CoinGecko to MongoDB Integration
AI-first ETL from CoinGecko into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinGecko into MongoDB
Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
CoinGecko: Cryptocurrency prices and market data.
MongoDB: Document database for flexible schemas.
How CoinGecko entities map to MongoDB
| CoinGecko entity | MongoDB object | Notes |
|---|---|---|
| coins | coingecko_coins_coins | id PK · custom fields → native nested documents |
| 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 MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the CoinGecko to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for CoinGecko
Early access
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