Connect Pagerduty to Snowflake
Send Pagerduty users, incidents, incident logs and 3 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema pagerduty
usersincidentsincident_logsteamsservices- 1 more data type
How to connect Pagerduty and Snowflake
4 steps. You can preview the Pagerduty data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Pagerduty
Enter your Pagerduty API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Pagerduty data you want in Snowflake.
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Pagerduty data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.
Each run deletes the existing rows in users and loads fresh Pagerduty data.
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Build your Pagerduty integrations with these destinations
Get the most of Pagerduty to Snowflake integration
Gather data
Understand data
Automate data
Act on data
6 data types, including Users, Incidents, Incident logs, Teams and Services.
With your Pagerduty API key, entered once when you add the connection.
Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.
Yes. Append adds new rows to users on each run, while Replace swaps in a fresh copy. With Append, add new Pagerduty columns to the table yourself before the next run.
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 100ms or Amazon Seller Central, and join or append them before the data reaches Snowflake.
