Stream data from Amazon DocumentDB to Amazon S3 Iceberg (delta updates)
Move data from Amazon DocumentDB to Amazon S3 Iceberg (delta updates) 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 Amazon S3 Iceberg (delta updates) 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 Amazon S3 Iceberg (delta updates) 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 Amazon S3 Iceberg (delta updates).
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

Amazon S3 Iceberg (delta updates) connector details
This connector materializes Flow collections into Apache Iceberg tables stored in Amazon S3. It batches delta updates inside Flow, converts them to Parquet files, and appends them to Iceberg tables on a schedule you configure, making it efficient for near real-time CDC-style updates.
- Materializes Flow collections into Iceberg tables on Amazon S3
- Designed for delta updates, enabling low-latency CDC replication
- Compatible with AWS Glue or Iceberg REST Catalogs for metadata management
- Configurable upload intervals to balance freshness and cost
- Supports Iceberg V2 column types for flexible schema handling

See how Prodege uses Amazon S3 Iceberg (delta updates)
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 Amazon S3 Iceberg (delta updates) pricing estimate
Estimated monthly cost to move 800 GB from Amazon DocumentDB to Amazon S3 Iceberg (delta updates) is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon DocumentDB to Amazon S3 Iceberg (delta updates) each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
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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 Amazon S3 Iceberg (delta updates) 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 Amazon S3 Iceberg (delta updates) 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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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.



































