DatriseAI-first ETL

Freshsales PlanetScale

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

How Datrise loads Freshsales into PlanetScale

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Freshsales entities map to PlanetScale

Freshsales entityPlanetScale objectNotes
leadsfreshsales_leadsid PK · custom fields → JSON columns
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales'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 Freshsales 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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