• Real-time data ingestion, aggregation and then loading the data into a data-warehouse like [[#Redshift]] or [[#EMR]] cluster.
• Replicated across 3-AZ, so high availability, and data durability.
• Auto-scaling
• Delay between data ingestion, and retrieval is typically less than a second.
• Multiple applications can consume data from the same stream and do different things in parallel, like for ex - processing and archiving.

Use cases

• Logs intake, processing
• Real-time metrics and reporting
• Real-time streaming
• Complex stream processing like DAG (Directed Acyclic Graphs) by ingesting from multiple [[#Kinesis#Data Streams]].