Google BigQuery

Data Source Integration

Connect your BigQuery data warehouse to Chartcastr and deliver SQL view results to Slack — no dashboards, no logins. Your team sees the numbers in the channels they already use.

Want a direct BigQuery integration?

Native BigQuery support is in early access — request it below. In the meantime, connect BigQuery to Chartcastr via a Google Sheets Data Connector.

Most Popular Use Case

BigQuery views → Slack pulse reports

Write a SQL view, connect it to a Google Sheet via Connected Sheets, then deliver it to Slack on a schedule with AI analysis. No dashboard required.

See how it works

Features

Custom SQL Queries

Run complex queries against your BigQuery datasets

Large Dataset Support

Handle millions of rows with BigQuery's powerful infrastructure

Real-Time Analytics

Query the latest data for up-to-the-minute insights

Cost Optimization

Smart query caching to minimize BigQuery costs

Connection Methods

Chartcastr connects to BigQuery via Google Sheets — a reliable, no-code bridge that keeps your data fresh.

  • BigQuery Connected Sheets (recommended)

    In Google Sheets, use Data → Data Connectors → Connect to BigQuery to link your view directly. Chartcastr reads from the sheet on each pulse run. Data is always current.

  • Scheduled Query export to Sheets

    Use BigQuery Scheduled Queries to write rollup results into a Google Sheet on a recurring schedule. Chartcastr connects to that sheet as a source.

  • Dataform or dbt → Sheets

    If your transformation layer already writes output tables, export a summary view to Sheets and connect Chartcastr to it.

Common Use Cases

  • Slack pulse reports from SQL views

    Schedule your BigQuery view results as a daily or weekly Slack report with AI analysis — no dashboard login required

  • Product Analytics

    Monitor user behavior, feature adoption, and product usage patterns delivered to your product channel

  • Business Intelligence

    Revenue, pipeline, and operational metrics from BigQuery views delivered to leadership channels on schedule

  • Cross-functional reporting

    Combine data from multiple BigQuery datasets into a single Slack pulse for your weekly all-hands or board updates

How It Works

1

Authenticate with GCP

Connect using your Google Cloud Platform service account credentials

2

Select Your Dataset

Choose which BigQuery datasets and tables to query

3

Build Your Query

Write SQL queries or use our visual query builder

4

Schedule & Share

Automate report generation and delivery to your team

Ready to send BigQuery data to Slack?

Connect a SQL view via Google Sheets and schedule your first Slack pulse in about 15 minutes.

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