DatriseAI-first ETL

Orbit to Neon Integration

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

How Datrise loads Orbit into Neon

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Orbit: Community member activity and engagement scoring.

Neon: Serverless Postgres destination with branching and autoscaling.

How Orbit entities map to Neon

Orbit entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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