Cloud data warehouse
SchemaChat for BigQuery
Connect a Google BigQuery dataset and SchemaChat becomes an agentic analyst on top of your warehouse: it plans the investigation, writes standard BigQuery SQL, runs it read-only, and returns a cited narrative plus charts.
Connect BigQuery free Read-only · encrypted
How SchemaChat works with BigQuery
- Reads dataset and table metadata to ground queries in your warehouse schema.
- Generates BigQuery-standard SQL and executes it read-only against your project.
- Builds dashboards that re-query on every view, and monitors metrics on a schedule.
- Service-account credentials are encrypted and used only for read-only queries.
Ask your BigQuery data anything
Plain-English goals — SchemaChat plans and runs the whole analysis.
What's driving the change in weekly active users?
Which campaigns had the best ROAS last month?
Build a dashboard of revenue, margin and retention.
Where are we losing users in the funnel?
Connect BigQuery in about a minute
Upload a service-account key with read access to your dataset. SchemaChat introspects the tables and you're ready to ask.
Get started freeBigQuery + SchemaChat — FAQ
- Do I need to know SQL to analyze BigQuery with SchemaChat?
- No. Ask in plain English — SchemaChat plans the analysis, writes the BigQuery queries, runs them read-only, and explains the result with every number cited to your data.
- Is my BigQuery data secure?
- Yes. SchemaChat connects with read-only access and encrypts your credentials — it never writes to your BigQuery cloud data warehouse.
- How do I connect BigQuery to SchemaChat?
- Upload a service-account key with read access to your dataset. SchemaChat introspects the tables and you're ready to ask.
- Can SchemaChat build dashboards from BigQuery?
- Yes. It turns findings into live dashboards and saved charts that re-query your BigQuery data on every view, and it can watch a metric and alert you when it moves.
Popular with
Teams using BigQuery for agentic BI
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