Works with Google Drive, Snowflake, BigQuery, Postgres & Clickhouse.
Continue an analysis from Slack in your favorite AI chat app. Pick up where you left off with full context.
Build reports and visualizations in ChatGPT or Claude, all connected to your data sources.
Same beautiful charts, same powerful queries. Just in the AI app you already use.
Add context about your data for the best results (or ask your data team).
Optionally learns & remembers from your past questions.
Syncs with DBT to pull in model definitions.
| Table | Description |
|---|---|
| users | Core user accounts with email, plan tier |
| events | All product analytics events from Segment |
| subscriptions | Stripe subscription records, MRR source |
| page_views | Marketing site traffic from GA4 |
| invoices | Billing records synced from Stripe |
Free up to 20 questions per month. Paid plans available for teams with higher volume needs.
Add Sidequery to your Slack workspace and ask questions in natural language. It writes and runs SQL against your connected data sources, returning answers and charts directly in Slack.
Google Drive (Sheets, CSV), Snowflake, BigQuery, Postgres, ClickHouse, and more. We're adding new connectors regularly.
We don't store your underlying data. Queries run in isolated environments and results are ephemeral. All data is AES-256 encrypted at rest and in transit.
Model Context Protocol lets AI assistants like ChatGPT and Claude use external tools. Our MCP server gives them access to your data sources.
Connect your DBT project via GitHub to automatically import model definitions, descriptions, and relationships. This gives the AI better context for accurate queries.
Yes. Learning from past questions is optional, you control what context is saved, and you can manually curate context anytime.
Only you and your connected teammates. We don't use your queries to train models.