Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hadoop Yes 
APERIO DataWise No 
Amazon Data Firehose No 
Amazon SageMaker Data Wrangler No 
Apache HBase Yes 
Blotout No 
Data Sentinel No 
IBM Db2 Event Store No 
Jenkins Yes 
Jira Yes 
Mage Platform No 
OrcaSheets No 
QStudio No 
Querri No 
QuerySurge No 
SSIS Integration Toolkit No 
Tad No 
Tictable No 
Timeplus No 
e6data No 

Integrations

Hadoop Yes 
APERIO DataWise Yes 
Amazon Data Firehose Yes 
Amazon SageMaker Data Wrangler Yes 
Apache HBase No 
Blotout Yes 
Data Sentinel Yes 
IBM Db2 Event Store Yes 
Jenkins No 
Jira No 
Mage Platform Yes 
OrcaSheets Yes 
QStudio Yes 
Querri Yes 
QuerySurge Yes 
SSIS Integration Toolkit Yes 
Tad Yes 
Tictable Yes 
Timeplus Yes 
e6data 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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

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

Customer Support

Business Hours No 
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 Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

bigtop.apache.org

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

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

Alternatives

Apache Ranger Reviews

Apache Ranger

The Apache Software Foundation

Alternatives

Apache Phoenix Reviews

Apache Phoenix

Apache Software Foundation
Apache Iceberg Reviews

Apache Iceberg

Apache Software Foundation
Apache Sentry Reviews

Apache Sentry

Apache Software Foundation
Azure HDInsight Reviews

Azure HDInsight

Microsoft
Apache HBase Reviews

Apache HBase

The Apache Software Foundation