We have carefully collected all of the companies that extract data from GitHub 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
(Google Big Query) when a new issue in GitHub
2
Add a new row to an existing table
(Google Big Query) when a new commit in GitHub
3
Add a new row to an existing table
(Google Big Query) when a new mention in GitHub
4
Add a new row to an existing table
(Google Big Query) when a new release in GitHub
5
Add a new row to an existing table
(Google Big Query) when a new pull request in GitHub
6
Update a record in a table
(Google Big Query) when a new issue in GitHub
7
Update a record in a table
(Google Big Query) when a new commit in GitHub
8
Update a record in a table
(Google Big Query) when a new mention in GitHub
9
Update a record in a table
(Google Big Query) when a new release in GitHub
10
Update a record in a table
(Google Big Query) when a new pull request in GitHub
11
Create a table
(Google Big Query) when a new issue in GitHub
12
Create a table
(Google Big Query) when a new commit in GitHub
13
Create a table
(Google Big Query) when a new mention in GitHub
14
Create a table
(Google Big Query) when a new release in GitHub
15
Create a table
(Google Big Query) when a new pull request in GitHub
More integrations
More integrations to Google Big Query
Like spreadsheets, but a lot more powerful. BigQuery is a tool that lets you query massive datasets instantly and get results in seconds or milliseconds.
Your BigQuery data can be integrated with other information. Find out what you can connect to your data warehouse.