DatriseAI-first ETL

GitLab Apache Superset

AI-first ETL from GitLab into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads GitLab into Apache Superset

Datrise syncs GitLab's projects, merge requests, pipelines, issues, and deployment events into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

GitLab: DevOps platform for repos, CI/CD, and issue tracking.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How GitLab entities map to Apache Superset

GitLab entityApache Superset objectNotes
projectsgitlab_projectsid PK · custom fields → flattened columns for the explore UI
merge requestsgitlab_merge_requestsid PK · linked to gitlab_projects
pipelinesgitlab_pipelinesid PK · linked to gitlab_projects
issuesgitlab_issuesid PK · linked to gitlab_projects

FAQ

How does Datrise handle GitLab's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the GitLab to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect GitLab to Apache Superset the easy way

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