Real-time data streaming with Apache Kafka is very efficient as it enables integration and in-stream analytics on the data as it moves through the stream. It’s clear that CDC is seen as the optimal ...

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

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 ...

Learn More Aiven, a cloud-data platform based in Helsinki, has fleshed out an open-source ecosystem for Apache Kafka, a popular event-streaming platform.

StreamNative, a company founded by the original developers of Apache Pulsar and Apache BookKeeper, just released a report comparing Pulsar to Kafka regarding performance benchmarks. The company ...

Apache Kafka is an open source, Java/Scala distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Heavily rooted in the Kafka data streaming standard that was originally developed by LinkedIn engineers nearly 20 years ago, Confluent was once a hot company that went public in 2021 at $36.

Confluent, the company built on the open source Apache Kafka project, announced a new streaming data visual design tool today.

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.

Hortonworks Inc. today added improved support for Apache Kafka to its Hortonworks DataPlane Service, underlining the growing importance of streaming sources to its big-data customers. Launched ...