Stream data from Amazon DynamoDB to Apache Iceberg
Move data from Amazon DynamoDB to Apache Iceberg in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Amazon DynamoDB with Apache Iceberg in 3 simple steps
Connect Amazon DynamoDB as your data source
Set up a source connector for Amazon DynamoDB 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 Apache Iceberg 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 Apache Iceberg.
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 DynamoDB connector details
The Estuary DynamoDB connector streams real-time data from Amazon DynamoDB tables using DynamoDB Streams. Once streams are enabled on your tables, the connector continuously captures inserts, updates, and deletes into Flow collections for seamless downstream processing. It supports secure AWS authentication, scalable backfills, and configurable read capacity for efficient ingestion at any scale.
- Continuous CDC streaming via DynamoDB Streams
- Captures new and old images for full change context
- Works with AWS IAM-based authentication
- Configurable RCU allocation for controlled backfill performance
- Supports multiple tables and regions within a single setup

Apache Iceberg connector details
The Apache Iceberg connector materializes Flow collections into Iceberg tables for large-scale analytics and lakehouse architectures. It orchestrates Spark jobs on AWS EMR Serverless (or another configured compute backend) to merge incoming changes, ensuring tables stay continuously up to date.
- Materializes Flow collections into Apache Iceberg tables for open table formats
- Orchestrates Spark jobs on AWS EMR Serverless to process updates
- Supports hard deletes for accurate CDC replication or soft deletes for cost savings
- Compatible with AWS Glue, S3 Tables, and Snowflake Open Catalogs via REST APIs
- Configurable sync schedules to balance performance and cost
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 DynamoDB to Apache Iceberg pricing estimate
Estimated monthly cost to move 800 GB from Amazon DynamoDB to Apache Iceberg is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon DynamoDB to Apache Iceberg each month.
GB
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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 DynamoDB to Apache Iceberg 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 DynamoDB to Apache Iceberg 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.






































