DatriseAI-first ETL

Orbit to PostgreSQL Integration

AI-first ETL from Orbit into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Orbit into PostgreSQL

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Orbit: Community member activity and engagement scoring.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Orbit entities map to PostgreSQL

Orbit entityPostgreSQL objectNotes
membersorbit_membersid PK · custom fields → jsonb columns
activitiesorbit_activitiestimestamptz events
organizationsorbit_organizationsid PK · linked to orbit_members
love scoresorbit_love_scoresid PK · linked to orbit_members

FAQ

How does Datrise handle Orbit's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Orbit to PostgreSQL sync stay up to date?

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

Related pipelines

Early access

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