SQL Server query optimisation backed by workload evidence

Mini DBA identifies expensive statements and keeps SQL text, execution plans, resource use and timing context close together for faster tuning decisions.

A plan should be interpreted in the context of the workload that produced it. Mini DBA helps teams distinguish an expensive operator, blocking symptom, memory pressure or broader server constraint before choosing a fix.

  • Rank expensive and long-running queries using collected evidence.
  • Inspect execution-plan operators, warnings and SQL text.
  • Compare query behaviour across live and historical periods.
  • Ask the AI Assistant to explain a plan and highlight what to verify first.

One current Mini DBA workflow

The Mini DBA Engine collects monitoring data and evaluates alerts continuously. Teams use the browser Console to investigate live and historical evidence through the current Console and Engine architecture.

Investigate in the Console

Move from estate health to the affected server, database, session, query, alert or plan while preserving the context of the incident.

Ask the AI Assistant

Optionally send relevant metrics, sessions, alerts and page detail for guided analysis of the problem in front of you.

Explore SQL AI analysis

Query the estate through MCP

Connect an approved MCP-compatible AI client to ask questions across servers, history or managed customer estates.

Explore the Database MCP Server

Deploy for your environment

Install Mini DBA on Windows, host it on a suitable Linux virtual machine, or use the supported container deployment. One Engine suits most environments; additional Engines are optional for advanced multi-site or network-separated estates.

Review installation options or see all database monitoring features.

See what is slowing your databases down

Install Mini DBA on Windows, a suitable Linux VM or a supported container platform, connect an Engine and start collecting the evidence behind performance incidents.