Apache Kafka vs Apache Samza
A side-by-side comparison of two Data Stream Processing AI agents — to help you pick the right one.
Apache Kafka
Apache Kafka is a distributed event streaming platform designed to handle high-throughput, real-time data feeds. It enables applications to publish, subscribe to, store, and process streams of records in a fault-tolerant manner.
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 Kafka | 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 Kafka: what it solves
It solves the challenge of reliably processing and managing large-scale, real-time data streams across distributed systems.
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.