Samza is a distributed stream processing framework designed for real-time data processing from various sources, including Apache Kafka. It supports stateful application development, allowing users to build applications that can handle large volumes of data with extremely low latencies. The framework is battle-tested and can scale to several terabytes of state, featuring capabilities such as incremental checkpoints and host-affinity to optimize performance. Samza's flexible deployment options enable it to run on YARN, Kubernetes, or as a standalone library, making it adaptable to different operational environments.

With the ability to process both batch and streaming data using the same codebase, Samza simplifies the development process for data applications. It integrates seamlessly with multiple sources, including HDFS, AWS Kinesis, Azure Event Hubs, K-V stores, and Elasticsearch. This versatility makes it suitable for a wide range of users, including small businesses, enterprises, and government organizations, ensuring that it meets diverse operational requirements.