These days, massively scalable pub/sub messaging is virtually synonymous with Apache Kafka. Apache Kafka continues to be the rock-solid, open-source, go-to choice for distributed streaming ...

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

Having been thrust into the spotlight by IBM last week, Apache Kafka is getting so much attention that it’s threatening to surpass Apache Spark as Big Data’s tech du jour and become a ...

That’s where Apache Kafka comes in. Originally developed at LinkedIn, Kafka is an open-source system for managing real-time streams of data from websites, applications and sensors.

How Does Kafka Compare to Flume? Often mentioned in the same breath as Kafka is Flume, another open-source project from the Apache Foundation. So how do these two stream processing frameworks compare?

Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform ...

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular ...

Apache Kafka is an open source, distributed, scalable, high-performance, publish-subscribe message broker. It is a great choice for building systems capable of processing high volumes of data.

Apache Cassandra, Apache Kafka, Apache Spark, and Elasticsearch offer a particularly complementary set of technologies that make sense for organizations to utilize together, and which offer freedom ...

Today on the InfoQ Podcast, Wes Reisz speaks withColin McCabe about Apache Kafka’s KRaft mode. KRaft mode is the new operating mode of Apache Kafka released with 3.3.1 and is the new target ...