DatriseAI-first ETL

CoinGecko to Yellowfin Integration

AI-first ETL from CoinGecko into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads CoinGecko into Yellowfin

Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

CoinGecko: Cryptocurrency prices and market data.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How CoinGecko entities map to Yellowfin

CoinGecko entityYellowfin objectNotes
coinscoingecko_coins_coinsid PK · custom fields → flattened columns
market pricescoingecko_coins_market_pricesid PK · linked to coingecko_coins_coins
market capscoingecko_coins_market_capsid PK · linked to coingecko_coins_coins
trading volumescoingecko_coins_trading_volumesid PK · linked to coingecko_coins_coins

FAQ

How does Datrise handle CoinGecko's custom fields in Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the CoinGecko to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect CoinGecko to Yellowfin 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.