Snowflake to Neon Integration
AI-first ETL from Snowflake into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snowflake into Neon
Datrise syncs Snowflake's databases, schemas, tables, views, query history, and warehouses 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
Snowflake: Cloud data platform with separated storage and compute.
Neon: Serverless Postgres destination with branching and autoscaling.
How Snowflake entities map to Neon
| Snowflake entity | Neon object | Notes |
|---|---|---|
| databases | snowflake_databases | id PK · custom fields → jsonb columns |
| schemas | snowflake_schemas | id PK · linked to snowflake_databases |
| tables | snowflake_tables | id PK · linked to snowflake_databases |
| views | snowflake_views | id PK · linked to snowflake_databases |
FAQ
How does Datrise handle Snowflake'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 Snowflake 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 Snowflake
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