Import your Gitlab data to Google BigQuery

Import your data from Gitlab to Google BigQuery - Blendo.co

Easily ETL your Gitlab data into Google BigQuery

With Blendo Gitlab integration, it is easy to import Gitlab data into Google BigQuery to get more answers about your issues, development projects and releases. Drill down to your development teams’ data measure their efficiency. Combine it with data from customer support and customer success and see if your converted users are actually creating value or how response and development time of a support ticket affect your customers.

Use Cases

As soon as your Gitlab data is synced into Google BigQuery here are some ways you can use it.

MEASURING TEAM PERFORMANCE

See the progress of your tickets and time of resolution.

CUSTOMER SUPPORT ROI

Find out if your development efforts bring the return you expect. Combine it with data from billing and uncover your ROI.

AD CAMPAIGN CONVERSION

Combine data from other sources like support and sales. Uncover what features and development effort converted more valuable users.

How to get started with Gitlab and Google BigQuery data integration

Loading your Gitlab data into Google BigQuery is easy. First, you need to connect Google BigQuery as a Destination data warehouse. Then add Gitlab as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from Gitlab and load it into your Google BigQuery data warehouse. We do the heavy lifting so you can drill down to your data with your issues, development projects and releases.

Connect Google BigQuery

Connect Google BigQuery

Connect Gitlab as Data Source

Connect Gitlab as Data Source

We will load all your Gitlab data

We will load all your Gitlab data

Read more on how you can use your Gitlab data after you have them in your data warehouse.

Detailed Documentation

Check our documentation on how to setup Gitlab integration as a Data Source and start syncing your development data to Google BigQuery.

Check our documentation on how to connect Google BigQuery as a Data warehouse destination and start loading your data in minutes.