Turning the database inside-out with Apache Samza | Confluent

This post introduces Apache Samza as a distributed stream processing framework that offers an alternative to traditional mutable database architectures. It argues for treating data as immutable facts and processing them as streams, drawing parallels to event sourcing. The core idea is to 'turn the database inside out' by leveraging a durable commit log (like Kafka) and stream processing tools to build simpler, more scalable, robust, and lower-latency applications.