Apache ORC
Column-oriented data storage format
From Wikipedia, the free encyclopedia
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 | |
|---|---|
 | |
| Initial release | 20 February 2013[1] |
| Stable release | 2.1.2
/ 6 May 2025[2] |
| Operating system | Cross-platform |
| Type | Database management system |
| License | Apache License 2.0 |
| Website | orc |
| Repository | ORC Repository |
In February 2013, the Optimized Row Columnar (ORC) file format was announced by Hortonworks in collaboration with Facebook.[1] A calendar month later, the Apache Parquet format was announced, developed by Cloudera and Twitter.[4]
Apache ORC format is widely supported including Amazon Web Services' Glue[5],Google Cloud Platform's BigQuery,[6] and Pandas (software).[7]
History
| Version | Original release date | Latest version | Release date |
|---|---|---|---|
| 1.0 | 2016-01-25 | 1.0.0 | 2016-01-25 |
| 1.1 | 2016-06-10 | 1.1.2 | 2016-07-08 |
| 1.2 | 2016-08-25 | 1.2.3 | 2016-12-12 |
| 1.3 | 2017-01-23 | 1.3.4 | 2017-10-16 |
| 1.4 | 2017-05-08 | 1.4.5 | 2019-12-09 |
| 1.5 | 2018-05-14 | 1.5.13 | 2021-09-15 |
| 1.6 | 2019-09-03 | 1.6.14 | 2022-04-14 |
| 1.7 | 2021-09-15 | 1.7.8 | 2023-01-21 |
| 1.8 | 2022-09-03 | 1.8.9 | 2025-05-06 |
| 1.9 | 2023-06-28 | 1.9.6 | 2025-05-06 |
| 2.0 | 2024-03-08 | 2.0.5 | 2025-05-06 |
| 2.1 | 2025-01-09 | 2.1.2 | 2025-05-06 |
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