DatriseAI-first ETL

Merge to PlanetScale Integration

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

How Datrise loads Merge into PlanetScale

Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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

Merge: Unified API across HR, CRM, and accounting tools.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Merge entities map to PlanetScale

Merge entityPlanetScale objectNotes
linked accountsmerge_linked_accountsid PK · custom fields → JSON columns
employeesmerge_employeesid PK · linked to merge_linked_accounts
candidatesmerge_candidatesid PK · linked to merge_linked_accounts
contactsmerge_contactsid PK · linked to merge_linked_accounts

FAQ

How does Datrise handle Merge'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 Merge 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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