Microsoft Dataverse → MySQL
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 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
Microsoft Dataverse: SaaS or API data source for analytics and warehouse sync.
MySQL: Widely used OSS relational engine (InnoDB).
How Microsoft Dataverse entities map to MySQL
| Microsoft Dataverse entity | MySQL object | Notes |
|---|---|---|
| records | microsoft_dataverse_records | id PK · custom fields → JSON columns |
| events | microsoft_dataverse_events | DATETIME/TIMESTAMP events |
| configuration objects | microsoft_dataverse_configuration_objects | id PK · linked to microsoft_dataverse_records |
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
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Microsoft SQL Server
- Microsoft Dataverse → Oracle Database
- Microsoft Dataverse → Snowflake
- Microsoft Dataverse → Google BigQuery
- Microsoft Dataverse → Amazon Redshift
- Microsoft Dataverse → Databricks SQL Warehouse
- Microsoft Dataverse → ClickHouse
- Microsoft Dataverse → DuckDB
- Microsoft Dataverse → Amazon Athena
- Microsoft Dataverse → Amazon S3 Data Lake
- Microsoft Dataverse → Azure Data Lake Storage
- Microsoft Dataverse → Azure Synapse
Early access
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