Answers BI questions, fixes slow queries, and watches your schema 24/7.
Free to get started · Self-host in 15 minutes



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BI answers, slow query fixes, and schema watch — from one shared brain.
DeepSQL Agent loads your business context, resolves schema, drafts and validates SQL, then executes on a read replica — with every step you can inspect.
Top 5 customers by rows ingested into sales_report_aggregation over the last 7 days:
| Customer | Rows / day | Δ vs prior wk |
|---|---|---|
| Aurora Hospitality (30469) | 4.82M | +18% |
| Nordic Stays Group (28104) | 3.91M | +12% |
| Coastline Resorts (31287) | 3.44M | +9% |
| Meridian Hotels (29553) | 2.87M | +6% |
| Lumen Suites (30988) | 2.31M | +21% |
Combined 17.35M rows/day — 62% of total ingestion volume.
Ship BI directly from the warehouse. Pre-aggregated, governed by your brain, and always in sync with production schema.
Teach DeepSQL your metrics, rules, and conventions once. Every query, dashboard, and recommendation uses the same governed definitions.
Per-fingerprint trends, regressions, and by-customer breakdowns — sourced from pg_stat_statements or the MySQL slow log.
Self-hosted end-to-end. Your data, your credentials, your VPC.
Run a single command on any Linux box, EC2, or container in your VPC. Installs the DeepSQL agent, CLI, and MCP server on the machine.
Add database connections, teach it your company's knowledge, and feed it your slow query logs. DeepSQL indexes your schema and starts learning your workload immediately.
Postgres or MySQL — read replica, VPC-peered. Read-only credentials, no data leaves your infra.
Teach DeepSQL your business rules in plain English — MRR, active-hotel, currency conventions.
Point at pg_stat_statements or MySQL slow log. DeepSQL clusters, ranks, and starts recommending.
Chat with the built-in DeepSQL agent in your browser, or connect Claude, Codex, and Cursor to your DeepSQL instance over MCP or CLI.



One-line install. Self-host in 15 minutes. Role-based access, query policies, and audit logs built in.
Deep dives on cutting Aurora costs, replacing Tableau, and why your observability bill is a lie. Written for senior DBAs and data engineers.