DatriseAI-first ETL

Salesforce Marketing Cloud to MySQL Integration

AI-first ETL from Salesforce Marketing Cloud into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Marketing Cloud into MySQL

Datrise syncs Salesforce Marketing Cloud's subscribers, data extensions, journeys, sends, email events, and lists 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

Salesforce Marketing Cloud: Enterprise email, journeys, and cross-channel messaging.

MySQL: Widely used OSS relational engine (InnoDB).

How Salesforce Marketing Cloud entities map to MySQL

Salesforce Marketing Cloud entityMySQL objectNotes
subscriberssalesforce_marketing_cloud_subscribersid PK · custom fields → JSON columns
data extensionssalesforce_marketing_cloud_data_extensionsid PK · linked to salesforce_marketing_cloud_subscribers
journeyssalesforce_marketing_cloud_journeysid PK · linked to salesforce_marketing_cloud_subscribers
sendssalesforce_marketing_cloud_sendsid PK · linked to salesforce_marketing_cloud_subscribers

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Salesforce Marketing Cloud 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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