GitLab
Business software
Sync GitLab projects, merge requests, pipelines, and issues. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The GitLab connector syncs your project activity into analytics-ready tables in your data warehouse. Pull groups, projects, issues, merge requests, pipelines, jobs, and commits from the GitLab REST API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Groups and projects
- Issues
- Merge requests
- Pipelines and jobs
- Commits
How it gets built
- Choose GitLab when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads GitLab's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against GitLab itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
Personal or project access token. Create a token with the read_api scope in your GitLab user or project settings.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a GitLab connector?
- Not as a finished connector yet. Ingest builds it from GitLab's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can GitLab data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
GitLab API documentation: https://docs.gitlab.com/api/rest/
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Salesforce, Airtable, Clockify, Facebook Ads.