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What is Everyware Software Framework (ESF)?

The Everyware Software Framework (ESF) by Eurotech represents a powerful IoT solution specifically crafted for enterprise settings. This robust platform is built upon Eclipse Kura, which is an open-source Java/OSGi middleware designed for IoT gateways, enhancing its capabilities through features such as provisioning, top-tier security, remote access, and diagnostic monitoring. It accommodates a variety of field protocols, including Modbus, OPC-UA, S7, FANUC, J1939, J1979, BACnet, and IEC standards, while also supporting MQTT connectivity. This allows users to efficiently collect data from various sources, process it at the edge, and transmit it to cloud-based IoT platforms. Moreover, integration with Everyware Cloud ensures effective remote management of devices, providing a seamless experience for IoT edge computing applications. Users can easily connect to IoT devices and cloud services using industrial protocols, and they can visually design data flows to manage, analyze, and route information effectively. With such capabilities, this comprehensive framework empowers organizations to optimize their IoT efforts and significantly improve operational efficiency, ultimately leading to better decision-making and resource utilization.

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

AWS IoT
AWS IoT Core
Apache Kafka
Apache Spark
Azure IoT Hub
Cumulocity IoT
Eclipse Kura
Everyware Cloud
Exosite Murano
Hadoop
Java
Microsoft Azure
MySQL
PostgreSQL
Redis

Integrations Supported

AWS IoT
AWS IoT Core
Apache Kafka
Apache Spark
Azure IoT Hub
Cumulocity IoT
Eclipse Kura
Everyware Cloud
Exosite Murano
Hadoop
Java
Microsoft Azure
MySQL
PostgreSQL
Redis

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

ESF Eurotech

Company Website

esf.eurotech.com

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

mahout.apache.org

Categories and Features

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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