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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 .
RCFile has been adopted in Apache Hive (since v0.4), [5] which is an open source data store system running on top of Hadoop and is being widely used in various companies around the world, [6] including several Internet services, such as Facebook, Taobao, and Netflix. [7]
Airavata: a distributed system software framework to manage simple to composite applications with complex execution and workflow patterns on diverse computational resources; Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge
The open-source project to build Apache Parquet began as a joint effort between Twitter [3] and Cloudera. [4] Parquet was designed as an improvement on the Trevni columnar storage format created by Doug Cutting, the creator of Hadoop. The first version, Apache Parquet 1.0, was released in July 2013. Since April 27, 2015, Apache Parquet has been ...
OER: 1, 2, or 4 octets (either signed or unsigned) if the integer type has a finite range that fits in that number of octets; a variable number of octets otherwise REAL : base-10 real values are represented as character strings in ISO 6093 format;
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 ...
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]
Implements the PSGI specification within Apache mod_python: Version 2.0 and newer: Third-party module: Gregory Trubetskoy et al. Apache License, Version 2.0: Allows usage of Python within Apache [104] mod_proxy: Version 1.1 and newer: Stable Extension: Apache Software Foundation: Apache License, Version 2.0: mod_proxy_connect: Version 2.0 and ...