
Stream into Amazon DynamoDB with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon DynamoDB using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Amazon DynamoDB connector details
The Amazon DynamoDB materialization connector writes data from Estuary collections into DynamoDB tables, enabling fast, scalable, and serverless data storage for real-time applications.
- High-performance integration: Continuously materializes Estuary collections into DynamoDB tables for instant access to current data.
- Flexible configuration: Automatically maps collection keys to DynamoDB partition and sort keys, with support for custom projections.
- Collection constraints: Supports up to two collection keys per table, with a 400KB item size limit to maintain DynamoDB efficiency.
- Secure access: Uses AWS access key and secret access key credentials, following AWS IAM best practices for permission control.
- Custom endpoint support: Optionally connects to DynamoDB-compatible APIs via custom endpoint configuration.
- Simple setup: Requires only the AWS region, access credentials, and target table name to start materializing.
💡 Tip: If your Estuary collection has more than two keys or large documents, use a derivation to create a smaller, optimized collection before materializing to DynamoDB.
How to connect your data source to Amazon DynamoDB in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Amazon DynamoDB
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon DynamoDB, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon DynamoDB through Estuary.
- Transform and route data through Estuary collections before delivering it to Amazon DynamoDB.
See what you can connect to Amazon DynamoDB:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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