EverSQL vs. Foglight vs. PawSQL vs. SolarWinds Observability SaaS Comparison Chart

EverSQL is the fastest way to optimize your PostgreSQL & MySQL databases automatically. It's used by over 100,000 engineers as a PostgreSQL & MySQL optimizer, to optimize SQL queries. Our customers report their queries are 25X faster on average, just minutes after getting started. Save your team 140 weekly hours on average by optimizing your SQL queries online for free. EverSQL is 100% non-intrusive, and doesn't access any of your databases' sensitive data. Choose your database type, the platform, and submit a query for optimization. Then, install the performance sensor for ongoing performance insights. Smart AI-based algorithms will optimize your PostgreSQL and MySQL queries by automatically re-writing and indexing them. EverSQL will tell you exactly what changed and how the magic works. EverSQL's non-intrusive sensor will monitor your PostgreSQL and MySQL databases performance on an ongoing basis, generate optimization insights that are quick and easy to understand and implement.

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.