DatriseAI-first ETL

MongoDB Azure Synapse

AI-first ETL from MongoDB into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads MongoDB into Azure Synapse

Datrise syncs MongoDB's collections, documents, change streams, and schema snapshots into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

MongoDB: Document database often used as an operational source for analytics.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How MongoDB entities map to Azure Synapse

MongoDB entityAzure Synapse objectNotes
collectionsmongodb_collectionsid PK · custom fields → NVARCHAR(MAX) JSON columns
documentsmongodb_documentsid PK · linked to mongodb_collections
change streamsmongodb_change_streamsdatetime2 events
schema snapshotsmongodb_schema_snapshotsid PK · linked to mongodb_collections

FAQ

How does Datrise handle MongoDB's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the MongoDB to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

Connect MongoDB to Azure Synapse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.