Solace with Kafka

This blog post is part of a series of blog posts comparing Apache Kafka with Solace PubSub+ broker. The first introduced the basics, the second explained how their implementation of...

This blog post is part of a series of blog posts comparing Apache Kafka with Solace PubSub+ Event Broker. The first introduced the basics, the second explained how their implementation of...

We often get asked how Solace PubSub+ compares with alternative event streaming platforms and other technologies that help enterprises enable the adoption of event-driven architecture. From...

This blog post is the second part of a series comparing Apache Kafka with Solace’s PubSub+ Event Broker. In the first, my colleague Ush introduced the two very different internal architectures...

This is the first in a series of blog posts in which we'll compare Solace PubSub+ Event Broker with Apache Kafka. Our goal is to help you understand the salient differences between the platforms,...

An architect once told us that managing his Kafka event streams was like playing a game of data whack-a-mole. He couldn’t determine which event streams were available, which applications were...

One of the persistent challenges with a distributed architecture—like with Kafka—is the ability to design your streams for reuse and supportability. This is especially true for large enterprises,...

You’re out of control. I hate to be the bearer of bad news, but sometimes we need to hear the truth. You know Apache Kafka, you love Apache Kafka, but as your projects and architecture have...

Preface Over the last few years Apache Kafka has taken the world of analytics by storm, because it’s very good at its intended purpose of aggregating massive amounts of log data and streaming it...

Kafka is often used to aggregate massive amounts of log data and stream it to analytics engines and big data repositories. In a scenario of processing large amount of collected data, the analysis...