Estuary
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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
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.

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.

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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 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.

See how you can integrate any source with Amazon DynamoDB:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
BigQuery logo
BigQuery
Snowflake Data Cloud logo
Snowflake Data Cloud

Don't see a connector?Request and our team will get back to you in 24 hours

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
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.