DatriseAI-first ETL

CockroachDB to Amazon Redshift Integration

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

How Datrise loads CockroachDB into Amazon Redshift

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How CockroachDB entities map to Amazon Redshift

CockroachDB entityAmazon Redshift objectNotes
tablescockroachdb_tablesid PK · custom fields → SUPER 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 Amazon Redshift?

Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.

How does the CockroachDB to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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