Apache Flink vs Apache Samza
A side-by-side comparison of two Data Stream Processing AI agents — to help you pick the right one.
Apache Flink
Apache Flink is a distributed stream processing framework designed for high-throughput, low-latency data processing. It supports both event-time processing and stateful computations, enabling real-time analytics and complex event-driven applications. Flink can also handle batch processing as a special case of stream processing.
Apache Samza
Apache Samza is a distributed stream processing framework designed to handle high-volume, real-time data streams. It integrates with Apache Kafka for messaging and leverages Apache Hadoop YARN for fault tolerance, resource management, and security. The framework is optimized for stateful processing and supports scalable, low-latency data pipelines.
| Apache Flink | Apache Samza | |
|---|---|---|
| Category | Data Stream Processing | Data Stream Processing |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Skill level | Intermediate | Intermediate |
| Pricing | Open Source | Open Source |
Apache Flink: what it solves
It enables real-time data processing at scale, solving the challenge of analyzing and acting on streaming data with low latency and high accuracy.
Apache Samza: what it solves
It enables real-time processing of large-scale data streams with fault tolerance and efficient resource utilization, eliminating the need for batch processing in time-sensitive applications.