DatriseAI-first ETL

Top Producer to PlanetScale Integration

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

How Datrise loads Top Producer into PlanetScale

Datrise syncs Top Producer's contacts, leads, listings, transactions, follow-up plans, and market snapshots 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

Top Producer: Real estate contact management and transaction follow-up.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Top Producer entities map to PlanetScale

Top Producer entityPlanetScale objectNotes
contactstop_producer_contactsid PK · custom fields → JSON columns
leadstop_producer_leadsid PK · linked to top_producer_contacts
listingstop_producer_listingsid PK · linked to top_producer_contacts
transactionstop_producer_transactionsid PK · linked to top_producer_contacts

FAQ

How does Datrise handle Top Producer'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 Top Producer 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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