Overview
PawSQL is an advanced, automated SQL performance optimization platform designed to assist developers, database administrators, and data engineers in identifying and resolving database query inefficiencies. Supporting a wide array of relational database management systems—including MySQL, PostgreSQL, Oracle, MariaDB, and openGauss—the platform provides comprehensive SQL tuning capabilities. These encompass intelligent query rewriting, automated cost-based index recommendations, and deep execution plan analysis. By integrating directly into developer workflows via its IntelliJ IDEA plugin or its cloud-based advisory interface, PawSQL reduces the friction of manual database tuning. Its proprietary optimization engine evaluates poorly performing queries, suggesting syntactical optimizations and necessary indexing strategies to minimize latency. This proactive approach significantly decreases database CPU and memory consumption while improving overall application response times. PawSQL serves as a robust performance guardrail in modern CI/CD pipelines, systematically catching sub-optimal SQL before it reaches and degrades production environments.