Kafka Streams - keshavbaweja-git/guides GitHub Wiki

Stream processing

State of a real time stream processing application needs to be saved in a state store -

• In memory
• Local file-system
• Remote database (network delay)

Performance & Fault tolerance are key requirements of a state store.

Stream processors are classified as

• Stateless processor
• Stateful processor (aggregation, join, window)