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What is balenaEngine?

BalenaEngine is a tailored container engine crafted for embedded systems and Internet of Things (IoT) applications, leveraging technology from Docker's Moby Project. Remarkably, it is 3.5 times smaller than Docker CE and is provided as a single binary file. This engine supports a wide array of chipset architectures, accommodating devices ranging from compact IoT solutions to larger industrial gateways. It facilitates bandwidth-efficient updates through binary diffs, which can be dramatically smaller—10 to 70 times—than the conventional method of downloading layers in various scenarios. To prevent excessive disk writes and reduce the risk of storage corruption, it extracts layers upon reception. Furthermore, its atomic and durable image pulls protect against incomplete container downloads during unexpected power loss. The design also alleviates page cache thrashing during image pulls, ensuring that applications can operate seamlessly even in environments with limited memory. In conclusion, balenaEngine stands out as a cutting-edge solution that not only supports Docker containers but also significantly improves bandwidth efficiency for container updates, making it an excellent option for developers focused on achieving reliability and efficiency in their IoT and embedded system projects. Its robust features and thoughtful design are tailored to meet the demanding requirements of modern applications.

What is KINEXON?

KINEXON specializes in gathering real-time localization data and translating it into meaningful actions across various fields, such as industry, sports, and entertainment. By leveraging our state-of-the-art technology, you can access insights that were once difficult to obtain, transforming data into competitive advantages. Did you know that you can improve operational efficiency by utilizing real-time location information from connected assets for processes like automated order fulfillment, quality control, or inventory replenishment? Automating tasks that involve multiple moving parts significantly minimizes the chances of human error and alleviates the strain of labor-intensive manual tasks, resulting in increased overall efficiency. With millions of containers used worldwide in manufacturing, ineffective management of these resources can result in substantial waste of both time and money. The implementation of automated container management systems that depend on precise RTLS data about container locations and statuses on the production floor greatly enhances visibility and utilization of these containers, ultimately streamlining operations. Furthermore, achieving this level of operational efficiency can lead to a more organized workflow, fostering enhanced productivity throughout your organization. Embracing these advancements can fundamentally transform how businesses manage their resources and optimize their processes.

Media

Media

Integrations Supported

Docker

Integrations Supported

Smartabase

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

balena

Date Founded

2013

Company Location

United States

Company Website

www.balena.io/engine/

Company Facts

Organization Name

KINEXON

Date Founded

2012

Company Location

Germany

Company Website

kinexon.com

Categories and Features

Container Engines

Not specified

Container Management

Not specified

IoT

Not specified

Categories and Features

IoT

Not specified

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