Apache Samza

A distributed stream processing framework

Free

Description

Apache Samza is a powerful distributed stream processing framework designed to build stateful applications that handle real-time data from various sources, including Apache Kafka. It enables developers to process and analyze large volumes of streaming data efficiently. The framework is battle-tested at scale, ensuring reliability and robustness for demanding data processing tasks.

Samza provides flexible deployment options, allowing it to run on YARN, Kubernetes, or as a standalone library. It boasts high performance with low latencies and high throughput for instant data analysis. Its architecture is horizontally scalable, capable of managing terabytes of state, and features a pluggable design for easy integration with numerous data sources and storage systems. With rich APIs and the ability to run the same code for both batch and streaming data, Samza simplifies the development of complex data processing pipelines.

Key Features

High performance: Provides extremely low latencies and high throughput for instant data analysis.
Horizontally scalable: Scales to several terabytes of state with features like incremental checkpoints and host-affinity.
Easy to Operate: Offers flexible deployment options including YARN, Kubernetes, or standalone.
Powerful APIs: Provides rich APIs including low-level, Streams DSL, Samza SQL, and Apache BEAM.
Write once, Run Anywhere: Supports running the same code for both batch and streaming data processing.
Pluggable architecture: Integrates with various sources like Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores, and ElasticSearch.