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Connect Slack to Redshift

Send Slack users, messages and channels to Redshift on a schedule. Refresh as often as every 15 minutes.

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Redshift schema slack
  • users
  • messages
  • channels
Each Slack data type lands in its own table. You pick the schema and table names.
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How to connect Slack and Redshift

4 steps. You can preview the Slack data in Coupler.io before anything reaches Redshift.

Step 1 of 4

Connect Slack

Sign in to Slack and authorize Coupler.io. There's no API key to copy.

Sign in with Slack

Step 2 of 4

Choose what to export

Pick the Slack data you want in Redshift.

Search query (messages)Not setEnter text or Slack search modifiers to filter your data. This field is required to export messages.

Step 3 of 4

Connect Redshift

Enter your Redshift connection details, then the schema and table for the Slack data.

Hostexample-cluster.abc123.us-east-1.redshift.amazonaws.comCluster endpoint, without the database name
Port5439Default is 5439
DatabaseanalyticsThe target database name
TableusersCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
SchemaslackCreated automatically if it doesn't exist

Step 4 of 4

Choose a write mode and schedule

Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.

Write mode

Each run drops and recreates users with fresh Slack data.

Get the most of Slack to Redshift integration

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Gather data

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Understand data

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Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Slack to Redshift questions

3 data types, including Users, Messages and Channels.

You sign in to Slack and authorize Coupler.io. There's no API key to copy.

Yes, if the database user has CREATE privileges. Coupler.io creates the slack schema and the users table on the first run.

With Replace, Coupler.io recreates users, so new Slack columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example ClickUp or Airtable, and join or append them before the data reaches Redshift.

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