DatriseAI-first ETL

Tyntec SMS PlanetScale

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

How Datrise loads Tyntec SMS into PlanetScale

Datrise syncs Tyntec SMS'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

Tyntec SMS: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Tyntec SMS entities map to PlanetScale

Tyntec SMS entityPlanetScale objectNotes
recordstyntec_sms_recordsid PK · custom fields → JSON columns
eventstyntec_sms_eventsDATETIME events
configuration objectstyntec_sms_configuration_objectsid PK · linked to tyntec_sms_records

FAQ

How does Datrise handle Tyntec SMS'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 Tyntec SMS 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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