DatriseAI-first ETL

Ibm Db2 PlanetScale

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

How Datrise loads Ibm Db2 into PlanetScale

Datrise syncs Ibm Db2's records, events, and configuration objects 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 Db2: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Ibm Db2 entities map to PlanetScale

Ibm Db2 entityPlanetScale objectNotes
recordsibm_db2_recordsid PK · custom fields → JSON columns
eventsibm_db2_eventsDATETIME events
configuration objectsibm_db2_configuration_objectsid PK · linked to ibm_db2_records

FAQ

How does Datrise handle 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 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

Early access

Connect Ibm Db2 to PlanetScale the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.