CoinAPI to Sisense Integration
AI-first ETL from CoinAPI into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinAPI into Sisense
Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
CoinAPI: Consolidated crypto market data API.
Sisense: Analytics platform with elastic data models and embedded analytics.
How CoinAPI entities map to Sisense
| CoinAPI entity | Sisense object | Notes |
|---|---|---|
| exchange rates | coin_api_exchange_rates | date/time fields events |
| symbols | coin_api_symbols | id PK · linked to coin_api_exchange_rates |
| trades | coin_api_trades | id PK · linked to coin_api_exchange_rates |
| order book snapshots | coin_api_order_book_snapshots | id PK · linked to coin_api_exchange_rates |
FAQ
How does Datrise handle CoinAPI's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the CoinAPI to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for CoinAPI
Early access
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