CoinAPI to Microsoft SQL Server Integration

How Datrise loads CoinAPI into Microsoft SQL Server

Datrise syncs CoinAPI's exchange rates, symbols, trades, order book snapshots, OHLCV bars, and exchanges into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

CoinAPI: Consolidated crypto market data API.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How CoinAPI entities map to Microsoft SQL Server

CoinAPI entity	Microsoft SQL Server object	Notes
exchange rates	`coin_api_exchange_rates`	datetime2 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the CoinAPI to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

Connect CoinAPI to Microsoft SQL Server 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.