Microsoft Dataverse to Amazon S3 Data Lake Integration
AI-first ETL from Microsoft Dataverse into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into Amazon S3 Data Lake
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Microsoft Dataverse: Business data platform behind Dynamics and Power Apps.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Microsoft Dataverse entities map to Amazon S3 Data Lake
| Microsoft Dataverse entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → nested struct/map fields in Parquet |
| rows | microsoft_dataverse_rows | id PK · linked to microsoft_dataverse_tables |
| columns | microsoft_dataverse_columns | id PK · linked to microsoft_dataverse_tables |
| relationships | microsoft_dataverse_relationships | id PK · linked to microsoft_dataverse_tables |
FAQ
How does Datrise handle Microsoft Dataverse's custom fields in Amazon S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Microsoft Dataverse to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for Microsoft Dataverse
- Microsoft Dataverse → Azure Data Lake Storage
- Microsoft Dataverse → Azure Synapse
- Microsoft Dataverse → Spreadsheets
- Microsoft Dataverse → Airtable
- Microsoft Dataverse → CSV Files
- Microsoft Dataverse → MongoDB
- Microsoft Dataverse → Supabase
- Microsoft Dataverse → Neon
- Microsoft Dataverse → PlanetScale
- Microsoft Dataverse → Amazon DynamoDB
- Microsoft Dataverse → Looker
- Microsoft Dataverse → Looker Studio
More sources for Amazon S3 Data Lake
- Microsoft SharePoint → Amazon S3 Data Lake
- Microsoft Teams → Amazon S3 Data Lake
- Microsoft SQL Server → Amazon S3 Data Lake
- My Hours → Amazon S3 Data Lake
- n8n → Amazon S3 Data Lake
- NetSuite SuiteAnalytics → Amazon S3 Data Lake
- New York Times → Amazon S3 Data Lake
- News API → Amazon S3 Data Lake
- Newsdata → Amazon S3 Data Lake
- Notion → Amazon S3 Data Lake
- Okta → Amazon S3 Data Lake
- Omnisend → Amazon S3 Data Lake
Early access
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