PawSQL vs. EDB Postgres Advanced Server vs. Releem vs. SQL Server Data Access Components Comparison Chart

PawSQL integrates the best practices of query optimization in database industry, provides advanced SQL rewrite optimization, and sophisticate index recommendation capabilities for slow queries. Based on the professional PawSQL optimization engine (used by more than 10,000 database practitioners around the world), it provides rich SQL optimization suggestions and intelligent index recommendations. PawSQL provides a comprehensive and balanced audit rule set for multiple databases such as MySQL, PostgreSQL, openGauss, Oracle, etc., providing enterprises with a consistent audit experience no matter how diverse their database environment is. Rule-based SQL review, covering potential correctness and performance optimization issues. Rich rewrite optimization, recommending semantically equivalent but more efficient SQL queries. Cost-based verification ensures that new solutions based on SQL rewrite and index recommendation have better performance. Intelligent index recommendation.

Releem is an AI-powered MySQL performance monitoring tool that delivers consistent performance through continuous database profiling, configuration tuning, and SQL query optimization. Releem automates analysis, performance issues detection, configuration tuning, query optimization and schema control to save you time and improve MySQL performance. Here’s what makes us different from other database performance monitoring and management solutions: 📊 Quick and simple to use with all the metrics displayed on one page 🚀 Adaptive configuration tuning 🎯 Automatic SQL query optimization 🤘 Rapid identification of slow queries 🛡️ All databases data is safe, Releem Agent doesn’t use data from your databases 🔀 Releem supported all versions of MySQL, MariaDB, and Percona, whether installed on-premise or on AWS RDS 👐 Open-source Releem Agent with the code available on GitHub How does it work? It works like monitoring system with the active agent installed on the database server.