This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
Alteryx can work with data in Hadoop in multiple ways, including HDFS, Hive, Impala, and Spark. Many of these offer multiple configuration options. The goal of this article is to present the various options available at a high level, note some performance observations between them, and encourage you to perform similar analyses to understand what works best in your environment.