DatriseAI-first ETL

Real Geeks Microsoft SQL Server

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

How Datrise loads Real Geeks into Microsoft SQL Server

Datrise syncs Real Geeks'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

Real Geeks: Real estate CRM for leads, listings, and agent follow-up.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Real Geeks entities map to Microsoft SQL Server

Real Geeks entityMicrosoft SQL Server objectNotes
contactsreal_geeks_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesdatetime2 events

FAQ

How does Datrise handle Real Geeks'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 Real Geeks 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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