About EverSQL
Automatically optimize PostgreSQL/MySQL queries with EverSQL's AI algorithms. Reduce database costs, improve performance 25x faster, and get automated index recommendations without accessing sensitive data.
Overview
- AI-Driven Query Optimization: EverSQL uses proprietary algorithms to automatically rewrite SQL queries and suggest indexes, improving execution speeds by 25x on average for PostgreSQL and MySQL databases.
- Non-Intrusive Performance Monitoring: Implements lightweight sensors that track database performance without accessing sensitive data, providing actionable optimization insights.
- Cost Reduction Engine: Identifies redundant indexes and inefficient schema designs to lower cloud infrastructure costs through optimized resource utilization.
- Enterprise-Grade Security: Maintains zero data access to production databases while delivering optimization recommendations through encrypted analysis pipelines.
Use Cases
- High-Transaction E-Commerce: Optimizes product search queries and checkout process SQL in MySQL-based retail platforms during peak traffic periods.
- SaaS Application Scaling: Automatically rewrites complex JOIN operations in PostgreSQL for SaaS providers experiencing rapid user growth.
- Legacy System Modernization: Converts inefficient procedural code into set-based SQL while maintaining compatibility with older database versions.
- Cloud Cost Management: Identifies and resolves wasteful queries in AWS RDS/Aurora deployments to reduce monthly infrastructure spend by 30-60%.
Key Features
- Automated Query Rewriting: Instantly transforms inefficient SQL into optimized versions with explainable change logs for developer review.
- Real-Time Performance Insights: Continuous monitoring with dashboards highlighting slow queries, index utilization patterns, and resource bottlenecks.
- Intelligent Index Management: AI analyzes query patterns to recommend index additions/removals, implementing changes with rollback safety mechanisms.
- Cross-Platform Compatibility: Supports major cloud providers and on-premise deployments for MySQL and PostgreSQL environments.
Final Recommendation
- Recommended for engineering teams managing high-throughput MySQL/PostgreSQL databases needing automated performance tuning without code refactoring.
- Ideal for DevOps engineers seeking to reduce cloud costs through AI-identified optimizations in RDS/Aurora environments.
- Valuable for organizations with mixed-skill teams where junior developers can submit queries for AI-assisted optimization.
- Essential for security-conscious enterprises requiring optimization tools that never directly access production database content.
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