Apache Storm vs Samza: What are the differences?
Apache Storm: Distributed and fault-tolerant realtime computation. Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate; Samza: A distributed stream processing framework. It allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.
Apache Storm and Samza can be categorized as "Stream Processing" tools.
Some of the features offered by Apache Storm are:
- Storm integrates with the queueing and database technologies you already use
- Simple API
On the other hand, Samza provides the following key features:
- HIGH PERFORMANCE
- HORIZONTALLY SCALABLE
- EASY TO OPERATE
Apache Storm and Samza are both open source tools. It seems that Apache Storm with 5.82K GitHub stars and 3.95K forks on GitHub has more adoption than Samza with 569 GitHub stars and 244 GitHub forks.
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