Software Alternatives, Accelerators & Startups

AWS Greengrass VS Oracle IoT

Compare AWS Greengrass VS Oracle IoT and see what are their differences

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices

Oracle IoT logo Oracle IoT

Oracle IoT enables users to connect their devices to the cloud, analyze data from those devices in real time, and integrate the data with enterprise applications.
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • Oracle IoT Landing page
    Landing page //
    2023-07-29

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.

Oracle IoT features and specs

No features have been listed yet.

AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

Oracle IoT videos

Oracle IOT Showcase

Category Popularity

0-100% (relative to AWS Greengrass and Oracle IoT)
Data Dashboard
63 63%
37% 37
IoT Platform
61 61%
39% 39
IoT
51 51%
49% 49
Analytics
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Greengrass and Oracle IoT

AWS Greengrass Reviews

We have no reviews of AWS Greengrass yet.
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Oracle IoT Reviews

Open Source Internet of Things (IoT) Platforms
With the help of Oracle IoT cloud, you can connect your devices to the cloud, perform analysis of data from these devices in real time, and perform integration of data with enterprise applications or web services. It supports integration with Oracle and non-oracle applications and IoT devices using REST API.

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.

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 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 / almost 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 / over 3 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 3 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 4 years ago

Oracle IoT mentions (0)

We have not tracked any mentions of Oracle IoT yet. Tracking of Oracle IoT recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Greengrass and Oracle IoT, you can also consider the following products

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

Cisco IoT Cloud Connect - Cisco IoT offers a complete solution for mobile operators to provide exceptional IoT experiences.

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

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.

M2MLabs - M2MLabs Mainspring is an application framework for building machine-to-machine applications like vehicle tracking or machine remote monitoring.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features