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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Bigtop is a project under the Apache Foundation designed for Infrastructure Engineers and Data Scientists who need a thorough solution for packaging, testing, and configuring leading open source big data technologies. It encompasses a variety of components and projects, such as Hadoop, HBase, and Spark, among others. By packaging Hadoop RPMs and DEBs, Bigtop simplifies the management and maintenance of Hadoop clusters. Additionally, it offers an integrated smoke testing framework, complete with a collection of over 50 test files to ensure reliability. For those looking to deploy Hadoop from scratch, Bigtop provides vagrant recipes, raw images, and in-progress docker recipes. The framework is compatible with numerous Operating Systems, including Debian, Ubuntu, CentOS, Fedora, and openSUSE, among others. Moreover, Bigtop incorporates a comprehensive set of tools and a testing framework that evaluates various aspects, such as packaging, platform, and runtime, which are essential for both new deployments and upgrades of the entire data platform, rather than just isolated components. This makes Bigtop a vital resource for anyone aiming to streamline their big data infrastructure.

Description

Apache Yetus comprises a suite of libraries and tools designed to facilitate the contribution and release workflows for software projects. It offers a comprehensive framework for automatically validating new contributions against a range of standards recognized by the community, alongside features for documenting a clearly defined supported interface for downstream projects. Additionally, it equips release managers with tools to create release documentation based on data sourced from community issue trackers and source code repositories. Predominantly, the software is developed using shell and various scripting languages, with the project's name derived from a term linked to the Cymbium genus of gastropods, paying homage to shell code. The Yetus Precommit build, patch, and continuous integration suite empowers projects to formalize their criteria for patch acceptance and assess incoming contributions before they reach the review stage by a committer. Furthermore, the Audience Annotations feature enables developers to utilize Java Annotations to indicate which segments of their Java library are intended for public consumption, enhancing clarity for users. This combination of tools and features makes Yetus an invaluable resource for software development communities looking to streamline their processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Jenkins
Jira
Apache HBase
Apache Spark
Azure Pipelines
Beats
GitHub
GitLab
Hadoop
Semaphore
Travis CI
iTop VPN

Integrations

Jenkins
Jira
Apache HBase
Apache Spark
Azure Pipelines
Beats
GitHub
GitLab
Hadoop
Semaphore
Travis CI
iTop VPN

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

bigtop.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

yetus.apache.org

Product Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Product Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

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