Kafka
Search results
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. Above is a snapshot of the number of top-ten largest companies using Kafka, per-industry.
Feb 8, 2018 · Apache Kafka is a publish-subscribe messaging system. A messaging system let you send messages between processes, applications, and servers. Broadly Speaking, Apache Kafka is a software where topics (A topic might be a category) can be defined and further processed.
Apache Kafka is a data streaming system used for real-time data pipelines, data integration, and event-driven systems. Learn how Kafka works with examples and use cases.
Apache Kafka Tutorial with Apache Kafka Introduction, What is Kafka, Kafka Topics, Kafka Topic Replication, Kafka Fundamentals, Kafka Architecture, Kafka Installation, Kafka Tools, Kafka Application etc.
Apache Kafka also works with external stream processing systems such as Apache Apex, Apache Beam, Apache Flink, Apache Spark, Apache Storm, and Apache NiFi. Kafka runs on a cluster of one or more servers (called brokers), and the partitions of all topics are distributed across the cluster nodes.
Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.
To process streams of events as they occur or retrospectively. And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud.
Apache Kafka is a distributed data streaming platform used for real-time data pipelines, integration, stream processing, and more. Learn how Kafka works and how it's used with examples.
Feb 27, 2024 · Kafka 3.0.0 includes a number of significant new features. Here is a summary of some notable changes: The deprecation of support for Java 8 and Scala 2.12; Kafka Raft support for snapshots of the metadata topic and other improvements in the self-managed quorum; Stronger delivery guarantees for the Kafka producer enabled by default
May 11, 2024 · As we have found out, Kafka uses topic partitions to allow parallel message delivery and load balancing of consumers. But Kafka itself must be scalable and fault-tolerant. So we typically do not use a single Kafka Broker, but a Cluster of multiple brokers.
