DatriseAI-first ETL

Rocket Chat PlanetScale

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

How Datrise loads Rocket Chat into PlanetScale

Datrise syncs Rocket Chat'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

Rocket Chat: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Rocket Chat entities map to PlanetScale

Rocket Chat entityPlanetScale objectNotes
recordsrocket_chat_recordsid PK · custom fields → JSON columns
eventsrocket_chat_eventsDATETIME events
configuration objectsrocket_chat_configuration_objectsid PK · linked to rocket_chat_records

FAQ

How does Datrise handle Rocket Chat'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 Rocket Chat 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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