Intercom → PlanetScale
AI-first ETL from Intercom into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intercom into PlanetScale
Datrise syncs Intercom's conversations, customer attributes, inbox events, and support engagement 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
Intercom: Customer messaging platform with CRM-style account and conversation context.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Intercom entities map to PlanetScale
| Intercom entity | PlanetScale object | Notes |
|---|---|---|
| conversations | intercom_conversations | id PK · custom fields → JSON columns |
| customer attributes | intercom_customer_attributes | id PK · linked to intercom_conversations |
| inbox events | intercom_inbox_events | DATETIME events |
| support engagement | intercom_support_engagement | id PK · linked to intercom_conversations |
FAQ
How does Datrise handle Intercom'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 Intercom 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
More destinations for Intercom
More sources for PlanetScale
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