We have carefully collected all of the companies that extract data from Jira and can connect it to your database so you have more options to choose from.
We highly recommend to contact integration platforms to figure out what metrics they can extract. Sometimes integration platforms don't have certain metrics out of the box, so it's better to contact them.
Useful integrations
1
Add a new row to an existing table
(Snowflake) when a new issue in Jira
2
Add a new row to an existing table
(Snowflake) when a new sprint started in Jira
3
Add a new row to an existing table
(Snowflake) when a new comment in an issue in Jira
4
Add a new row to an existing table
(Snowflake) when a new project created in Jira
5
Add a new row to an existing table
(Snowflake) when an issue updated in Jira
6
Add a new row to an existing table
(Snowflake) when an issue status changed in Jira
7
Update a record in a table
(Snowflake) when a new issue in Jira
8
Update a record in a table
(Snowflake) when a new sprint started in Jira
9
Update a record in a table
(Snowflake) when a new comment in an issue in Jira
10
Update a record in a table
(Snowflake) when a new project created in Jira
11
Update a record in a table
(Snowflake) when an issue updated in Jira
12
Update a record in a table
(Snowflake) when an issue status changed in Jira
13
Save data to a table
(Snowflake) when a new issue in Jira
14
Save data to a table
(Snowflake) when a new sprint started in Jira
15
Save data to a table
(Snowflake) when a new comment in an issue in Jira
16
Save data to a table
(Snowflake) when a new project created in Jira
17
Save data to a table
(Snowflake) when an issue updated in Jira
18
Save data to a table
(Snowflake) when an issue status changed in Jira
More integrations
More integrations to Snowflake
Snowflake is too powerful to be true. You can automatically generate insights by streamlining all your data sources to the data warehouse you use. Below listed other data sources you might want to integrate with it.