DatriseAI-first ETL

Wealthbox Microsoft SQL Server

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

How Datrise loads Wealthbox into Microsoft SQL Server

Datrise syncs Wealthbox'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

Wealthbox: Financial advisor CRM for clients, households, and compliance workflows.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Wealthbox entities map to Microsoft SQL Server

Wealthbox entityMicrosoft SQL Server objectNotes
contactswealthbox_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountswealthbox_accountsid PK · linked to wealthbox_contacts
dealswealthbox_dealsid PK · linked to wealthbox_contacts
activitieswealthbox_activitiesdatetime2 events

FAQ

How does Datrise handle Wealthbox'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 Wealthbox 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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