CoinGecko to Domo Integration

How Datrise loads CoinGecko into Domo

Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

CoinGecko: Cryptocurrency prices and market data.

Domo: Cloud BI platform combining data integration and executive dashboards.

How CoinGecko entities map to Domo

CoinGecko entity	Domo object	Notes
coins	`coingecko_coins_coins`	id PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

Early access

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