DatriseAI-first ETL

Coingecko Coins PlanetScale

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

How Datrise loads Coingecko Coins into PlanetScale

Datrise syncs Coingecko Coins'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

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

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Coingecko Coins entities map to PlanetScale

Coingecko Coins entityPlanetScale objectNotes
recordscoingecko_coins_recordsid PK · custom fields → JSON columns
eventscoingecko_coins_eventsDATETIME events
configuration objectscoingecko_coins_configuration_objectsid PK · linked to coingecko_coins_records

FAQ

How does Datrise handle Coingecko Coins'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 Coingecko Coins 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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