Software Alternatives, Accelerators & Startups

Open Data Hub VS AWS IoT

Compare Open Data Hub VS AWS IoT and see what are their differences

Open Data Hub logo Open Data Hub

OpenDataHub

AWS IoT logo AWS IoT

Easily and securely connect devices to the cloud.
  • Open Data Hub Landing page
    Landing page //
    2023-06-01
  • AWS IoT Landing page
    Landing page //
    2023-04-28

Open Data Hub videos

Open Data Hub Introduction

More videos:

  • Review - Fraud Detection Using Open Data Hub on Openshift
  • Review - Installing Open Data Hub on OpenShift 4.1

AWS IoT videos

What is AWS IoT?

More videos:

  • Review - Introducción a AWS IoT
  • Review - AWS IoT in the Connected Home - AWS Online Tech Talks

Category Popularity

0-100% (relative to Open Data Hub and AWS IoT)
Data Science And Machine Learning
Data Dashboard
4 4%
96% 96
Data Science Tools
100 100%
0% 0
IoT Platform
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS IoT should be more popular than Open Data Hub. It has been mentiond 8 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.

Open Data Hub mentions (3)

  • job scheduling for scientific computing on k8s?
    Perhaps have a look at OpenDataHub. While geared for Openshift, see if they solved some of your concerns. Source: about 1 year ago
  • Elyra 2.2: R support, updated CLI, and more
    A common approach is to deploy JupyterHub on Kubernetes and configure it for Elyra, like it is done in Open Data Hub on the Red Hat OpenShift Container platform. - Source: dev.to / over 3 years ago
  • Automate your machine learning workflow tasks using Elyra and Apache Airflow
    If you are interested in running pipelines on Apache Airflow on the Red Hat OpenShift Container Platform, take a look at Open Data Hub. Open Data Hub is an open source project (just like Elyra) that should include everything you need to start running machine learning workloads in a Kubernetes environment. - Source: dev.to / over 3 years ago

AWS IoT mentions (8)

  • Automatically Applying Configuration to IoT Devices with AWS IoT and AWS Step Functions - Part 1
    In this blog post series, we will look at a simple example of modeling an IoT device process as a workflow, using primarily AWS IoT and AWS Step Functions. Our example is a system where, when a device comes online, you need to get external settings based on the profile of the user the device belongs to and push that configuration to the device. The system that holds the external settings is often a third party... - Source: dev.to / about 1 year ago
  • Building a serverless talking doorbell
    Iot - MQTT broker to send messages to the Raspberry Pi. - Source: dev.to / over 2 years ago
  • GME NFT/blockchain is not to be a stock market...it's bigger
    " Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. AWS is trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including: web and... Source: over 2 years ago
  • What is AWS IoT Core and how do I use it?
    AWS IoT Core - message broker between all devices and AWS. - Source: dev.to / over 2 years ago
  • Which Cloud Suite is preferable when the focus is more towards IoT/IIoT as potential future job search keyword?
    If you have to ask, then you should be using AWS by default. They have plenty of IoT services for you to fiddle around with and get started. Source: almost 3 years ago
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What are some alternatives?

When comparing Open Data Hub and AWS IoT, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

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

C3 AI Suite - The C3 AI Suite uses a model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise-scale AI applications.

Blynk.io - We make internet of things simple

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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