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What is balenaOS?

The emergence of container technology is poised to revolutionize the realm of connected devices, with balenaOS emerging as the leading choice for their implementation. It is crafted to withstand difficult networking conditions and unexpected power interruptions, serving as a minimalist version of Linux that incorporates only the vital services required for efficient Docker operation on embedded systems. Leveraging Yocto Linux as its base, balenaOS supports smooth customization across various device types and CPU architectures. The project benefits from active maintenance and transparency, encouraging community involvement and contributions. Our journey began in 2013 with the development of balenaCloud, a platform that merges contemporary software development tools with connected hardware, where we adapted Docker for ARM processors. This venture underscored the need for a specially designed operating system aimed at this niche: an optimized, lightweight OS that is ideally suited for running containers on embedded devices. Additionally, this emphasis on efficiency empowers developers to fully harness the capabilities of their innovative connected solutions while paving the way for future advancements in device management. The commitment to continuous improvement ensures that balenaOS remains at the forefront of technology in this rapidly evolving field.

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.

Media

Media

Integrations Supported

Docker
OpenBalena
balena

Integrations Supported

Docker
OpenBalena
balena

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

balena

Date Founded

2013

Company Location

United Kingdom

Company Website

www.balena.io/os/

Company Facts

Organization Name

balena

Date Founded

2013

Company Location

United States

Company Website

www.balena.io/engine/

Categories and Features

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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