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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.
Apache ORC (Optimized Row Columnar) file format 4F 62 6A 01: Obj␁ 0 avro Apache Avro binary file format 53 45 51 36: SEQ6: 0 rc RCFile columnar file format 3C 72 6F 62 6C 6F 78 21 <roblox! 0 rbxl Roblox place file [71] 65 87 78 56: e‡xV: 0 p25 obt PhotoCap Object Templates 55 55 AA AA: UUªª: 0 pcv PhotoCap Vector 78 56 34: xV4: 0 pbt pdt ...
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 .
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
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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 ]
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