Segment → Neon
AI-first ETL from Segment into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Segment into Neon
Datrise syncs Segment's sources, destinations, track events, identify calls, and schema catalog 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
Segment: Customer data platform routing events to warehouses.
Neon: Serverless Postgres destination with branching and autoscaling.
How Segment entities map to Neon
| Segment entity | Neon object | Notes |
|---|---|---|
| sources | segment_sources | id PK · custom fields → jsonb columns |
| destinations | segment_destinations | id PK · linked to segment_sources |
| track events | segment_track_events | timestamptz events |
| identify calls | segment_identify_calls | id PK · linked to segment_sources |
FAQ
How does Datrise handle Segment'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 Segment 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
More destinations for Segment
Early access
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