Marketo Bulk to Amazon Redshift Integration

How Datrise loads Marketo Bulk into Amazon Redshift

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

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

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Marketo Bulk entities map to Amazon Redshift

Marketo Bulk entity	Amazon Redshift object	Notes
leads	`marketo_bulk_leads`	id PK · custom fields → SUPER columns
activities	`marketo_bulk_activities`	TIMESTAMPTZ events
program memberships	`marketo_bulk_program_memberships`	id PK · linked to marketo_bulk_leads
email events	`marketo_bulk_email_events`	TIMESTAMPTZ events

FAQ

How does Datrise handle Marketo Bulk's custom fields in Amazon Redshift?

Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.

How does the Marketo Bulk to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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