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  2. Apache Kudu - Wikipedia

    en.wikipedia.org/wiki/Apache_Kudu

    It is compatible with most of the data processing frameworks in the Hadoop environment. It provides completeness to Hadoop's storage layer to enable fast analytics on fast data. [3] The open source project to build Apache Kudu began as internal project at Cloudera. [4] The first version Apache Kudu 1.0 was released 19 September 2016. [5]

  3. Apache Parquet - Wikipedia

    en.wikipedia.org/wiki/Apache_Parquet

    The open-source project to build Apache Parquet began as a joint effort between Twitter [3] and Cloudera. [4] Parquet was designed as an improvement on the Trevni columnar storage format created by Doug Cutting, the creator of Hadoop. The first version, Apache Parquet 1.0, was released in July 2013. Since April 27, 2015, Apache Parquet has been ...

  4. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.

  5. Hortonworks - Wikipedia

    en.wikipedia.org/wiki/Hortonworks

    The company employed contributors to the open source software project Apache Hadoop. [5] The Hortonworks Data Platform (HDP) product, first released in June 2012, [6] included Apache Hadoop and was used for storing, processing, and analyzing large volumes of data. The platform was designed to deal with data from many sources and formats.

  6. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

  7. Apache Pig - Wikipedia

    en.wikipedia.org/wiki/Apache_Pig

    Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2] Pig Latin abstracts the programming from the Java MapReduce idiom into a notation which makes MapReduce programming high ...

  8. Comparison of Java virtual machines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Java_virtual...

    HotSpot, Java SE embedded edition Sun Microsystems, Oracle: 27 April 1999 ? ? Commercial Proprietary [5] HotSpot, Zero port Gary Benson [6]? ? ? Free GPL version 2 only IKVM.NET: Jeroen Frijters 28 June 2004 7.0.4335.0 5 December 2011 Free zlib License [7] JAmiga: Peter Werno, Joakim Nordström 19 May 2005 [8] 1.2 6 January 2014 Free GPL ...

  9. Apache Impala - Wikipedia

    en.wikipedia.org/wiki/Apache_Impala

    Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software. Impala is promoted for analysts and data scientists to perform analytics on data stored in Hadoop via SQL or business intelligence tools. The result ...