Software Alternatives & Reviews

H2O.ai VS AWS Auto Scaling

Compare H2O.ai VS AWS Auto Scaling and see what are their differences

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
  • H2O.ai Landing page
    Landing page //
    2023-10-25
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26

H2O.ai videos

H2O Just Add Water was the weirdest show...

More videos:

  • Review - [Demo] Predicting Healthcare Outcomes with H2O.ai
  • 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

AWS Auto Scaling videos

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Category Popularity

0-100% (relative to H2O.ai and AWS Auto Scaling)
Data Science And Machine Learning
Development
0 0%
100% 100
AI
100 100%
0% 0
Diagnostics Software
0 0%
100% 100

Questions and Answers

As answered by people managing H2O.ai and AWS Auto Scaling.

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

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Reviews

These are some of the external sources and on-site user reviews we've used to compare H2O.ai and AWS Auto Scaling

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...

AWS Auto Scaling Reviews

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Social recommendations and mentions

Based on our record, AWS Auto Scaling seems to be a lot more popular than H2O.ai. While we know about 11 links to AWS Auto Scaling, we've tracked only 1 mention of H2O.ai. 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.

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

AWS Auto Scaling mentions (11)

  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / about 1 year ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / over 1 year ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: about 2 years ago
  • A first impression of AWS App Runner
    AWS Auto Scaling – Makes sure that the application scales based on the number of concurrent requests. - Source: dev.to / over 2 years ago
  • .NET Applications with Linux Containers
    Many customers start their cloud journey with a lift-and-shift approach, running their NTier .NET Framework applications on EC2 without any code changes. It’s common for these deployments to have more than one EC2 Windows instance with an Application Load Balancer (ALB), routing the user requests to one of the EC2 instances. A stateful application can have session affinity (sticky sessions) enabled at the ALB... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing H2O.ai and AWS Auto Scaling, you can also consider the following products

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.

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

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

AWS Deep Learning AMIs - The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service