DatriseAI-first ETL

CoinMarketCap to ThoughtSpot Integration

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

How Datrise loads CoinMarketCap into ThoughtSpot

Datrise syncs CoinMarketCap's cryptocurrencies, quotes, market caps, trading volumes, exchange listings, and rankings into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How CoinMarketCap entities map to ThoughtSpot

CoinMarketCap entityThoughtSpot objectNotes
cryptocurrenciescoinmarketcap_cryptocurrenciesid PK · custom fields → flattened columns for searchable 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 ThoughtSpot?

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

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

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

Related pipelines

Early access

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