DatriseAI-first ETL

JobNimbus Microsoft SQL Server

AI-first ETL from JobNimbus into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads JobNimbus into Microsoft SQL Server

Datrise syncs JobNimbus's contacts, accounts, deals, activities, and lifecycle events 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

JobNimbus: Construction CRM for jobs, estimates, and contractor pipelines.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How JobNimbus entities map to Microsoft SQL Server

JobNimbus entityMicrosoft SQL Server objectNotes
contactsjobnimbus_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsjobnimbus_accountsid PK · linked to jobnimbus_contacts
dealsjobnimbus_dealsid PK · linked to jobnimbus_contacts
activitiesjobnimbus_activitiesdatetime2 events

FAQ

How does Datrise handle JobNimbus'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 JobNimbus 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

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