DatriseAI-first ETL

Coinmarketcap PlanetScale

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

How Datrise loads Coinmarketcap into PlanetScale

Datrise syncs Coinmarketcap's records, events, and configuration objects 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

Coinmarketcap: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Coinmarketcap entities map to PlanetScale

Coinmarketcap entityPlanetScale objectNotes
recordscoinmarketcap_recordsid PK · custom fields → JSON columns
eventscoinmarketcap_eventsDATETIME events
configuration objectscoinmarketcap_configuration_objectsid PK · linked to coinmarketcap_records

FAQ

How does Datrise handle Coinmarketcap'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 Coinmarketcap 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

Connect Coinmarketcap to PlanetScale the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.