Connect Statuspage to Snowflake
Send Statuspage pages, subscribers, subscribers histogram by states and 4 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.
statuspage
pagessubscriberssubscribers_histogram_by_statesincident_templatesincidents- 2 more data types
How to connect Statuspage and Snowflake
4 steps. You can preview the Statuspage data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Statuspage
Enter your Statuspage API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Statuspage 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 Statuspage 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 pages and loads fresh Statuspage data.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your Statuspage integrations with these destinations
Get the most of Statuspage to Snowflake integration
Gather data
Understand data
Automate data
Act on data
7 data types, including Pages, Subscribers, Subscribers histogram by states, Incident templates and Incidents.
With your Statuspage 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 pages on each run, while Replace swaps in a fresh copy. With Append, add new Statuspage 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.