Marketo Bulk to Mode Integration

How Datrise loads Marketo Bulk into Mode

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Marketo Bulk entities map to Mode

Marketo Bulk entity	Mode object	Notes
leads	`marketo_bulk_leads`	id PK · custom fields → flattened columns for SQL and notebooks
activities	`marketo_bulk_activities`	temporal columns events
program memberships	`marketo_bulk_program_memberships`	id PK · linked to marketo_bulk_leads
email events	`marketo_bulk_email_events`	temporal columns events

FAQ

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

Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.

How does the Marketo Bulk to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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