DatriseAI-first ETL

Marketo Bulk to Microsoft SQL Server Integration

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

How Datrise loads Marketo Bulk into Microsoft SQL Server

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Marketo Bulk entities map to Microsoft SQL Server

Marketo Bulk entityMicrosoft SQL Server objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
activitiesmarketo_bulk_activitiesdatetime2 events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventsdatetime2 events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk 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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