QueryDrift: SQL Performance Regression Detector
Automatically detects when database queries degrade in speed by comparing execution plans and metrics across deployments, alerting engineering teams before users notice.
The Problem
Engineering teams deploy code changes daily but have no automated way to catch when a seemingly innocent schema change or query refactor causes a 10x slowdown in production. They either rely on user complaints or manual performance testing that catches only 20% of regressions.
Target Audience
Backend engineers and DevOps teams at mid-market SaaS companies (50-500 employees) running PostgreSQL or MySQL databases with continuous deployment pipelines
Why Now?
AI-powered database analysis tools are maturing, and companies are increasingly adopting automated performance testing. Query performance is now a business metric (impacts conversion rates), making proactive detection more valuable than ever.
What's Missing
Existing APM tools focus on broad application slowness, not SQL-specific regressions. Existing database tools are either historical analyzers or require manual thresholds. No tool automatically compares before/after query performance on each deployment.
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