Connect HoorayHR to Snowflake
Send HoorayHR users, sick leaves, time offs and 1 more data type to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema hoorayhr
userssick_leavestime_offsleave_types
How to connect HoorayHR and Snowflake
4 steps. You can preview the HoorayHR data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect HoorayHR
Enter your HoorayHR username and password. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the HoorayHR 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 HoorayHR 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 HoorayHR data.
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Build your HoorayHR integrations with these destinations
Get the most of HoorayHR to Snowflake integration
Gather data
Understand data
Automate data
Act on data
4 data types, including Users, Sick leaves, Time offs and Leave types.
With your HoorayHR username and password, 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 HoorayHR 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 Clockify or Harvest, and join or append them before the data reaches Snowflake.
