DatriseAI-first ETL

CoinAPI to ThoughtSpot Integration

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

How Datrise loads CoinAPI into ThoughtSpot

Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges 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

CoinAPI: Consolidated crypto market data API.

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

How CoinAPI entities map to ThoughtSpot

CoinAPI entityThoughtSpot objectNotes
exchange ratescoin_api_exchange_ratesdate/time columns events
symbolscoin_api_symbolsid PK · linked to coin_api_exchange_rates
tradescoin_api_tradesid PK · linked to coin_api_exchange_rates
order book snapshotscoin_api_order_book_snapshotsid PK · linked to coin_api_exchange_rates

FAQ

How does Datrise handle CoinAPI'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 CoinAPI to ThoughtSpot sync stay up to date?

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

Related pipelines

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