1. Apache ORC
Initial release 20 February 2013[1]
Stable release 1.5.6 / 27 June 2019[2]
Operating system Cross-platform
Type Database
management system
License Apache License 2.0
Website https://orc.apache.org/
Apache ORC
Apache ORC (Optimized Row Columnar) is a free and open-source
column-oriented data storage format of the Apache Hadoop ecosystem. It
is similar to the other columnar-storage file formats available in the
Hadoop ecosystem such as RCFile and Parquet. It is compatible with
most of the data processing frameworks in the Hadoop environment.
In February 2013, the Optimized Row Columnar (ORC) file format was
announced by Hortonworks in collaboration with Facebook.[3] A month
later, the Apache Parquet format was announced, developed by Cloudera
and Twitter.[4]
Apache ORC is comparable to RCFile and Parquet file formats---all
three fall under the category of columnar data storage within the Hadoop
ecosystem. They all have better compression and encoding with improved read performance at the cost of slower writes.
Apache Hive
Apache NiFi
Pig (programming tool)
Apache Spark
Presto (SQL query engine)
1. "The Stinger Initiative: Making Apache Hive 100 Times Faster" (https://hortonworks.com/blog/100x-faster-hive/).
Retrieved Jan 1, 2019.
2. "Releases" (https://orc.apache.org/docs/releases.html).
3. Alan Gates (February 20, 2013). "The Stinger Initiative: Making Apache Hive 100 Times Faster" (https://hortonwo
rks.com/blog/100x-faster-hive/). Hortonworks blog. Retrieved Dec 31, 2018.
4. Justin Kestelyn (March 13, 2013). "Introducing Parquet: Efficient Columnar Storage for Apache Hadoop" (https://
web.archive.org/web/20160919221247/http://blog.cloudera.com/blog/2013/03/introducing-parquet-columnar-stor
age-for-apache-hadoop/). Cloudera blog. Archived from the original (http://blog.cloudera.com/blog/2013/03/introd
ucing-parquet-columnar-storage-for-apache-hadoop/) on September 19, 2016. Retrieved May 4, 2017.
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Comparison
See also
References