Stream data from Microsoft Dynamics 365 Finance and Operations to MongoDB
Move data from Microsoft Dynamics 365 Finance and Operations to MongoDB in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 7+GB/secSingle dataflow
How to integrate Microsoft Dynamics 365 Finance and Operations with MongoDB in 3 simple steps
Connect Microsoft Dynamics 365 Finance and Operations as your data source
Set up a source connector for Microsoft Dynamics 365 Finance and Operations in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure MongoDB as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to MongoDB.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Microsoft Dynamics 365 Finance and Operations connector details
The Microsoft Dynamics 365 Finance and Operations connector captures business and financial data exported from Dynamics 365 into Estuary collections via Azure Synapse Link and Azure Data Lake Storage. It provides dependable, right-time synchronization for analytics, reporting, and automation.
- Right-time sync: Continuously captures changes from Finance and Operations tables exported as CSV files through Synapse Link.
- Secure authentication: Connect using an Azure Shared Access Signature (SAS) token with read and list permissions.
- Flexible architecture: Works with any Azure-hosted environment exporting Dynamics 365 data in CSV format.
- Simple setup: Authenticate once, discover available tables, and map each to Estuary collections automatically.
- Enterprise visibility: Ideal for financial, supply chain, and operational reporting pipelines built on Azure.
💡 Data freshness: Right-time polling (incremental sync every 15 minutes) — optimized for operational analytics across ERP systems.

MongoDB connector details
The MongoDB materialization connector writes Estuary collections into MongoDB collections, turning each Estuary collection document into a MongoDB document. Estuary uses the Estuary collection key to create the MongoDB _id value, so documents can be updated consistently as upstream data changes.
- Materialize Estuary collections into MongoDB collections for application, operational, and real-time serving use cases.
- Create MongoDB documents with an
_idvalue based on the Estuary collection key. - If an Estuary collection already contains a field named
_id, Estuary writes that field as_flow_idto avoid conflicts with MongoDB’s required_idfield. - Connect using your MongoDB host address, database name, username, and password, including
mongodb+srv://addresses where applicable. - Use a MongoDB user with read and write access to the target database and collections.
- Support standard merge updates by default, with optional delta updates for workloads that need that update mode.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Microsoft Dynamics 365 Finance and Operations to MongoDB pricing estimate
Estimated monthly cost to move 800 GB from Microsoft Dynamics 365 Finance and Operations to MongoDB is approximately $1,000.
Data moved
Choose how much data you want to move from Microsoft Dynamics 365 Finance and Operations to MongoDB each month.
GB
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Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Microsoft Dynamics 365 Finance and Operations to MongoDB integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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