Segment → PostgreSQL
AI-first ETL from Segment into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Segment into PostgreSQL
Datrise syncs Segment's sources, destinations, track events, identify calls, and schema catalog 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
Segment: Customer data platform routing events to warehouses.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Segment entities map to PostgreSQL
| Segment entity | PostgreSQL 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 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 Segment 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
More destinations for Segment
Early access
Connect Segment to PostgreSQL the easy way
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