DatriseAI-first ETL

Marketo Bulk to MySQL Integration

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

How Datrise loads Marketo Bulk into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Marketo Bulk entities map to MySQL

Marketo Bulk entityMySQL objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → JSON columns
activitiesmarketo_bulk_activitiesDATETIME/TIMESTAMP events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventsDATETIME/TIMESTAMP events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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