Data streaming is a new software category. It has grown from niche adoption to becoming a fundamental part of modern…
Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as the foundation for cloud services,…
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth…
Apache Kafka became the de facto standard for data streaming. Various cloud offerings emerged and improved in the last years.…
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.…
Comparing JMS-based message queue (MQ) infrastructures and Apache Kafka-based data streaming is a widespread topic. Unfortunately, the battle is an…
This post explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around…
Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the…
Real-time beats slow data in most use cases across industries. The rise of event-driven architectures and data in motion powered…
Apache Kafka became the de facto standard for event streaming. Various vendors added Kafka and related tooling to their offerings…