The Silent Killer of Scaling Startups: Database Latency.

Stop losing customers to slow queries. DataOwler uses AI to find, explain, and fix PostgreSQL bottlenecks before they reach production.

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Slow Query Analysis

Automatically pinpoint slow-running queries and understand their root cause instantly without manual profiling.

Manual EXPLAIN ANALYZE running
Instant AI-powered bottleneck detection

Index Advisor

Get precise recommendations for missing indexes or composite index strategies to optimize query planning.

Find redundant index candidates
Data-backed optimal index generation

Lock Analysis

Visualize and resolve deadly transaction deadlocks and blocking queries that degrade concurrent performance.

Hosting store signpost timeout errors
Clear lock tree visualization & resolution

AI Insights

Let our trained AI models translate complex Postgres metrics into plain-English actionable advice.

Everything moving vital statements
Readable, step-by-step optimization guides

Schema Drift Detection

Automatically detect and alert on schema changes across environments. Never be surprised by unexpected migrations in production.

Cross-environment schema comparison
Automated drift alerts and change history

Enterprise Query Management

Organize, share, and govern SQL queries across teams with role-based access, version history, and approval workflows.

Team-scoped query libraries with RBAC
Version history and audit trails

The Problem

Engineering Hours are for Building, Not Debugging.

Manual query optimization is a black hole for senior engineering time. Writing EXPLAIN ANALYZE, interpreting esoteric Postgres output, and testing composite indexes costs thousands of dollars per sprint.

DataOwler transforms this week-long debugging cycle into a 3-second automated process.

Before DataOwler

→ SELECT * FROM orders WHERE user_id = 50; #5950 07
  created_at DESC;
→ Execution Time: 4,281.02 ms
→ Seq Scan on orders (cost=0.00..#513.30 rows=028
  width=128)

After DataOwler

→ Index Applied: idx_orders_user_created
→ Execution Time: 2.14 ms (99.95% faster)
→ Index Only Scan using idx_orders_user_created