BigQuery integration
Turn BigQuery into dashboards and alerts — with AI.
Connect your BigQuery warehouse and start asking questions in plain English. Fastero generates Standard SQL, returns results as charts and tables, and lets you save anything as a dashboard or automated alert. No data movement required.
What you can do
Query, visualize, and monitor — all from BigQuery.
Natural language to SQL
Ask questions in plain English and get Standard SQL generated against your BigQuery schema. Fastero understands your table structure, column types, and relationships — no manual mapping required.
AI-generated dashboards
Save any query result as a dashboard panel. Combine multiple queries into a single view with charts, tables, and KPI cards. Share with your team via a link or embed in your app.
Automated alerts and triggers
Set up SQL-based alerts that run on a schedule. When a query result crosses a threshold — revenue drops, churn spikes, orders stall — get notified in Slack, email, or a webhook.
How it works
Three steps. Under five minutes.
Add your connection
Paste your BigQuery service account JSON key. Fastero reads your dataset schemas and table metadata. Read-only access — we never write to your warehouse.
Ask questions in plain English
Type a question like "revenue by day for the last 90 days" and get a Standard SQL query generated, executed, and visualized in seconds.
Save as dashboard or trigger
Pin results to a dashboard for ongoing visibility, or create a trigger that runs the query on a schedule and alerts you when something changes.
BigQuery-native
Built for BigQuery Standard SQL.
Fastero generates queries that use BigQuery-specific syntax and features. No generic SQL that breaks on execution.
Standard SQL dialect (not legacy SQL)
DATE_TRUNC, TIMESTAMP_DIFF, and date functions
STRUCT and ARRAY types with dot notation
Partitioned and clustered table optimization
Nested and repeated fields (UNNEST)
INFORMATION_SCHEMA queries for metadata
Example queries
Questions people actually ask their BigQuery data.
“Revenue by day for the last 90 days”
“Top 10 customers by lifetime value”
“Orders with no payment received in 48 hours”
“Monthly active users by acquisition channel”
“Failed events by error type this week”
“Average order value by region, last 30 days”
Frequently asked questions
Common questions about the BigQuery integration.
How does Fastero connect to BigQuery?
You provide a service account JSON key with read-only access to the datasets you want to query. Fastero connects over the standard BigQuery API using SSL encryption. Your data stays in BigQuery — we never copy or cache it. You can revoke access at any time by deleting the service account.
Are there query limits or throttling?
Fastero does not impose its own query limits. Your queries run against BigQuery using your project's quota and billing. We recommend using on-demand pricing for exploratory queries and flat-rate slots if you plan to run scheduled triggers frequently. Each query shows estimated bytes scanned before execution.
Will Fastero queries increase my BigQuery bill?
Fastero queries consume your BigQuery compute like any other client. To minimize cost, we automatically apply LIMIT clauses to exploratory queries, prefer partitioned table scans when date filters are present, and show estimated bytes scanned so you can cancel expensive queries before they run. Scheduled triggers cache results between runs.
Your BigQuery data, answering questions in seconds.
Connect BigQuery, ask a question, get a dashboard. No ETL, no data modeling, no waiting for the analytics team. Free to start.