DatriseAI-first ETL

PostgreSQL to Neon Integration

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

How Datrise loads PostgreSQL into Neon

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

Neon: Serverless Postgres destination with branching and autoscaling.

How PostgreSQL entities map to Neon

PostgreSQL entityNeon objectNotes
tableshp_postgres_tablesid PK · custom fields → jsonb columns
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL 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

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