Apache Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications
Apache Kafka Kafka 1 1 0 includes a number of significant new features Here is a summary of some notable changes: Kafka 1 1 0 includes significant improvements to the Kafka Controller that speed up controlled shutdown
Apache Kafka Apache Kafka Quickstart Everything you need to know about Kafka in 10 minutes (clicking the image will load a video from YouTube)
Apache Kafka Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption
Apache Kafka Apache Kafka® is a distributed streaming platform What exactly does that mean? A streaming platform has three key capabilities: Pub Sub Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system Stream Storage Store streams of records in a fault-tolerant durable way
Apache Kafka Here is a description of a few of the popular use cases for Apache Kafka® For an overview of a number of these areas in action, see this blog post Messaging Kafka works well as a replacement for a more traditional message broker
Apache Kafka Apache Kafka: A Distributed Streaming Platform Apache Kafka Toggle navigation Get Started Introduction Quickstart Use Cases Books Papers Videos Podcasts Docs Key Concepts APIs Configuration Design Implementation Operations Security Clients Kafka Connect
Apache Kafka Notably, in Kafka 4 0, Kafka Clients and Kafka Streams require Java 11, while Kafka Brokers, Connect, and Tools, now require Java 17 This release also updates the minimum supported client and broker versions ( KIP-896 ), and defines new baseline requirements for supported upgrade paths
Apache Kafka Apache Kafka is the most popular open-source stream-processing software for collecting, processing, storing, and analyzing data at scale Most known for its excellent performance, low latency, fault tolerance, and high throughput, it's capable of handling thousands of messages per second
Apache Kafka Kafka Streams is a client library of Kafka for real-time stream processing and analyzing data stored in Kafka brokers This quickstart example will demonstrate how to run a streaming application coded in this library