Freshcaller to Microsoft SQL Server Integration
AI-first ETL from Freshcaller into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Freshcaller into Microsoft SQL Server
Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings 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
Freshcaller: Cloud call center for support and sales.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Freshcaller entities map to Microsoft SQL Server
| Freshcaller entity | Microsoft SQL Server object | Notes |
|---|---|---|
| calls | freshcaller_calls | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| agents | freshcaller_agents | id PK · linked to freshcaller_calls |
| queues | freshcaller_queues | id PK · linked to freshcaller_calls |
| phone numbers | freshcaller_phone_numbers | id PK · linked to freshcaller_calls |
FAQ
How does Datrise handle Freshcaller'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 Freshcaller 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
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Early access
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