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IBM XL C/C++ for AIX VS AWS Greengrass

Compare IBM XL C/C++ for AIX VS AWS Greengrass and see what are their differences

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IBM XL C/C++ for AIX logo IBM XL C/C++ for AIX

IBM XL C for AIX delivers advanced compilation and optimization technologies for AIX on Power Systems.

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices
  • IBM XL C/C++ for AIX Landing page
    Landing page //
    2023-03-10
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28

IBM XL C/C++ for AIX videos

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AWS Greengrass videos

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Run ML Models at the Edge with AWS Greengrass ML

Category Popularity

0-100% (relative to IBM XL C/C++ for AIX and AWS Greengrass)

IBM XL C/C++ for AIX

AWS Greengrass

Software Development
100 100%
Software Development
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
IDE
100 100%
IDE
0% 0
IoT Platform
0 0%
IoT Platform
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Greengrass seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IBM XL C/C++ for AIX mentions (0)

We have not tracked any mentions of IBM XL C/C++ for AIX yet. Tracking of IBM XL C/C++ for AIX recommendations started around Mar 2021.

AWS Greengrass mentions (5)

  • Orchestrating Application Workloads in Distributed Embedded Systems: Setting up a Nomad Cluster with AWS IoT Greengrass - Part 1
    In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / about 1 year ago
  • AWS Summit 2022 Australia and New Zealand - Day 2, AI/ML Edition
    AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / almost 2 years ago
  • Applying DevOps Principles to Robotics
    To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 2 years ago
  • Machine Learning Best Practices for Public Sector Organizations
    In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 2 years ago
  • Looking for a good IoT overview + a simple tutorial
    Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: almost 3 years ago

What are some alternatives?

When comparing IBM XL C/C++ for AIX and AWS Greengrass, you can also consider the following products

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

AWS IoT - Easily and securely connect devices to the cloud.

Netbeans - NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.

Eclipse - Eclipse is an open source community, whose projects are focused on building an open development platform comprised of extensible frameworks, tools and runtimes for building, deploying and managing software across the lifecycle.

Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.

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