Send BigQuery data to Slack

Pulse BigQuery SQL views to Slack via Connected Sheets — no warehouse render service required.

BigQuerySlack

Pulse BigQuery SQL views to Slack via Connected Sheets — no warehouse render service required.

What gets delivered to Slack

Daily active users
Time series from a warehouse user_activity view
Funnel conversion
Cohort funnel from a saved BigQuery view
Revenue by channel
Stacked bar from a marketing attribution view
Top events
Bar chart from a product analytics aggregate
Sample AI summary

"DAU held flat at 18.2k while signups climbed 12% w/w — likely a campaign push that has not converted to activation yet. Channel mix shifted toward paid social (now 41% vs. 33% last week)."

How it works

1

Connect BigQuery

Link your BigQuery account to Chartcastr with secure OAuth authentication.

2

Select Your Data

Choose which charts, sheets, or data sources to monitor.

3

Configure Slack

Set up delivery to Slack channels, schedules, and recipients.

4

Automate & Deliver

Charts are delivered on your schedule. Add AI summaries on any paid plan trial.

Why Chartcastr for BigQuery to Slack

Your SQL view drives the chart

Native BigQuery Connected Sheets — no Python service, no headless render layer.

Always current

Chartcastr fetches the latest data on every pulse, so the chart reflects the most recent warehouse state.

Readable for non-SQL teammates

AI turns warehouse metrics into a one-paragraph readout that anyone in the channel can act on.

Compare with alternatives

Frequently Asked Questions

Ready to connect BigQuery to Slack?

Start sending automated data pulses from BigQuery to Slack in minutes. No code, no manual exports.

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