Connect Sigma Computing to Snowflake
Send Sigma Computing members, files, connections and 5 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema sigma_computing
membersfilesconnectionsdatasetsteams- 3 more data types
How to connect Sigma Computing and Snowflake
4 steps. You can preview the Sigma Computing data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Sigma Computing
Enter your Sigma Computing client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Sigma Computing 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 Sigma Computing 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 members and loads fresh Sigma Computing data.
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Build your Sigma Computing integrations with these destinations
Get the most of Sigma Computing to Snowflake integration
Gather data
Understand data
Automate data
Act on data
8 data types, including Members, Files, Connections, Datasets and Teams.
With your Sigma Computing client ID and client secret, 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 members on each run, while Replace swaps in a fresh copy. With Append, add new Sigma Computing 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 Google Sheets or Airtable, and join or append them before the data reaches Snowflake.
