Organizations need data-driven strategies to increase competitive advantage. Customers want to stream data or analyze in real-time to get valuable insights faster. To meet these big data needs, you need a massively scalable distributed event-driven messaging platform with multiple producers and consumers Apache Kafka and Azure Event Hubs provide such distributed platforms.
Kafka and Event Hubs are both designed to handle large-scale stream ingestion driven by real-time events. Conceptually, both are a distributed, partitioned, and replicated commit log service. Both use partitioned consumer model offering huge scalability for concurrent consumers. Both use a client-side cursor concept and scale very high workloads. Apache Kafka is a software that is installed and run. Azure Event Hubs is a fully managed service in the cloud. While Kafka is popular with its wide eco system and its on-premises and cloud presence, Event Hubs offers you the freedom of not having to manage servers or networks or worry about configuring brokers.
Today we are happy to marry both these powerful distributed streaming platforms to offer you Event Hubs for Kafka Ecosystem.
Read more about it in the Azure blog.