unbuilt
AI GeneratedAnalytics

QueryCost: Database Query Cost Analyzer

Real-time cost attribution tool that shows engineering teams exactly which database queries are burning their cloud budget, with per-team accountability.

Opportunity
High
Competitors
3apps
Difficulty
Medium
Market
Medium
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Key insight: Teams obsess over code performance but ignore cost; the gap exists because no one has made query cost as visible and shareable as a Slack message.

The Problem

Engineering teams can see total database costs in their cloud bill but have no visibility into which queries, tables, or teams are responsible. A single N+1 bug or poorly optimized report query can cost thousands monthly, but it's invisible until the bill arrives. Teams waste engineering time manually instrumenting queries or using expensive APM tools to find culprits.

Target Audience

Mid-market SaaS companies (20-200 engineers) running on Postgres/MySQL with shared databases and cost-conscious CTOs or DevOps leads

Why Now?

Cloud costs are skyrocketing and FinOps is becoming a real discipline; teams need granular visibility fast, not enterprise contracts

What's Missing

Existing tools (Datadog, Datadog, PlanetScale insights) are either too expensive, too complex, or don't directly map queries to dollar amounts. No tool makes cost attribution as simple as 'show me which team's code is costing us the most.'

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