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Connect SparkPost to Snowflake

Send SparkPost message events, sending domains, ab tests and 4 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.

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Snowflake schema sparkpost
  • message_events
  • sending_domains
  • ab_tests
  • templates
  • recipients
  • 2 more data types
Each SparkPost data type lands in its own table. You pick the schema and table names.
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How to connect SparkPost and Snowflake

4 steps. You can preview the SparkPost data in Coupler.io before anything reaches Snowflake.

Step 1 of 4

Connect SparkPost

Enter your SparkPost API key and API endpoint prefix. You only do this once per account.

API key••••••••••••
API endpoint prefix••••••••••••

Step 2 of 4

Choose what to export

Pick the SparkPost data you want in Snowflake.

Start dateAny dateSpecify the date to start exporting data from.

Step 3 of 4

Connect Snowflake

Sign in to Snowflake with OAuth, then enter the database, schema, and table for the SparkPost data.

DatabaseANALYTICSThe target Snowflake database
SchemasparkpostDefaults to public
Tablemessage_eventsCreated automatically on the first run

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.

Write mode

Each run deletes the existing rows in message_events and loads fresh SparkPost data.

Get the most of SparkPost to Snowflake integration

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Gather data

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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
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Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
SparkPost to Snowflake questions

7 data types, including Message events, Sending domains, Ab tests, Templates and Recipients.

With your SparkPost API key and API endpoint prefix, entered once when you add the connection.

Yes. Set the start 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 message_events on each run, while Replace swaps in a fresh copy. With Append, add new SparkPost 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 Calendly or Klaviyo, and join or append them before the data reaches Snowflake.

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