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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.
Over the following years, other Hadoop data formats also became popular. In February 2013, an Optimized Row Columnar (ORC) file format was announced by Hortonworks. [13] A month later, the Apache Parquet format was announced, developed by Cloudera and Twitter. [14]
ORC: 0 orc 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 ...
Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon Redshift and Snowflake. Predominant examples of row-oriented formats include CSV, formats used in most relational databases , the in-memory format of Apache Spark , and Apache Avro .
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.
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
Apache Parquet and Apache ORC are popular examples of on-disk columnar data formats. Arrow is designed as a complement to these formats for processing data in-memory. [11] The hardware resource engineering trade-offs for in-memory processing vary from those associated with on-disk storage. [12]