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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Effortlessly load your data into or extract it from Hadoop and data lakes, ensuring it is primed for generating reports, visualizations, or conducting advanced analytics—all within the data lakes environment. This streamlined approach allows you to manage, transform, and access data stored in Hadoop or data lakes through a user-friendly web interface, minimizing the need for extensive training. Designed specifically for big data management on Hadoop and data lakes, this solution is not simply a rehash of existing IT tools. It allows for the grouping of multiple directives to execute either concurrently or sequentially, enhancing workflow efficiency. Additionally, you can schedule and automate these directives via the public API provided. The platform also promotes collaboration and security by enabling the sharing of directives. Furthermore, these directives can be invoked from SAS Data Integration Studio, bridging the gap between technical and non-technical users. It comes equipped with built-in directives for various tasks, including casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive operations. For improved performance, profiling processes are executed in parallel on the Hadoop cluster, allowing for the seamless handling of large datasets. This comprehensive solution transforms the way you interact with data, making it more accessible and manageable than ever.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hadoop Yes 
Apache HBase Yes 
Apache Spark Yes 
Beats Yes 
Impala No 
Jenkins Yes 
Jira Yes 
Microsoft 365 No 
Microsoft Power BI No 
SAS Analytics for IoT No 
SAS Anti-Money Laundering No 
SAS Business Intelligence No 
SAS Business Rules Manager No 
SAS Customer Intelligence No 
SAS Data Management No 
SAS Data Quality No 
SAS Energy Forecasting No 
SAS Enterprise Miner No 
SAS MDM No 
SAS Risk Management No 

Integrations

Hadoop Yes 
Apache HBase No 
Apache Spark No 
Beats No 
Impala Yes 
Jenkins No 
Jira No 
Microsoft 365 Yes 
Microsoft Power BI Yes 
SAS Analytics for IoT Yes 
SAS Anti-Money Laundering Yes 
SAS Business Intelligence Yes 
SAS Business Rules Manager Yes 
SAS Customer Intelligence Yes 
SAS Data Management Yes 
SAS Data Quality Yes 
SAS Energy Forecasting Yes 
SAS Enterprise Miner Yes 
SAS MDM Yes 
SAS Risk Management Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

bigtop.apache.org

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/data-loader-for-hadoop.html

Product Features

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

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