Compare the Top Embedded Software Development Tools for Cloud as of December 2025

What are Embedded Software Development Tools for Cloud?

Embedded software development tools are used to write, compile, debug and deploy applications for embedded systems. These tools consist of a range of editors, compilers, debuggers and programming languages specifically designed for embedded computing. Most development tools are provided by embedded system vendors or third-party providers. There is also a variety of open-source and free tools available from various online sources. Embedded software development tools are an essential part of the embedded design process and allow developers to create efficient and reliable software designs for their projects. Compare and read user reviews of the best Embedded Software Development tools for Cloud currently available using the table below. This list is updated regularly.

  • 1
    NVIDIA Jetson
    NVIDIA's Jetson platform is a leading solution for embedded AI computing, utilized by professional developers to create breakthrough AI products across various industries, as well as by students and enthusiasts for hands-on AI learning and innovative projects. The platform comprises small, power-efficient production modules and developer kits, offering a comprehensive AI software stack for high-performance acceleration. This enables the deployment of generative AI at the edge, supporting applications like NVIDIA Metropolis and the Isaac platform. The Jetson family includes a range of modules tailored to different performance and power efficiency needs, such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is designed to meet specific AI computing requirements, from entry-level projects to advanced robotics and industrial applications.
  • 2
    Green Hills Optimizing Compilers
    As the pace of microprocessor innovation continues to accelerate, application developers know they can rely on Green Hills Compilers to unlock the hardware's full potential and realize maximum performance and functional safety in their next-generation applications. Green Hills Compilers use the most advanced optimizations to maximize your program's performance even within strict size constraints. For example, our CodeFactor™ optimization speeds your program's execution and reduces its size by removing redundant segments of code via subroutine calls and tail merges. Static basing provides the same benefits (faster speed, smaller size) by grouping data items to significantly reduce the number of load address operations. Every one of our optimizations, whether it's our own innovation or an industry standard, is meticulously implemented. Continuing three decades of engineering excellence, we painstakingly research and then test each one against hundreds of benchmarks.
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