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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

BigBI empowers data professionals to create robust big data pipelines in an interactive and efficient manner, all without requiring any programming skills. By harnessing the capabilities of Apache Spark, BigBI offers remarkable benefits such as scalable processing of extensive datasets, achieving speeds that can be up to 100 times faster. Moreover, it facilitates the seamless integration of conventional data sources like SQL and batch files with contemporary data types, which encompass semi-structured formats like JSON, NoSQL databases, Elastic, and Hadoop, as well as unstructured data including text, audio, and video. Additionally, BigBI supports the amalgamation of streaming data, cloud-based information, artificial intelligence/machine learning, and graphical data, making it a comprehensive tool for data management. This versatility allows organizations to leverage diverse data types and sources, enhancing their analytical capabilities significantly.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Hadoop Yes 
Amazon Kinesis No 
Amazon Redshift No 
Amazon S3 No 
Apache Cassandra No 
Apache HBase Yes 
Apache Kafka No 
Apache Kudu No 
Apache Spark Yes 
ArangoDB No 
Google Cloud BigQuery No 
Jira Yes 
MongoDB No 
MySQL No 
Neo4j No 
Oracle Database No 
OrientDB No 
PostgreSQL No 
RabbitMQ No 
Salesforce No 

Integrations

Hadoop Yes 
Amazon Kinesis Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Cassandra Yes 
Apache HBase No 
Apache Kafka Yes 
Apache Kudu Yes 
Apache Spark No 
ArangoDB Yes 
Google Cloud BigQuery Yes 
Jira No 
MongoDB Yes 
MySQL Yes 
Neo4j Yes 
Oracle Database Yes 
OrientDB Yes 
PostgreSQL Yes 
RabbitMQ Yes 
Salesforce 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 Yes 
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 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

BigBI

Founded

2019

Country

Israel

Website

bigbi.io

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

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis No 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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