Solace with Kafka
Solace makes it easier to connect your Kafka-based apps with the rest of your enterprise using a simple, dynamic and open event mesh.
Solace PubSub+ vs Kafka: High Availability
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...
Solace PubSub+ vs Kafka: Filtering
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...
Comparing event streaming platforms and technologies for event-driven architecture
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...
Solace PubSub+ vs Kafka: Implementation of the Publish-Subscribe Messaging Pattern
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...
Solace PubSub+ vs Kafka: The Basics
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,...
Event Topics: Kafka vs Solace Implementation
A video demonstrating how PubSub+ topics and filtering compares to Kafka's flat topic structure and the benefits of flexible event topics in Solace PubSub+.
Event Management for Apache Kafka
Solace Shines Light on Kafka Event Streams | 451 Research
Solace has recently delivered PubSub+ Event Porta for Kafka to help users manage their event-driven architecture through event discovery, visualization, and management.
PubSub+ Event Portal for Kafka is Now Generally Available!
Stop Playing Whack-a-Mole with Your Kafka Event Streams!
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...
Five Reasons to Extend Apache Kafka With An Enterprise Message Broker - Ventana Research
Ventana Research, guided by a team of industry analysts & professionals, conducted research on why organizations should extend Apache Kafka with an enterprise message broker.
Using PubSub+ Event Portal for Support and Visualization of your Kafka Streams
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,...
Gaining Visibility and Control for Apache Kafka Event Streams
Ventana Research shares ways to gain visibility and control for Apache Kafka event streams with Solace PubSub+
Demo: How to discover, visualize, catalog, share and reuse your Kafka Streams
PubSub+ Event Portal for Apache Kafka Intro Video
PubSub+ Event Portal makes it easy to discover, visualize, catalog, and share your Apache Kafka event streams including those from Confluent and Amazon MSK
Why Architects Need Tools for Apache Kafka Service Discovery, Auditing, and Topology Visualization
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...
PubSub+ Event Portal for Apache Kafka Datasheet
Why You Need to Look Beyond Kafka for Operational Use Cases, Part 4: Streaming with Dynamic Event Routing
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...
Solace vs Apache Kafka Comparison Datasheet
A quick look at the differences between Solace and Kafka and how they address common data movement use cases.
How the PubSub+ Connector for Kafka Enables Fine-Grained Filtering, Protocol Conversion, and Scalable Delivery
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...