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What is Gzip?

GNU Gzip is a popular data compression utility that was initially created by Jean-loup Gailly for the GNU project, while the component for decompressing was developed by Mark Adler. This tool was introduced as a substitute for the older compress program, which faced limitations due to the Unisys and IBM patents on the LZW algorithm, rendering it impractical for many users. In addition to its status as a viable alternative, gzip boasts enhanced compression efficiency, making it even more appealing. Users can obtain stable source releases from the main GNU download server (accessible via HTTPS, HTTP, and FTP) as well as from various mirrors, with a suggestion to prefer mirrors whenever feasible. Gzip applies Lempel-Ziv coding, specifically LZ77, to compress the designated files. Generally, files are converted to include a ‘.gz’ extension, while their original ownership modes, access rights, and modification timestamps remain intact. However, for certain operating systems like MSDOS, OS/2 FAT, and Atari, the common extension used is ‘z’. When no specific files are indicated for compression, the utility can process data from standard input and output the results accordingly, which highlights its adaptability across different environments. This adaptability not only increases its utility but also solidifies gzip's reputation as an essential tool for efficient data handling and management tasks.

What is Apache Parquet?

Parquet was created to offer the advantages of efficient and compressed columnar data formats across all initiatives within the Hadoop ecosystem. It takes into account complex nested data structures and utilizes the record shredding and assembly method described in the Dremel paper, which we consider to be a superior approach compared to just flattening nested namespaces. This format is specifically designed for maximum compression and encoding efficiency, with numerous projects demonstrating the substantial performance gains that can result from the effective use of these strategies. Parquet allows users to specify compression methods at the individual column level and is built to accommodate new encoding technologies as they arise and become accessible. Additionally, Parquet is crafted for widespread applicability, welcoming a broad spectrum of data processing frameworks within the Hadoop ecosystem without showing bias toward any particular one. By fostering interoperability and versatility, Parquet seeks to enable all users to fully harness its capabilities, enhancing their data processing tasks in various contexts. Ultimately, this commitment to inclusivity ensures that Parquet remains a valuable asset for a multitude of data-centric applications.

Media

Media

Integrations Supported

Amazon Data Firehose
Autymate
CSViewer
File Manager Pro
Flyte
Gravity Data
Hadoop
IBM Db2 Event Store
MLJAR Studio
Meltano
MiXplorer Silver
PI.EXCHANGE
PuppyGraph
Resec
SDF
Semarchy xDI
Tad
Tenzir
Timbr.ai
Unzip One

Integrations Supported

Amazon Data Firehose
Autymate
CSViewer
File Manager Pro
Flyte
Gravity Data
Hadoop
IBM Db2 Event Store
MLJAR Studio
Meltano
MiXplorer Silver
PI.EXCHANGE
PuppyGraph
Resec
SDF
Semarchy xDI
Tad
Tenzir
Timbr.ai
Unzip One

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GNU Operating System

Company Location

United States

Company Website

www.gnu.org/software/gzip/

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

parquet.apache.org

Categories and Features

Categories and Features

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