CoinGecko to PlanetScale Integration
AI-first ETL from CoinGecko into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinGecko into PlanetScale
Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history 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: Cryptocurrency prices and market data.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How CoinGecko entities map to PlanetScale
| CoinGecko entity | PlanetScale object | Notes |
|---|---|---|
| coins | coingecko_coins_coins | id PK · custom fields → JSON columns |
| market prices | coingecko_coins_market_prices | id PK · linked to coingecko_coins_coins |
| market caps | coingecko_coins_market_caps | id PK · linked to coingecko_coins_coins |
| trading volumes | coingecko_coins_trading_volumes | id PK · linked to coingecko_coins_coins |
FAQ
How does Datrise handle CoinGecko'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 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
More destinations for CoinGecko
More sources for PlanetScale
Early access
Connect CoinGecko to PlanetScale the easy way
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