DatriseAI-first ETL

Microsoft Dataverse to MySQL Integration

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

How Datrise loads Microsoft Dataverse into MySQL

Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking 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

Microsoft Dataverse: Business data platform behind Dynamics and Power Apps.

MySQL: Widely used OSS relational engine (InnoDB).

How Microsoft Dataverse entities map to MySQL

Microsoft Dataverse entityMySQL objectNotes
tablesmicrosoft_dataverse_tablesid PK · custom fields → JSON columns
rowsmicrosoft_dataverse_rowsid PK · linked to microsoft_dataverse_tables
columnsmicrosoft_dataverse_columnsid PK · linked to microsoft_dataverse_tables
relationshipsmicrosoft_dataverse_relationshipsid PK · linked to microsoft_dataverse_tables

FAQ

How does Datrise handle Microsoft Dataverse'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 Microsoft Dataverse 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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