Exchange Rates API → Microsoft SQL Server
AI-first ETL from Exchange Rates API into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Exchange Rates API into Microsoft SQL Server
Datrise syncs Exchange Rates API's records, events, and configuration objects 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
Exchange Rates API: SaaS or API data source for analytics and warehouse sync.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Exchange Rates API entities map to Microsoft SQL Server
| Exchange Rates API entity | Microsoft SQL Server object | Notes |
|---|---|---|
| records | exchange_rates_api_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | exchange_rates_api_events | datetime2 events |
| configuration objects | exchange_rates_api_configuration_objects | id PK · linked to exchange_rates_api_records |
FAQ
How does Datrise handle Exchange Rates API'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 Exchange Rates API 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
More destinations for Exchange Rates API
- Exchange Rates API → Oracle Database
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- Exchange Rates API → Amazon S3 Data Lake
- Exchange Rates API → Azure Data Lake Storage
- Exchange Rates API → Azure Synapse
- Exchange Rates API → Spreadsheets
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Early access
Connect Exchange Rates API to Microsoft SQL Server the easy way
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