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 ...

What are the most important things you learned from building Apache Kafka? This question was originally answered on Quora by Jay Kreps.

Kafka Streams is a stream processing engine that sits atop a Kafka “substrate” to provide basic capabilities upon streaming data. Narkhede describes Kafka Streams as a lightweight library of functions ...

Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know.

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be ...

Instaclustr’s Slater: Apache Kafka is fairly easy to get started with – but understanding its deeper nuances and capturing all that it has to offer can be a heck of a challenge.

Data startup Confluent has Silicon Valley buzzing about its Apache Kafka software. Here's 3 reasons why its cofounders were able to successfully incubate their idea while at LinkedIn.

The company founded by Apache Kafka's creators introduces infinite data retention on its Confluent Cloud platform. As a result, the company is pushing the event streaming data technology as a ...