Nutshell → Microsoft SQL Server
AI-first ETL from Nutshell into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Nutshell into Microsoft SQL Server
Datrise syncs Nutshell's pipeline records, activity history, and conversion-focused sales metrics 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
Nutshell: Sales CRM for teams that need simple reporting and pipeline velocity.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Nutshell entities map to Microsoft SQL Server
| Nutshell entity | Microsoft SQL Server object | Notes |
|---|---|---|
| pipeline records | nutshell_pipeline_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| activity history | nutshell_activity_history | datetime2 events |
| conversion-focused sales metrics | nutshell_conversion_focused_sales_metrics | id PK · linked to nutshell_pipeline_records |
FAQ
How does Datrise handle Nutshell'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 Nutshell 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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- Nutshell → Amazon Athena
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Early access
Connect Nutshell to Microsoft SQL Server the easy way
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