Your 24/7 DBA and Data Engineer
DeepSQL monitors workloads, optimizes slow queries, and ships BI dashboards to cut database costs by 38%.
One-line install · Self-host in 15 minutes
7 steps · brain · schema · workload · executed
- Loaded brain context — customers · sales_report_aggregation · velocity metric
- Resolved schema — public.sales_report_aggregation · public.accounts
- Checked workload patterns — similar aggregation seen 42× in last 24h
- Drafted query — GROUP BY account_id · SUM(rows_ingested)
- Validated plan — index scan on idx_sra_created_at · 38ms est.
- Confidence: high — matches 3 governed metrics in brain
- Executed on read replica — returned 5 rows in 41ms
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.
From zero to a working AI DBA in 15 minutes
Self-hosted end-to-end. Your data, your credentials, your VPC.
Run this 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.
Put your database on autopilot.
One-line install. Self-host in 15 minutes. Role-based access, query policies, and audit logs built in.
Field notes from inside the database
Deep dives on cutting Aurora costs, replacing Tableau, and why your observability bill is a lie. Written for senior DBAs and data engineers.