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What is Apache OFBiz?

Apache OFBiz represents a robust suite of business applications that can easily serve multiple industries due to its versatility. The platform's cohesive architecture allows developers to seamlessly modify or extend its capabilities to incorporate custom features. Built on Java, this web framework includes an entity engine, a service engine, and a user interface driven by widgets, which supports swift development and prototyping of web applications. With its status as an Apache top-level project for over ten years, OFBiz has proven to be a reliable and effective ERP solution that can adapt to the changing needs of businesses. Its highly flexible structure empowers developers to implement quick and simple enhancements, enabling the creation of bespoke features that meet specific business requirements. Moreover, Apache OFBiz comes equipped with a diverse array of core modules right out of the box, featuring functionalities such as Accounting (covering GL, AR, AP, and FA), CRM, Order Management and E-Commerce, inventory and warehouse management, as well as manufacturing and MRP capabilities. This comprehensive suite of features positions OFBiz as a compelling choice for organizations aiming for a customizable and scalable ERP solution. Furthermore, the continuous updates and community support ensure that OFBiz remains aligned with the latest technological advancements and business practices.

What is Apache Mahout?

Apache Mahout is a powerful and flexible library designed for machine learning, focusing on data processing within distributed environments. It offers a wide variety of algorithms tailored for diverse applications, including classification, clustering, recommendation systems, and pattern mining. Built on the Apache Hadoop framework, Mahout effectively utilizes both MapReduce and Spark technologies to manage large datasets efficiently. This library acts as a distributed linear algebra framework and includes a mathematically expressive Scala DSL, which allows mathematicians, statisticians, and data scientists to develop custom algorithms rapidly. Although Apache Spark is primarily used as the default distributed back-end, Mahout also supports integration with various other distributed systems. Matrix operations are vital in many scientific and engineering disciplines, which include fields such as machine learning, computer vision, and data analytics. By leveraging the strengths of Hadoop and Spark, Apache Mahout is expertly optimized for large-scale data processing, positioning it as a key resource for contemporary data-driven applications. Additionally, its intuitive design and comprehensive documentation empower users to implement intricate algorithms with ease, fostering innovation in the realm of data science. Users consistently find that Mahout's features significantly enhance their ability to manipulate and analyze data effectively.

Media

Media

Integrations Supported

Apache Spark
Hadoop
Oxxus

Integrations Supported

Apache Spark
Hadoop
Oxxus

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

ofbiz.apache.org

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

mahout.apache.org

Categories and Features

Business Management

Billing & Invoicing
CRM
Employee Management
Financial Management
Inventory Management
Marketing Management
Order Management
Point of Sale (POS)
Project Management
Purchasing
Scheduling
Time & Expense Tracking
Training Management
Vendor Management

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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