DatriseAI-first ETL

CoinAPI to DuckDB Integration

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

How Datrise loads CoinAPI into DuckDB

Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

CoinAPI: Consolidated crypto market data API.

DuckDB: In-process analytics database for fast local OLAP.

How CoinAPI entities map to DuckDB

CoinAPI entityDuckDB objectNotes
exchange ratescoin_api_exchange_ratesTIMESTAMP WITH TIME ZONE 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 DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

How does the CoinAPI to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect CoinAPI to DuckDB 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.