DatriseAI-first ETL

CoinMarketCap to Mode Integration

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

How Datrise loads CoinMarketCap into Mode

Datrise syncs CoinMarketCap's cryptocurrencies, quotes, market caps, trading volumes, exchange listings, and rankings into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How CoinMarketCap entities map to Mode

CoinMarketCap entityMode objectNotes
cryptocurrenciescoinmarketcap_cryptocurrenciesid PK · custom fields → flattened columns for SQL and notebooks
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 Mode?

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

How does the CoinMarketCap to Mode sync stay up to date?

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

Related pipelines

Early access

Connect CoinMarketCap to Mode 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.