What are the advantages of Spark?

1. Spark improves the data processing capability by as much as 10 to 100 times over the capabilities of MapReduce. It does this by using distributed memory computing and a Directed Acyclic Graph (DAG) engine.
2. Spark supports multiple development languages including Scala, Java, and Python. It supports dozens of highly abstract operators. This flexibility facilitates the construction of distributed data processing applications.
3. Spark provides one-stop data processing capability by working with SQL, Streaming, MLlib, and GraphX to form data processing stacks.
4. Spark can run in standalone, Mesos, or Yarn mode. It can access HDFS, HBase, and Hive data sources. It supports smooth swift from MapReduce. All of these functions allow Spark to easily fit into the Hadoop ecosystem.

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