DatriseAI-first ETL

GitLab Supabase

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

How Datrise loads GitLab into Supabase

Datrise syncs GitLab's projects, merge requests, pipelines, issues, and deployment events into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

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

Supabase: Postgres platform with auth, storage, and realtime APIs.

How GitLab entities map to Supabase

GitLab entitySupabase objectNotes
projectsgitlab_projectsid PK · custom fields → jsonb columns
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 Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the GitLab to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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