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Open Data Hub VS ThingSpeak

Compare Open Data Hub VS ThingSpeak and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Open Data Hub logo Open Data Hub

OpenDataHub

ThingSpeak logo ThingSpeak

Open source data platform for the Internet of Things. ThingSpeak Features
  • Open Data Hub Landing page
    Landing page //
    2023-06-01
  • ThingSpeak Landing page
    Landing page //
    2021-07-26

Open Data Hub videos

+ Add

Open Data Hub Introduction

More videos:

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

ThingSpeak videos

+ Add

How to Analyze IoT Data in ThingSpeak

More videos:

  • Review - Review Higrow Board ESP32 and Aplication on Thingspeak #IoT #ESP32
  • Tutorial - How to Use ThingSpeak with Arduino

Category Popularity

0-100% (relative to Open Data Hub and ThingSpeak)

Open Data Hub

ThingSpeak

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
2 2%
Data Dashboard
98% 98
Data Science Tools
100 100%
Data Science Tools
0% 0
IoT Platform
0 0%
IoT Platform
100% 100

User comments

Share your experience with using Open Data Hub and ThingSpeak. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Open Data Hub and ThingSpeak

Open Data Hub Reviews

We have no reviews of Open Data Hub yet.
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ThingSpeak Reviews

Best IoT Platforms in 2022 for Small Business
ThingSpeak is an IoT platform that uses channels to store data sent from apps or devices. A special feature of ThingSpeak is that you can create your own channel to collect the analyzed data hence giving a great level of flexibility to the users. You can also collect the data from the public (for example, ThingSpeak channel 12397 – Weather Station) and configure to write...
Source: www.fogwing.io
Open Source Internet of Things (IoT) Platforms
Known as the cloud IoT platform with MATLAB analytics, ThingSpeak allows you to aggregate, analyze, and visualize live data streams. IoT devices send their live data directly to ThingSpeak. From there, you create instant visualizations and can send alerts using web services. Essentially, however, you write and execute MATLAB code to do your data preparation, visualization...
Source: jansutris10.medium.com
14 of the Best IoT Platforms to Watch in 2021
ThingSpeak is a 100% analytics platform which supports advanced developer applications in environmental monitoring, energy, and smart farming. All the analysis is done on Matlab, and you can utilize the data insights for really cool stuff. For example, connecting an IoT device to Twitter and sending alerts. The best part is that using data for a certain interval is free....
Source: www.iottechtrends.com

Social recommendations and mentions

Based on our record, ThingSpeak should be more popular than Open Data Hub. It has been mentiond 9 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

ThingSpeak mentions (9)

  • Kotlin/ Thingspeak Interfacing.
    First of all, you need to ask yourself how familiar you are with MatLab. Then from a dev point of view, could you use an API to reference cloud data then apply analytics. Great intro to IoT. I can see that company going far in 5-10 and may invest based on trajectory. Https://thingspeak.com. Source: 9 months ago
  • Google sheets and esp32
    You can use solutions like thingspeak https://thingspeak.com/. Source: over 1 year ago
  • Help me check my circuit for my self-sustaining water meter
    I'm not sure yet. Maybe something custom, but probably not. I was thinking about Thingspeak before. Source: over 1 year ago
  • Displaying readings to website?
    I haven't got around to MQTT yet, but as an easy interim solution I recommend ThingSpeak https://thingspeak.com/ as you can set up an account for free and getting an ESP to send data to it is trivial. Plus you can access it via the web, or embed their graphs and dials into a webpage. The graphics are a bit meh though. Source: over 1 year ago
  • i have an idea for a database+arduino+matlab, i need some help plz
    ThingSpeak for IoT Projects Data collection in the cloud with advanced data analysis using MATLAB Https://thingspeak.com/. Source: over 1 year ago
View more

What are some alternatives?

When comparing Open Data Hub and ThingSpeak, 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.

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

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.

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.

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.

Blynk.io - We make internet of things simple

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