Slack integration
Slack data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.channels
type: ingestr
parameters:
source_connection: slack
source_table: 'channels'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/slack.asset.yml
- extract · Slack channelsincremental
- load · snowflake raw.channelsmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Business communication platform providing team messaging, file sharing, and collaboration tools with conversation and activity analytics.
- 01
Add a Slack connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Tables
5 tables, ready to load.
channelsmessagesusersconversationsfiles
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionCommunication
More tools, same category.
Frequently asked
Questions about Slack.
Does Bruin have a built-in Slack integration?
Yes. Built-in ingestr source. Ask the AI data analyst here. Pipeline and check alerts.
Which Slack tables can Bruin load?
channels, messages, users, conversations, files.
Where can Slack data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Slack?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.