Confluent Simplifies Stream Processing Development With Kafka Streams

Date 2016/5/24 11:52:59 | Topic: Product News

Confluent, founded by the creators of Apache Kafka, has announced the general availability of open source Confluent Platform 3.0. The new release introduces Kafka Streams, a powerful, lightweight solution to real-time processing designed to power a generation of highly responsive applications. With Kafka Streams, developers can quickly build core streaming applications such as fraud and security monitoring, Internet of Things (IoT) operations and machine monitoring, with concise code that is distributed and reliable.

Introducing Kafka Steams -- What Developers Need to Know

 

A simple solution to real-time processing, Kafka Streams is a stream processing layer that provides a new, native streaming development environment for Kafka. Developers will be able to leverage an easy-to-use library for building distributed stream processing apps using Kafka.

Kafka Streams is:
* Powerful -- Supports stateful and stateless processing; distributed processing and fault tolerant; no downtime rolling deployments
* Lightweight -- No dedicated cluster required; no message translation layer; no external dependencies
* Real-Time -- Allows for late arrival of data; processes one event at a time; doesn't microbatch messages like other stream processing solutions; windowing with out-of-order data





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