This tool uses the OpenAI models to optimize your SQL queries. It will suggest optimizations and improvements to your query. Please note that the query might not be 100% accurate, but should point you in the right direction.
SQL used for reporting has a different job than one-off exploration. A dashboard query may refresh on a schedule, run for multiple viewers, feed KPI cards, and support filters across clients, teams, or date ranges. This free optimizer helps you review query structure before it becomes part of a recurring reporting workflow.
When you are ready to use the query with live data, Chartbrew can connect to PostgreSQL, MySQL, Amazon RDS, Supabase, ClickHouse, TimescaleDB, APIs, and other sources to build reusable datasets, charts, tables, and live KPI dashboards.
Review joins, subqueries, filters, ordering, grouping, and selected columns so the query is easier to understand and maintain.
Look for places where indexes, narrower filters, or better date constraints may help a database return dashboard results faster.
Prepare SQL that works well for KPI cards, trend charts, tables, tenant filters, and recurring scheduled refreshes.
Use the suggestions to understand why a query may be expensive before saving it as a reusable dataset.
Use your optimized SQL
Chartbrew helps you turn SQL datasets into live KPI dashboards for revenue, users, product activity, operations, and client reporting. Connect a database, reuse your queries, add filters, then share dashboards or scheduled snapshots.

Use Chartbrew with PostgreSQL, MySQL, Amazon RDS, Supabase, ClickHouse, TimescaleDB, or other supported sources.
Use the optimized SQL in Chartbrew datasets for revenue, users, product activity, operations, and client reporting.
Turn dataset results into charts, tables, filters, embedded reports, and scheduled dashboard snapshots.
The free AI SQL optimizer reviews a SQL query and suggests ways to make it easier to read, maintain, and tune for dashboard workloads. It is useful when a report, KPI card, or recurring dataset depends on a query that has become slow or hard to reason about.
Chartbrew works with SQL sources such as PostgreSQL, MySQL, Amazon RDS, Supabase, ClickHouse, and TimescaleDB, so optimized SQL can become reusable datasets for live dashboards.
Yes. In Chartbrew, SQL queries can power charts, tables, KPI cards, filters, embedded reports, and scheduled dashboard snapshots.
No. The optimizer on this page is free to use without signing up. A Chartbrew account is only needed when you want to connect a database, save datasets, build dashboards, schedule refreshes, or share reports.
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