Redshift to PlanetScale Integration

How Datrise loads Redshift into PlanetScale

Datrise syncs Redshift's tables, rows, schemas, sort keys, distribution keys, and query history 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

Redshift: Columnar cloud data warehouse on AWS.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Redshift entities map to PlanetScale

Redshift entity	PlanetScale object	Notes
tables	`redshift_tables`	id PK · custom fields → JSON 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 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 Redshift 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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