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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.
Kafka is a distributed system consisting of servers and clients that communicate via a high-performance TCP network protocol . It can be deployed on bare-metal hardware, virtual machines, and containers in on-premise as well as cloud environments.
What is Apache Kafka. Apache Kafka is a software platform which is based on a distributed streaming process. It is a publish-subscribe messaging system which let exchanging of data between applications, servers, and processors as well. Apache Kafka was originally developed by LinkedIn, and
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 distributed data store optimized for ingesting and processing streaming data in real-time. Streaming data is data that is continuously generated by thousands of data sources, which typically send the data records in simultaneously.
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.
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
May 11, 2024 · What Is Kafka? Kafka is an open-source stream processing platform developed by the Apache Software Foundation.
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. Real-Time.
Apache Kafka is an open-source distributed event-streaming framework developed at LinkedIn by a team that included Jay Kreps, Jun Rao, and Neha Narkhede.
