Apache Hadoop和Apache Spark的性能比较

Amritpal Singh, A. Khamparia, A. K. Luhach
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引用次数: 8

摘要

“大数据”是一个广泛的术语,用于数据集,这是巨大的,传统的数据处理应用程序发现很难处理。Apache Spark和Apache Hadoop都是大数据家族的重要组成部分之一。一些研究人员将这两种框架视为竞争对手,但要比较这两种框架并不容易,因为它们在许多方面都是相同的,但也有一些领域两者的工作方式不同。尽管如此,Apache Hadoop和Apache Spark在不同的参数上是可比较的。本研究旨在比较这两种流行的框架,找出它们的优缺点和独特之处,并试图回答Spark是否可以取代hadoop。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance comparison of Apache Hadoop and Apache Spark
The term 'Big Data' is a broad term used for the data sets, which is enormous and traditional data processing applications find it hard to process. Both Apache Spark and Apache Hadoop are one of the significant parts of the big data family. Some of the researchers view both frameworks as the rivals but it is not that easy to compare these two as they perform numerous things same, but there are also some areas where both work differently. Still both Apache Hadoop and Apache Spark are comparable on different parameters. This research intends to compare these two popular frameworks and figure out their strengths, weaknesses, unique characteristics and try to answer whether Spark can replace hadoop or not.
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