DatriseAI-first ETL

Marketo Bulk MySQL

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 records, events, and configuration 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: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Marketo Bulk entities map to MySQL

Marketo Bulk entityMySQL objectNotes
recordsmarketo_bulk_recordsid PK · custom fields → JSON columns
eventsmarketo_bulk_eventsDATETIME/TIMESTAMP events
configuration objectsmarketo_bulk_configuration_objectsid PK · linked to marketo_bulk_records

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

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