apache spark

from spark site

Apache Spark™ is a fast and general engine for large-scale data processing

1. speed

   • run programs up to 100x faster than hadoop mapreduce in memory, or 10x faster on disk

   • spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing

2. ease of use

   • write apps quickly in java, scala or python

   • spark offers over 80 high-level operators that make it easy to build parallel apps

   • and you can use it interactively from the scala and python shells

3. generality

   • combine sql, streaming, and complex analytics

   • spark powers a stack of high-level tools including Spark SQL, MLlib for machine learning, GraphX, and Spark Streaming

   • you can combine these libraries seamlessly in the same app

           +-----------+ +-----------+ +-----------+ +-----------+
           |           | |           | |           | |           |
           |   spark   | | spark     | |  MLlib    | |  GraphX   |
           |   sql     | | streaming | |  machine  | |  graph    |
           |           | |           | |  learning | |           |
           |           | |           | |           | |           |
           +-----------+ +-----------+ +-----------+ +-----------+
     
           +-----------------------------------------------------+
           |                                                     |
           |                 apache       spark                  |
           |                                                     |
           +-----------------------------------------------------+
     

4. runs everywhere

   • runs on

     1. hadoop

     2. mesos

     3. standalone

     4. in the cloud

   • it can access diverse data sources including

     1. hdfs

     2. cassandra

     3. hbase

     4. s3

   • you can run spark readily using its

     1. standalone cluster mode

     2. on ec2

     3. or run it on hadoop yarn or apache mesos

     4. it can read from hdfs, hbase, cassandra, and any hadoop data source