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.

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 ...

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 ...

Events offer a Goldilocks-style approach for real-time APIs. Apache Kafka offers a scalable event streaming platform with which you can build applications around the powerful concept of events.

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

Customers use Apache Kafka to capture and analyze real-time data streams from a range of sources, including IoT devices, website clickstreams, financial systems, and database logs.

Most organizations use Apache Kafka to share data between cloud platforms and on-premises data centers, but connecting different clusters of information is a very tricky job because it requires ...

As a Confluent Partner Program member, VoltDB provides its customers who use Apache Kafka and Confluent to develop robust data connectivity based on Kafka’s Connect API, easily build stream processing ...

Thousands of organizations use Apache Kafka, including internet giants, car manufacturers, and stock exchanges, and has more than 5 million unique lifetime downloads.

VoltDB's Sink Connector ingests data from Apache Kafka topics and streams it into VoltDB for real-time analytics and action on the data, enabling organizations to derive value from both real-time data ...