DatriseAI-first ETL

MyCase to PlanetScale Integration

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

How Datrise loads MyCase into PlanetScale

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents 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

MyCase: Case management and client intake for law firms.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How MyCase entities map to PlanetScale

MyCase entityPlanetScale objectNotes
casesmycase_casesid PK · custom fields → JSON columns
clientsmycase_clientsid PK · linked to mycase_cases
leadsmycase_leadsid PK · linked to mycase_cases
time entriesmycase_time_entriesid PK · linked to mycase_cases

FAQ

How does Datrise handle MyCase'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 MyCase 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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