Salesflare → PlanetScale
AI-first ETL from Salesflare into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into PlanetScale
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Salesflare entities map to PlanetScale
| Salesflare entity | PlanetScale object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → JSON columns |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | DATETIME events |
FAQ
How does Datrise handle Salesflare'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 Salesflare to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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