Stream data from Amazon DocumentDB to MySQL
Move data from Amazon DocumentDB to MySQL 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 Amazon DocumentDB with MySQL in 3 simple steps
Connect Amazon DocumentDB as your data source
Set up a source connector for Amazon DocumentDB 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 MySQL 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 MySQL.
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.

Amazon DocumentDB connector details
The Amazon DocumentDB connector brings your DocumentDB collections into Flow collections for downstream use. Since DocumentDB doesn’t support native change streams, this connector captures data in batch modes. You can use either full snapshots or incremental scans, making it a reliable option for periodic syncs and time-series data ingestion.
- Ingests data from Amazon DocumentDB collections into Flow
- Two batch modes: Snapshot for full refreshes, and Incremental for append-only datasets
- Optimized for time-series collections using indexed fields as cursors
- Flexible scheduling with configurable poll intervals and secure connection options

MySQL connector details
The Estuary MySQL connector materializes Flow collections into MySQL tables for downstream analytics or application use. It supports standard and delta update modes, ensuring efficient incremental writes. The connector works with both self-hosted and managed MySQL services like Amazon RDS, Google Cloud SQL, and Azure Database for MySQL, with optional SSH tunneling for secure connectivity.
- Writes Flow collections to MySQL tables in real time
- Supports standard and delta updates for optimized performance
- Compatible with RDS, Cloud SQL, and Azure Database for MySQL
- Handles date-time normalization and time zone alignment automatically
- Enables secure connections via SSL or SSH tunneling
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.

Amazon DocumentDB to MySQL pricing estimate
Estimated monthly cost to move 800 GB from Amazon DocumentDB to MySQL is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon DocumentDB to MySQL each month.
GB
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Why pay more?
Move the same data for a fraction of the cost.



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What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Amazon DocumentDB to MySQL without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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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 Amazon DocumentDB to MySQL 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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DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.




































