When You Should Use Apache Kafka Apache Kafka is generally a smart choice for use cases that involve microservices and service-oriented architecture. Kafka can also serve as a highly effective work ...

In this section, we will examine the architectural components and related terminology in Kafka. Basically, Kafka consists of the following components: Kafka Cluster—a collection of one or more servers ...

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 ...

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.

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 ...

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.

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

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 ...

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 ...

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 ...