Apache Hadoop：它是一组开源软件实用程序，有助于使用多台计算机网络来解决涉及大量数据和计算的问题。它提供了一个使用 MapReduce 编程模型对大数据进行分布式存储和处理的软件框架。
Apache Storm：它是一个分布式流处理计算框架，主要用 Clojure 编程语言编写。该项目最初由 Nathan Marz 和 BackType 团队创建，在被 Twitter 收购后开源。
下表列出了 Apache Hadoop 和 Apache Storm 之间的差异：
| Features | Apache Hadoop | Apache Storm |
|---|---|---|
| Processing | Distributed batch processing which uses MapReduce | Distributed real-time data processing which uses DAGs |
| Latency | High Latency i.e slow computation | Low Latency i.e fast computation |
| Written Language | Whole frame work is written in Java | Frame work is written in Clojure and Java |
| Streaming processing | It is State-ful streaming processing | It is State-less streaming processing |
| Setup | Easy to setup but operating cluster is hard | Easy to use |
| Data streaming | Data is dynamic and continuously streamed | Data is static and nonvolatile i.e data is persistence |
| Speed | Slow | Fast |
| Use cases | It is used in Twitter, Navisite, Wego etc | It is used in Black Box Data, Search Engine Data etc |