Freshcaller to PlanetScale Integration

How Datrise loads Freshcaller into PlanetScale

Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings 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

Freshcaller: Cloud call center for support and sales.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Freshcaller entities map to PlanetScale

Freshcaller entity	PlanetScale object	Notes
calls	`freshcaller_calls`	id PK · custom fields → JSON columns
agents	`freshcaller_agents`	id PK · linked to freshcaller_calls
queues	`freshcaller_queues`	id PK · linked to freshcaller_calls
phone numbers	`freshcaller_phone_numbers`	id PK · linked to freshcaller_calls

FAQ

How does Datrise handle Freshcaller'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 Freshcaller 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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