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REAL-TIME ETL & CDC

Stream into Amazon DynamoDB with your free account

Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 100+ Connectors
  • 2-5x less than batch ELT
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01. Select a source02. Transform in-flight03. Deliver to Amazon DynamoDB
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Amazon DynamoDB connector details

The Amazon DynamoDB materialization connector writes data from Estuary Flow collections into DynamoDB tables, enabling fast, scalable, and serverless data storage for real-time applications.

  • High-performance integration: Continuously materializes Flow 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 Flow collection has more than two keys or large documents, use a derivation to create a smaller, optimized collection before materializing to DynamoDB.

For more details about the Amazon DynamoDB connector, check out the documentation page.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to Amazon DynamoDB in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Amazon DynamoDB insights always reflect the latest data by connecting your databases to Amazon DynamoDB with change data capture.
  • Or connect critical SaaS apps to Amazon DynamoDB with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKAFKA
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
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