
Stream into Azure Cosmos DB with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Azure Cosmos DB using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Azure Cosmos DB connector details
The Azure Cosmos DB for MongoDB materialization connector in Estuary delivers documents from Estuary collections into MongoDB-compatible collections in Azure Cosmos DB. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.
- Standard merge-based updates by default to keep destination documents synchronized
- Optional delta updates for workloads where changes should be applied incrementally
- Optional hard deletes to remove destination documents when records are deleted upstream
- Automatic
**_id**mapping based on the Estuary collection key - Handles existing
**_id**fields safely by materializing them as_flow_idto avoid conflicts - Configurable destination database and collection for each binding
- Username and password authentication
- MongoDB connection string support, including
mongodb+srv://addresses - SSH tunneling support for destinations on secure or private networks
By default, deletions are represented as soft deletes using _meta/op. When hard deletes are enabled, records deleted upstream are also removed from the destination collection. The connector supports both standard updates and delta updates, with standard updates used by default.
How to connect your data source to Azure Cosmos DB in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Azure Cosmos DB
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Azure Cosmos DB, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Azure Cosmos DB through Estuary.
- Transform and route data through Estuary collections before delivering it to Azure Cosmos DB.
See what you can connect to Azure Cosmos DB:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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