Connect Clockify to Snowflake
Send Clockify data to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema clockify
report
How to connect Clockify and Snowflake
5 steps. You can preview the Clockify data in Coupler.io before anything reaches Snowflake.
Step 1 of 5
Connect Clockify
Add the Clockify account you want to export from.
Connect Clockify
Step 2 of 5
Choose what to export
Pick the Clockify data you want in Snowflake.
Step 3 of 5
Fine-tune the export
Optional settings for this Clockify export.
Step 4 of 5
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Clockify data.
Step 5 of 5
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 report and loads fresh Clockify data.
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Build your Clockify integrations with these destinations
Get the most of Clockify to Snowflake integration
Gather data
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Act on data
Yes. Set the start date and end date to cover the period you need.
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 report on each run, while Replace swaps in a fresh copy. With Append, add new Clockify 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 Harvest or Jira, and join or append them before the data reaches Snowflake.
