Microsoft Dynamics 365 → Snowflake
AI-first ETL from Microsoft Dynamics 365 into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into Snowflake
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.
Snowflake: Cloud data warehouse with separated compute and storage.
How Microsoft Dynamics 365 entities map to Snowflake
| Microsoft Dynamics 365 entity | Snowflake object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → VARIANT columns |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | TIMESTAMP_TZ events |
| enterprise CRM process data | microsoft_dynamics_enterprise_crm_process_data | id PK · linked to microsoft_dynamics_accounts |
FAQ
How does Datrise handle Microsoft Dynamics 365's custom fields in Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Microsoft Dynamics 365 to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Microsoft Dynamics 365
- Microsoft Dynamics 365 → Google BigQuery
- Microsoft Dynamics 365 → Amazon Redshift
- Microsoft Dynamics 365 → Databricks SQL Warehouse
- Microsoft Dynamics 365 → ClickHouse
- Microsoft Dynamics 365 → DuckDB
- Microsoft Dynamics 365 → Amazon Athena
- Microsoft Dynamics 365 → Amazon S3 Data Lake
- Microsoft Dynamics 365 → Azure Data Lake Storage
- Microsoft Dynamics 365 → Azure Synapse
- Microsoft Dynamics 365 → Spreadsheets
- Microsoft Dynamics 365 → Airtable
- Microsoft Dynamics 365 → CSV Files
Early access
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