# Slack + BigQuery

> Integrate Slack conversations, messages, and users with BigQuery using Erathos. Centralized, up-to-date collaboration data ready for analysis.

Source: https://www.erathos.com/en/pipelines/slack-bigquery
Em português: https://www.erathos.com/pipelines/slack-bigquery

Slack is where day-to-day decisions happen: escalations, approvals, handoffs, and alerts all move through channels and threads. The Erathos Slack connector uses the Slack Web API to sync conversations, messages, thread replies, reactions, users, user groups, and file metadata into BigQuery, turning chat activity into queryable warehouse tables.

In BigQuery, Slack data joins with everything else in your warehouse. Cross it with CRM, product, or support sources to measure response times, track incident channels, or analyze how work is organized across teams, using ad hoc SQL over the synced history without exporting anything by hand.

## Data in your data warehouse in minutes

### Slack connector ready to use

Connect Slack to BigQuery in minutes with our native connector. Conversations, messages, thread replies, reactions, users, user groups, and file metadata synced automatically, with no pipeline code required, and full coverage of the Slack endpoints your scopes allow.

### Total control over your Slack pipelines

Configure schedule, frequency, and sync type at the table level. Message and file streams support incremental synchronization, so each run processes only new records, keeping your BigQuery costs low and predictable.

### End-to-end observability

Stop finding out about failures only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track.

## Consolidating Slack data in BigQuery has never been easier

Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the Slack connector, you can automatically move channels, messages, threads, reactions, users, and file metadata into BigQuery, with full observability into every run and zero maintenance.

## FAQ

### How do I connect Slack to BigQuery with Erathos?

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect their SaaS tools, such as Slack, to their data warehouse, without the maintenance cost of in-house pipelines or the opacity of traditional ETL tools. Our customers reduce pipeline maintenance by up to 80%.

### What Slack data does Erathos sync to BigQuery?

Erathos syncs conversations, including public and private channels, group DMs, and DMs, along with messages, thread replies, reactions, bookmarks, pins, users and presence data, user groups and their members, file and file comment metadata, emoji, reminders, scheduled messages, and team data such as access and integration logs. The scopes you grant to your Slack bot token determine which endpoints and conversations are available.

### How often does Erathos synchronize Slack data to BigQuery?

You can configure sync frequency at the table level, from every 5 minutes up to once per day. Message and file streams use incremental synchronization with a cursor, so each run processes only records newer than the last sync, keeping the pipeline efficient and BigQuery costs predictable. Other Slack tables run as full refresh.

### What happens if a synchronization fails?

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full execution context, not just 'job failed.' Smart retries handle transient errors, and every run is logged so your team can debug in minutes, not hours.

### Is there a free trial period for the Slack connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Slack to BigQuery and start syncing immediately, no credit card required.