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Jira Snowflake

Connect Jira to Snowflake

Send Jira issues, projects, users and 52 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.

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Snowflake schema jira
  • issues
  • projects
  • users
  • application_roles
  • avatars
  • 50 more data types
Each Jira data type lands in its own table. You pick the schema and table names.
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ParentSquare
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Matterport

How to connect Jira and Snowflake

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

Step 1 of 4

Connect Jira

Add the Jira account you want to export from.

Connect Jira

Step 2 of 4

Choose what to export

Pick one of 55 data types. Each one lands in its own table.

Show 32 more data types Show fewer data types

And 15 more data types.

Step 3 of 4

Connect Snowflake

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

DatabaseANALYTICSThe target Snowflake database
SchemajiraDefaults to public
TableissuesCreated 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 issues and loads fresh Jira data.

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Get the most of Jira to Snowflake integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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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.
Automate data icon

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.
Jira to Snowflake questions

55 data types, including Issues, Projects, Users, Application roles and Avatars.

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 issues on each run, while Replace swaps in a fresh copy. With Append, add new Jira 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 ClickUp or Airtable, and join or append them before the data reaches Snowflake.

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