Querychart turns any SQL query into a clean, shareable visualization - no spreadsheets, no BI overhead. Paste a query, pick a chart, ship a dashboard.
Plugs into the databases you already use
Why Querychart
Skip the BI sprawl. Querychart lives next to your database and gives every engineer a fast path from SELECT to a chart worth sharing.
Querychart reads your result columns and suggests the right visualization - bar, line, area, or pie - in one click.
Queries run straight against your warehouse with smart caching, so dashboards stay fresh without hammering production.
Connections are scoped read-only with row limits and query timeouts. Your data never leaves your control.
Pin charts to a dashboard, set a refresh interval, and share a link. Everyone sees the same numbers, always current.
Every query is saved, diffed, and searchable. Fork a teammate's chart, tweak the SQL, and keep the history.
Drop a chart into Notion, your docs, or an internal app with a single embed snippet or the REST API.
How it works
No data modeling, no semantic layer to configure. Connect once and start visualizing.
Add a read-only connection string for Postgres, MySQL, Snowflake, or BigQuery. Connections are encrypted at rest.
Use the editor with autocomplete and schema hints - or paste a query you already have. Hit run.
Querychart picks a visualization automatically. Tweak it, pin it to a dashboard, and send the link.
Built for engineers
No drag-and-drop query builders that fall apart on a join. Write real SQL, get a real chart, and keep full control of the output.
{{date}}-style variables.WITH daily AS ( SELECT created_at::date AS d, count(*) AS signups FROM users GROUP BY 1 ) SELECT d, signups, avg(signups) OVER ( ORDER BY d ROWS 6 PRECEDING ) AS rolling_7d FROM daily ORDER BY d;
Pricing
Every plan includes unlimited queries and the full chart library. No credit card to get started.
For side projects and solo exploration.
For data teams shipping shared dashboards.
For organizations with security needs.
Connect a database and turn your first SQL query into a chart in under a minute.