DatriseAI-first ETL

SAP MySQL

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

How Datrise loads SAP into MySQL

Datrise syncs SAP's finance, procurement, operations, and master-data entities 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

SAP: ERP source for finance, operations, and procurement entities.

MySQL: Widely used OSS relational engine (InnoDB).

How SAP entities map to MySQL

SAP entityMySQL objectNotes
financesap_financeid PK · custom fields → JSON columns
procurementsap_procurementid PK · linked to sap_finance
operationssap_operationsid PK · linked to sap_finance
master-data entitiessap_master_data_entitiesid PK · linked to sap_finance

FAQ

How does Datrise handle SAP'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 SAP 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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