Streaming data platform Kafka uses a “publish-and-subscribe” model that links data sources to data receivers to enable constant and distributed monitoring.

Unlike traditional enterprise messaging software, Kafka is able to handle all the data flowing through a company, and do it in near real time. This is desperately needed as data volumes skyrocket.

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

The Apache Kafka distributed data streaming engine has finally hit version 1.0, a milestone that indicates the platform is finally ready for mainstream business. “Apache Kafka is playing a ...

Business intelligence platform provider Arcadia Data Inc. is bidding to democratize real-time streaming analytics with a new visual analytics tool for the Apache Kafka publish-subscribe messaging ...

Yet almost all modern data streaming stacks are built on-top of Apache Kafka, which was designed in 2011 to run in static data centers.

Apache Kafka is a strong choice to handle real-time data streaming as it ingests, persists and presents streams of data for consumption and use by individuals for analytics. Basically, Kafka operates ...

Aiven for Apache Flink (beta): a fully managed, fully open source streaming SQL engine for stateful stream processing over data streams. Karapace: a fully open source Kafka Schema Registry that ...

Kafka vs. Hadoop As popular as Apache Hadoop has been, the Hadoop workflow is simply too slow for the evolving needs of modern enterprises. Indeed, as Gorman tells it, “Businesses are realizing ...