DatriseAI-first ETL

CockroachDB to Neon Integration

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

How Datrise loads CockroachDB into Neon

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds 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

CockroachDB: Distributed SQL with survivable multi-region consistency.

Neon: Serverless Postgres destination with branching and autoscaling.

How CockroachDB entities map to Neon

CockroachDB entityNeon objectNotes
tablescockroachdb_tablesid PK · custom fields → jsonb columns
rowscockroachdb_rowsid PK · linked to cockroachdb_tables
schemascockroachdb_schemasid PK · linked to cockroachdb_tables
secondary indexescockroachdb_secondary_indexesid PK · linked to cockroachdb_tables

FAQ

How does Datrise handle CockroachDB'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 CockroachDB 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

Early access

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