Allbound → PlanetScale
AI-first ETL from Allbound into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Allbound into PlanetScale
Datrise syncs Allbound's contacts, accounts, deals, activities, and lifecycle events 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
Allbound: Partner relationship management for channels and co-sell motions.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Allbound entities map to PlanetScale
| Allbound entity | PlanetScale object | Notes |
|---|---|---|
| contacts | allbound_contacts | id PK · custom fields → JSON columns |
| accounts | allbound_accounts | id PK · linked to allbound_contacts |
| deals | allbound_deals | id PK · linked to allbound_contacts |
| activities | allbound_activities | DATETIME events |
FAQ
How does Datrise handle Allbound'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 Allbound 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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More sources for PlanetScale
Early access
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