GitLab → Yellowfin
AI-first ETL from GitLab into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitLab into Yellowfin
Datrise syncs GitLab's projects, merge requests, pipelines, issues, and deployment events into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
GitLab: DevOps platform for repos, CI/CD, and issue tracking.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How GitLab entities map to Yellowfin
| GitLab entity | Yellowfin object | Notes |
|---|---|---|
| projects | gitlab_projects | id PK · custom fields → flattened columns |
| merge requests | gitlab_merge_requests | id PK · linked to gitlab_projects |
| pipelines | gitlab_pipelines | id PK · linked to gitlab_projects |
| issues | gitlab_issues | id PK · linked to gitlab_projects |
FAQ
How does Datrise handle GitLab's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the GitLab to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for GitLab
Early access
Connect GitLab to Yellowfin the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.