- What is Kafka?
More Info. About Kafka
& Confluent Platform.
- What Is Kafka
Learn what Kafka is and how it
works for real-time stream ...
- Microservices & Kafka
Architecture, Concepts, & Benefits.
- Event-Driven Microservices
Confluent's event streaming
platform provides seamless ...
- What is Kafka?
Apache Kafka More than 80% of all Fortune 100 companies trust, and use 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.
Kafka was born near the Old Town Square in Prague, then part of the Austro-Hungarian Empire.His family were German-speaking middle-class Ashkenazi Jews.His father, Hermann Kafka (1854–1931), was the fourth child of Jakob Kafka, a shochet or ritual slaughterer in Osek, a Czech village with a large Jewish population located near Strakonice in southern Bohemia.
Feb 18, 2020 · Apache Kafka (Kafka) is an open source, distributed streaming platform that enables (among other things) the development of real-time, event-driven applications. So, what does that mean? Today, billions of data sources continuously generate streams of data records, including streams of events .
What is Apache Kafka? 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. A streaming platform needs to handle this constant influx of data, and ...
Kafka Streams (or Streams API) is a stream-processing library written in Java. It was added in the Kafka 0.10.0.0 release. The library allows for the development of stateful stream-processing applications that are scalable, elastic, and fully fault-tolerant. The main API is a stream-processing domain-specific language (DSL) that offers high ...
Apache Kafka is a distributed data streaming platform that can publish, subscribe to, store, and process streams of records in real time. It is designed to handle data streams from multiple sources and deliver them to multiple consumers. In short, it moves massive amounts of data—not just from point A to B, but from points A to Z and anywhere ...