Confluent released KSQL: interactive, distributed streaming SQL engine for Apache Kafka. KSQL supports stream processing operations like aggregations, joins, windowing, and sessionization on topics in ...

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 ...

At the heart of an effective stream-based architecture is the right message-passing technology. An emerging class of message-passing software, including Apache Kafka and MapR Streams, supports ...

Apache Kafka architecture In this section, we will examine the architectural components and related terminology in Kafka. Basically, Kafka consists of the following components: ...

Three digital leaders talk about how their businesses are using Confluent Cloud – and they explain how other organizations can benefit, too.

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 ...

Using Kafka to distributed environment allows overcoming of the memory capacity that cannot be accommodated by one node. In particular, since image data can be stored in the file system, it is ...

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

The Apache Pulsar open-source, distributed messaging system is destined to be used in many real-time and big data programs.

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.