Redshift to Neon Integration
AI-first ETL from Redshift into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Redshift into Neon
Datrise syncs Redshift's tables, rows, schemas, sort keys, distribution keys, and query history 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
Redshift: Columnar cloud data warehouse on AWS.
Neon: Serverless Postgres destination with branching and autoscaling.
How Redshift entities map to Neon
| Redshift entity | Neon object | Notes |
|---|---|---|
| tables | redshift_tables | id PK · custom fields → jsonb columns |
| rows | redshift_rows | id PK · linked to redshift_tables |
| schemas | redshift_schemas | id PK · linked to redshift_tables |
| sort keys | redshift_sort_keys | id PK · linked to redshift_tables |
FAQ
How does Datrise handle Redshift'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 Redshift 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 Redshift
Early access
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