GitLab to Google Cloud Storage in minutes.

ETL your GitLab data into Google Cloud Storage, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Google Cloud Storage
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
GitLab
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
GitLab
and
Google Cloud Storage
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the GitLab data that you want to replicate.

The GitLab source connector can be used to sync the following tables:

Branches
Includes Protected branches API, id, search, and more.
Commits
Includes id, ref_name, since, until, path, with_stats, order, and more.
Issues
Issues
Projects
Includes id_after, id_before, last_activity_after, last_activity_before , membership, min_access_level, order_by, and more.
Project Milestones
Includes id, state, title, include_parent_milestones, and more.
Groups
Includes skip_groups, all_available, order_by, statistics, with_custom_attributes, min_access_level, and more.

About GitLab

GitLab is web-based Git repository manager. Whereas GitHub emphasizes infrastructure performance, GitLab’s focus is a features-oriented system. As an open-source collaborative platform, it enables developers to create code, review work, and deploy codebases collaboratively. It offers wiki, code reviews, built-in CI/CD, issue-tracking features, and much more.

Start analyzing your GitLab data in minutes with the right data transformation

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

GitLab

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Google Cloud Storage needs

Scheduled updates

Automate replications with recurring incremental updates to

Google Cloud Storage

.

Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Google Cloud Storage

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

Check how log replication works for PostgreSQL

About Google Cloud Storage

Cloud Storage is a service offered by Google for storing objects in Google Cloud. Objects are comprised of data in the form of a file of any format—text information, video files, audio files, etc. Objects are stored in buckets, buckets are associated with a particular project, and projects are grouped under an organization; all forms of data are stored securely and durably. Data contained in Google Storage is widely shareable, contingent upon permissions set by the data owners.

Why Choose Airbyte for your GitLab and Google Cloud Storage data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

GitLab

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your GitLab account and destination, and your new GitLab data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source GitLab ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Open-source data integration

Get all your ELT data pipelines running in minutes with Airbyte.

GitLab

to

Google Cloud Storage

in minutes.

ETL your GitLab data into Google Cloud Storage, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
GitLab
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Google Cloud Storage
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
GitLab
and
Google Cloud Storage
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your GitLab database needs.

Full control over the data

The 

GitLab

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

Check how log replication works for PostgreSQL

About GitLab

GitLab is web-based Git repository manager. Whereas GitHub emphasizes infrastructure performance, GitLab’s focus is a features-oriented system. As an open-source collaborative platform, it enables developers to create code, review work, and deploy codebases collaboratively. It offers wiki, code reviews, built-in CI/CD, issue-tracking features, and much more.

Start analyzing your GitLab data in minutes with the right data transformation

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your GitLab data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Google Cloud Storage needs

Scheduled updates

Automate replications with recurring incremental updates to Google Cloud Storage.

Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when Google Cloud Storage has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

Check how log replication works for PostgreSQL

About Google Cloud Storage

Cloud Storage is a service offered by Google for storing objects in Google Cloud. Objects are comprised of data in the form of a file of any format—text information, video files, audio files, etc. Objects are stored in buckets, buckets are associated with a particular project, and projects are grouped under an organization; all forms of data are stored securely and durably. Data contained in Google Storage is widely shareable, contingent upon permissions set by the data owners.

Why choose Airbyte for your GitLab and Google Cloud Storage data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your GitLab data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

GitLab

account and destination, and your new

GitLab

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

GitLab

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Open-source data integration

Get all your ELT data pipelines running in minutes with Airbyte.