Compare - Samza VS Apache Storm
Here’s the difference between Samza and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Samza
Apache Samza is an open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala and Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn.
About Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache 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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | Open source | SaaS |
| Business Model | Open Source | Open Source |
| Pricing | Not Available | Freemium |
| Location | Wakefield, Massachusetts, U.S. | US |
| Companies using it | ||
| Contact info |
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