DatriseAI-first ETL

Wise Agent to PlanetScale Integration

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

How Datrise loads Wise Agent into PlanetScale

Datrise syncs Wise Agent's contacts, transactions, listings, commissions, referrals, and checklists 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

Wise Agent: Real estate CRM for transactions, commissions, and referrals.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Wise Agent entities map to PlanetScale

Wise Agent entityPlanetScale objectNotes
contactswise_agent_contactsid PK · custom fields → JSON columns
transactionswise_agent_transactionsid PK · linked to wise_agent_contacts
listingswise_agent_listingsid PK · linked to wise_agent_contacts
commissionswise_agent_commissionsid PK · linked to wise_agent_contacts

FAQ

How does Datrise handle Wise Agent'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 Wise Agent 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

Early access

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