DatriseAI-first ETL

CockroachDB to PlanetScale Integration

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

How Datrise loads CockroachDB into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How CockroachDB entities map to PlanetScale

CockroachDB entityPlanetScale objectNotes
tablescockroachdb_tablesid PK · custom fields → JSON 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 PlanetScale?

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

How does the CockroachDB to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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