DatriseAI-first ETL

CoinMarketCap to Looker Studio Integration

AI-first ETL from CoinMarketCap into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads CoinMarketCap into Looker Studio

Datrise syncs CoinMarketCap's cryptocurrencies, quotes, market caps, trading volumes, exchange listings, and rankings into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

CoinMarketCap: Crypto asset rankings, quotes, and market caps.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How CoinMarketCap entities map to Looker Studio

CoinMarketCap entityLooker Studio objectNotes
cryptocurrenciescoinmarketcap_cryptocurrenciesid PK · custom fields → flattened columns for chart fields
quotescoinmarketcap_quotesid PK · linked to coinmarketcap_cryptocurrencies
market capscoinmarketcap_market_capsid PK · linked to coinmarketcap_cryptocurrencies
trading volumescoinmarketcap_trading_volumesid PK · linked to coinmarketcap_cryptocurrencies

FAQ

How does Datrise handle CoinMarketCap's custom fields in Looker Studio?

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

How does the CoinMarketCap to Looker Studio sync stay up to date?

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

Related pipelines

Early access

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