Apache Kafka
Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now
28. January 2026
Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now
Stream processing has existed for decades. The adoption grows with open source frameworks like Apache Kafka and Flink in combination with fully managed cloud services.
Apache Kafka became the de facto standard for event streaming. Various vendors added Kafka and related tooling to their offerings or provide a Kafka cloud
Pulsar vs Kafka – which one is better? This blog post explores pros and cons, popular myths, and non-technical criteria to find the best tool
Event Streaming with Apache Kafka and API Management / API Gateway solutions (Apigee, Mulesoft Anypoint, Kong, TIBCO Mashery, etc.) are complementary, not competitive! Read this
This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues
KSQL – The Open Source Streaming SQL Engine for Apache Kafka => Slides from my talk at Big Data Spain 2018 are online. Check it
Read why enterprises leverage the open source ecosystem of Apache Kafka for successful integration of different legacy and modern applications instead of ESB, ETL or
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc. to add AI. Embed Kafka
After three great years at TIBCO Software, I move back to open source and join Confluent, the company behind the open source project Apache Kafka
