DatriseAI-first ETL

IBM IBM Db2 to PlanetScale Integration

AI-first ETL from IBM IBM Db2 into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads IBM IBM Db2 into PlanetScale

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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

IBM IBM Db2: IBM relational database for transactional workloads.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How IBM IBM Db2 entities map to PlanetScale

IBM IBM Db2 entityPlanetScale objectNotes
tablesdb2_tablesid PK · custom fields → JSON columns
rowsdb2_rowsid PK · linked to db2_tables
schemasdb2_schemasid PK · linked to db2_tables
indexesdb2_indexesid PK · linked to db2_tables

FAQ

How does Datrise handle IBM IBM Db2'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 IBM IBM Db2 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

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