Stream data from Oracle Database to MongoDB
Move data from Oracle Database 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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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Oracle Database with MongoDB in 3 simple steps
Connect Oracle Database as your data source
Set up a source connector for Oracle Database 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.

Oracle Database connector details
Estuary’s Oracle Database connector captures inserts, updates, and deletes from Oracle databases using Oracle LogMiner. It performs an initial backfill of selected tables and then continues streaming incremental changes based on Oracle SCNs, turning Oracle data into real-time Estuary collections for analytics, replication, and CDC pipelines.
- Capture real-time CDC events from Oracle Database 11g and above using Oracle LogMiner.
- Run an initial backfill of selected Oracle tables, then continue with incremental SCN-based change capture.
- Support non-container Oracle databases and CDB/PDB deployments when root-container access is available.
- Discover tables from selected Oracle schemas and capture them into Estuary collections.
- Use a dedicated database user with table-read access, catalog permissions, LogMiner access, and access to a watermarks table.
- Enable supplemental logging so Oracle records the row-level change data needed for CDC.
- Choose LogMiner dictionary mode based on your workload: extract for better schema-change handling, or online for lower resource usage when schemas are stable.
- Connect to private or cloud-hosted Oracle databases using SSH tunneling, Private deployments, or BYOC networking.
- Tune backfill size, incremental chunk size, and SCN range for high-volume Oracle workloads.
- Note that Oracle LogMiner does not support table or column names longer than 30 characters.

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.

Oracle Database to MongoDB pricing estimate
Estimated monthly cost to move 800 GB from Oracle Database to MongoDB is approximately $1,000.
Data moved
Choose how much data you want to move from Oracle Database to MongoDB each month.
GB
Choose number of sources and destinations.
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 Oracle Database 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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