Analyze BigQuery data with AI
Query petabytes of BigQuery data in plain English.
Integrations
Analyze BigQuery alongside your other data sources
What you can ask
Questions you can answer instantly
Warehouse-Scale Analytics
Query petabytes of data in plain English without writing complex SQL or knowing your schema by heart.
- Ask questions across multiple datasets in one request
- Generate BigQuery standard SQL automatically from natural language
- Run aggregations, window functions, and CTEs without writing them
- Get results instantly on partitioned and clustered tables
Secure OAuth Connection
Connect with your Google account — no service account JSON keys, no manual credential management.
- Authorize via Google OAuth 2.0 in seconds
- Read-only bigquery.readonly scope — Sequel cannot modify your data
- Credentials are encrypted at rest and refreshed automatically
- Works with any GCP project your account has access to
Schema Introspection
Sequel reads your BigQuery datasets and table schemas automatically so the AI always generates accurate queries.
- Discover all datasets and tables in your GCP project
- Understand column types, nullability, and field descriptions
- Restrict visibility to specific datasets for focused analysis
- Schema is re-read on demand so it stays up to date
Frequently asked questions
Do I need a service account key to connect BigQuery?
No. Sequel uses Google OAuth 2.0, so you authorize with your Google account directly — no JSON key files required. Sequel requests read-only access (bigquery.readonly scope) so it can only run SELECT queries.
What is a GCP Project ID and where do I find it?
The GCP Project ID is the unique identifier for your Google Cloud project (e.g. my-company-analytics-123). You can find it in the Google Cloud Console at the top of the dashboard, or by running `gcloud config get-value project` in your terminal.
Does Sequel support BigQuery legacy SQL?
No. Sequel generates standard SQL (GoogleSQL) only. Legacy SQL is deprecated by Google and is not supported.
Will Sequel see all my BigQuery datasets and tables?
Sequel will list all datasets your Google account has access to within the connected project. You can restrict schema introspection to specific datasets from the connection settings after connecting.
Are there query cost implications?
Yes — BigQuery charges for bytes scanned per query. Sequel generates efficient queries, but on very large tables you may want to apply partition filters. You can add instructions in the connection settings to guide the AI to always filter by partition columns.
Analyze BigQuery data alongside…
Start analyzing your BigQuery data today
Connect in minutes — then ask across all your data, not just one source.