developed SQL parser and supports multiple database types and SQL dialects. The current supported database list is as follows, and it is still increasing...