Software Alternatives, Accelerators & Startups

AWS IoT Core VS H2O.ai

Compare AWS IoT Core VS H2O.ai and see what are their differences

AWS IoT Core logo AWS IoT Core

Whether building a connected home application for home security or building an industrial application to proactively identify equipment breakdown, you can use AWS IoT Core to securely communicate with and gather data from your diverse fleet of IoT d…

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
  • AWS IoT Core Landing page
    Landing page //
    2022-02-05
  • H2O.ai Landing page
    Landing page //
    2023-10-25

H2O.ai

Website
h2o.ai
$ Details
Release Date
2012 January
Startup details
Country
United States
State
California
Founder(s)
Cliff Click
Employees
10 - 19

AWS IoT Core videos

Getting Started with AWS IoT Core for LoRaWAN

More videos:

  • Review - How can I start publishing messages to AWS IoT Core from my device?

H2O.ai videos

[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

Category Popularity

0-100% (relative to AWS IoT Core and H2O.ai)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
IoT Platform
100 100%
0% 0
AI
0 0%
100% 100

Questions and Answers

As answered by people managing AWS IoT Core and H2O.ai.

What makes your product unique?

H2O.ai's answer:

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using AWS IoT Core and H2O.ai. 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 AWS IoT Core and H2O.ai

AWS IoT Core Reviews

Open Source Internet of Things (IoT) Platforms
It is a managed cloud service. AWS IoT Core will allow devices to connect with the cloud and interact with the other devices and cloud applications. It provides support for HTTP, lightweight communication protocol, and MQTT.
14 of the Best IoT Platforms to Watch in 2021
AWS IoT Core is a behemoth in IoT platforms, and is the backbone of many fascinating projects such as Expedia, AirBnB, and CoinBase. With support for device software such as FreeRTOS and AWS IoT Greengrass, AWS IoT Core encompasses a vastly superior ecosystem of products allowing development in smart homes and industrial automation. All AWS data is visualized on an AWS IoT...

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...

Social recommendations and mentions

Based on our record, AWS IoT Core should be more popular than H2O.ai. 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.

AWS IoT Core mentions (8)

  • WebSockets, gRPC, MQTT, and SSE - Which Real-Time Notification Method Is For You?
    MQTT - AWS IoT Core offers a managed MQTT message broker, giving you easy access to your devices. Fun fact, this is what powers the notifications in Serverlesspresso. - Source: dev.to / 8 months ago
  • Serverless Facial Recognition Voting Application Using AWS Services
    AWS IoT: For real-time communication between the server and the frontend application. - Source: dev.to / about 1 year ago
  • Building Serverlesspresso
    AWS IoT Core is a service that allows you to connect your devices securely to the AWS cloud and with ease. Option for device management, data processing as well as integration with other AWS services is provided. Click here for more on AWS IoT Core. - Source: dev.to / about 1 year ago
  • Use EventBridge to handle API requests
    From here you can do all sorts of actions. For example, the serverless-coffee project used IOT Core. With IOT Core you can notify the end-user with status updates. And notify the barista that what kind of coffee needs to be created. - Source: dev.to / over 1 year ago
  • API Gateway Websockets vs IoT Core
    When you need websockets in a project on AWS most likely API Gateway Websockets (I will refer to it as API Gateway from now on) is the first service coming to mind. At some point when looking into options, I ran into IoT Core instead. I thought this was meant only for very specific scenarios involving hardware; however it also supports MQTT over websockets which makes it an amazing choice for web and app. I think... - Source: dev.to / over 1 year ago
View more

H2O.ai mentions (1)

  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing AWS IoT Core and H2O.ai, you can also consider the following products

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

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.

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Blynk.io - We make internet of things simple

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.