Azure Table Storage → MongoDB
AI-first ETL from Azure Table Storage into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into MongoDB
Datrise syncs Azure Table Storage's records, events, and configuration objects into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Azure Table Storage: SaaS or API data source for analytics and warehouse sync.
MongoDB: Document database for flexible schemas.
How Azure Table Storage entities map to MongoDB
| Azure Table Storage entity | MongoDB object | Notes |
|---|---|---|
| records | azure_table_storage_records | id PK · custom fields → native nested documents |
| events | azure_table_storage_events | BSON Date events |
| configuration objects | azure_table_storage_configuration_objects | id PK · linked to azure_table_storage_records |
FAQ
How does Datrise handle Azure Table Storage's custom fields in MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Azure Table Storage to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Azure Table Storage
- Azure Table Storage → Supabase
- Azure Table Storage → Neon
- Azure Table Storage → PlanetScale
- Azure Table Storage → Amazon DynamoDB
- Azure Table Storage → Looker
- Azure Table Storage → Looker Studio
- Azure Table Storage → Microsoft Power BI
- Azure Table Storage → Tableau
- Azure Table Storage → Apache Superset
- Azure Table Storage → Metabase
- Azure Table Storage → Amazon QuickSight
- Azure Table Storage → Domo
Early access
Connect Azure Table Storage to MongoDB the easy way
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