DatriseAI-first ETL

Harness to Supabase Integration

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

How Datrise loads Harness into Supabase

Datrise syncs Harness's pipelines, deployments, services, environments, execution logs, and approvals 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

Harness: Continuous delivery pipelines and deployment verification.

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

How Harness entities map to Supabase

Harness entitySupabase objectNotes
pipelinesharness_pipelinesid PK · custom fields → jsonb columns
deploymentsharness_deploymentsid PK · linked to harness_pipelines
servicesharness_servicesid PK · linked to harness_pipelines
environmentsharness_environmentsid PK · linked to harness_pipelines

FAQ

How does Datrise handle Harness'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 Harness 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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