Apache Hadoop is an open-source platform for storing and processing huge datasets with sizes ranging from gigabytes to petabytes of data.
By connecting to the NameNode via an API call, applications that gather data in multiple forms can deposit data into the Hadoop cluster. The NameNode, which is duplicated among DataNodes, keeps track of the file directory structure and placement of "chunks" for each file. Provide a MapReduce job made up of several maps and reduce jobs that run on the data in HDFS scattered over the DataNodes to execute a job to query the data.
But did you know that there are some great alternatives to Hadoop that you can consider? So, let’s take a look at some of the best Hadoop alternatives. By the end of this article, we’re sure that you’ll have in-depth information about the various options, their features, and the pricing structure.