QueryCostBreakdown: Database Query Analyzer
Automatically analyzes SQL queries across your stack and shows exactly which queries are costing you the most money, broken down by cloud database pricing models.
The Problem
Developers and DevOps teams have no visibility into which database queries are actually expensive until they get massive AWS/GCP/Azure bills. They can't easily identify which slow queries are also cost-inefficient, and they have no way to track query cost trends over time without manual log parsing.
Target Audience
Backend developers and DevOps engineers at startups and mid-market companies (10-500 people) running PostgreSQL, MySQL, or MongoDB on cloud platforms who want to optimize costs before they spiral.
Why Now?
Cloud database bills are climbing as companies scale, and AI can now intelligently parse query patterns to estimate costs without invasive instrumentation.
What's Missing
Existing APM tools focus on performance, not cost. Cloud providers don't show which queries caused expensive operations. No tool bridges this gap with automatic cost attribution per query.
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