DynamoDB – Streams

• An ordered stream of item-level changes (create, update, delete) in a DynamoDB table.

• Enables real-time and near-real-time event-driven architectures.

Use Cases

• Send notifications or emails when items change.

• Real-time analytics and dashboards.

• Populate derivative or aggregate tables.

• Cross-region data replication.

• Trigger AWS Lambda functions on updates.

Stream Types

• 24-hour retention.

• Limited concurrent consumers.

• Process with Lambda triggers or Kinesis Adapter.

• Up to 1-year retention.

• Supports high fan-out and many consumers.

• Integrates with Lambda, Kinesis Data Analytics, Firehose, Glue Streaming ETL.

Use DynamoDB Streams for lightweight triggers.

Use Kinesis for complex or high-volume streaming pipelines.

Architecture & Integrations

• Lambda – Direct triggers for lightweight processing.

• Kinesis Client Library (KCL) – Advanced processing via Kinesis Adapter.

• Kinesis Data Firehose – Deliver to S3, Redshift, OpenSearch.

• Amazon SNS – Notifications or fan-out messaging.

• Filter and transform stream data.

• Fan-out to multiple systems.

• Real-time enrichment before storage.