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  2. Apache ORC - Wikipedia

    en.wikipedia.org/wiki/Apache_ORC

    Apache ORC (Optimized Row Columnar) is a free and open-source column-oriented data storage format. [3] It is similar to the other columnar-storage file formats available in the Hadoop ecosystem such as RCFile and Parquet. It is used by most of the data processing frameworks Apache Spark, Apache Hive, Apache Flink, and Apache Hadoop.

  3. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    The two most common representations are column-oriented (columnar format) and row-oriented (row format). [ 1 ] [ 2 ] The choice of data orientation is a trade-off and an architectural decision in databases , query engines, and numerical simulations. [ 1 ]

  4. RCFile - Wikipedia

    en.wikipedia.org/wiki/RCFile

    To serialize the table, RCFile partitions this table first horizontally and then vertically, instead of only partitioning the table horizontally like the row-oriented DBMS (row-store). The horizontal partitioning will first partition the table into multiple row groups based on the row-group size, which is a user-specified value determining the ...

  5. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    The first four file formats supported in Hive were plain text, [13] sequence file, optimized row columnar (ORC) format [14] [15] and RCFile. [ 16 ] [ 17 ] Apache Parquet can be read via plugin in versions later than 0.10 and natively starting at 0.13.

  6. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    Open-source (since 2004) columnar Relational DBMS pioneer PostgreSQL cstore fdw, [1] vops [2] C cstore_fdw uses ORC format StarRocks Java & C++ Open source, unified analytics platform for batch and real-time analytics. Supports and extensions available from CelerData. VictoriaMetrics Go Time series database

  7. Apache Parquet - Wikipedia

    en.wikipedia.org/wiki/Apache_Parquet

    Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.

  8. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)

  9. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...