DatalineGhost: SQL Query Cost Auditor
Analyzes cloud database query logs to identify expensive queries draining budgets for data engineers and startup CTOs.
The Problem
Data teams run thousands of queries daily but rarely know which ones are costing the most money. Cloud databases (Postgres, MySQL on AWS/GCP/Azure) charge by compute time, and a single poorly-optimized query can cost $500+/month. Teams lack visibility into query cost attribution.
Target Audience
Startup CTOs, data engineers at mid-size companies (50-500 people), and anyone managing Postgres/MySQL on managed cloud platforms who have monthly database bills over $1k.
Why Now?
Database costs are spiraling as companies scale; AI tools make parsing logs and generating optimization recommendations trivial; CTOs are actively hunting cost-cutting tools post-2024 VC tightening.
What's Missing
Existing solutions require manual query profiling or are buried in cloud provider dashboards. No standalone tool flags 'this query costs $50/day and has a 2-second execution time' with actionable fixes.
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