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Evolving Systems VS AWS Greengrass

Compare Evolving Systems VS AWS Greengrass and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Evolving Systems logo Evolving Systems

89 Evolving Systems reviews. A free inside look at company reviews and salaries posted anonymously by employees.

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices
  • Evolving Systems Landing page
    Landing page //
    2022-07-27
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28

Evolving Systems features and specs

  • Flexible Work Environment
    Employees often mention a flexible work environment, which allows for a good work-life balance.
  • Friendly Colleagues
    Many reviews highlight a positive and friendly working culture with approachable colleagues.
  • Growth Opportunities
    There are opportunities for professional growth and advancement within the company.

Possible disadvantages of Evolving Systems

  • Management Issues
    Several reviews point to challenges with management, including a need for better communication and leadership.
  • Low Compensation
    Compensation and benefits are often mentioned as areas needing improvement.
  • Lack of Structure
    Some employees feel there is a lack of clear structure and processes within the organization.

AWS Greengrass features and specs

  • Edge Computing
    AWS Greengrass allows devices to process data locally without relying on cloud resources, reducing latency and ensuring continued operation even with intermittent connectivity.
  • Seamless AWS Integration
    Seamlessly integrates with a variety of AWS services such as AWS Lambda, AWS IoT Core, and Amazon S3, allowing for enhanced functionality and simplified data exchange between edge devices and the cloud.
  • Security Features
    Offers robust security features, including data encryption for both in-transit and at-rest data, ensuring secure communication and data storage.
  • OTA Updates
    Provides over-the-air software updates, allowing developers to deploy new updates and patches to edge devices securely and efficiently.
  • Machine Learning at the Edge
    Supports ML inference capabilities, enabling machine learning models to run locally on devices, which is essential for real-time data processing and decision-making.

Possible disadvantages of AWS Greengrass

  • Complexity
    The integration of Greengrass in IoT solutions can add complexity, requiring a good understanding of both AWS services and edge computing.
  • Cost Considerations
    While processing data locally can reduce cloud costs, there may be additional expenses related to maintaining the hardware and ensuring compatibility with Greengrass, as well as costs associated with AWS usage.
  • Device Compatibility
    Not all devices may be compatible with AWS Greengrass, which may limit its use cases or require specific hardware configurations.
  • Dependency on AWS Ecosystem
    Being heavily integrated with the AWS ecosystem means that changes or outages in AWS services can potentially impact Greengrass deployments.
  • Learning Curve
    There may be a steep learning curve for developers who are new to AWS Greengrass, especially when it comes to deploying and managing complex IoT applications.

Evolving Systems videos

+ Add

What do we do @ Evolving Systems | 2020

More videos:

  • Review - Top Company 2015: Evolving Systems
  • Review - Evolving Systems Thinking

AWS Greengrass videos

+ Add

Run ML Models at the Edge with AWS Greengrass ML

Category Popularity

0-100% (relative to Evolving Systems and AWS Greengrass)

Evolving Systems

AWS Greengrass

IoT Platform
21 21%
IoT Platform
79% 79
Data Dashboard
21 21%
Data Dashboard
79% 79
Analytics
22 22%
Analytics
78% 78
Cloud Computing
100 100%
Cloud Computing
0% 0

User comments

Share your experience with using Evolving Systems and AWS Greengrass. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, AWS Greengrass seems to be more popular. It has been mentiond 6 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.

Evolving Systems mentions (0)

We have not tracked any mentions of Evolving Systems yet. Tracking of Evolving Systems recommendations started around Mar 2021.

AWS Greengrass mentions (6)

  • Key Features of AWS IoT Greengrass
    AWS IoT Greengrass is an open-source IoT edge runtime developed by Amazon Web Services. It allows connected devices to perform data processing, run applications, and communicate locally, even when internet connectivity is limited or unavailable. Once devices reconnect, the system synchronizes seamlessly with AWS cloud services. - Source: dev.to / 19 days ago
  • 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 / over 2 years 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 / over 3 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 / almost 4 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 / almost 4 years ago
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What are some alternatives?

When comparing Evolving Systems and AWS Greengrass, you can also consider the following products

AWS IoT 1-Click - AWS IoT 1-Click is a service that makes it easy for simple devices to trigger AWS Lambda functions that execute a specific action.

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

SAP Edge Services - Learn how key features of SAP Edge Services can help you connect your edge data with the business world and simplify common Internet of Things (IoT) data processing patterns.

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

Azure IoT Edge - Connect cloud intelligence to your edge devices with Azure IoT Edge, a comprehensive service that deploys artificial intelligence and custom logic to all IoT devices.

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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