Navigating The Streaming Data Landscape With Apache Kafka And Red Hat
Red Hat News, Friday, April 26th, 2024
In application development, you need efficient and reliable data streaming tools. Developers want seamless data flow, real-time processing, and scalability in their applications.
The most flexible and powerful solutions to this are Apache Kafka and Red Hat's kubernetes-native data streaming tool, streams for Apache Kafka (formerly known as AMQ streams). These technologies are related, but distinct, and in this article I'm going to explain what each one can bring to your development toolchain.
Why do developers rely on streaming tools?
Tools like streams for Apache Kafka help developers meet the demands of real-time data processing, event-driven architectures, and AI-driven applications. Insights gained from data streams can be used to deliver personalization for outstanding user experiences, to real-time payment processing, and even to detect fraud and manage the outbreak of a disease.