Software Alternatives, Accelerators & Startups
Register | Login

MLJAR VS AWS Auto Scaling

Compare MLJAR VS AWS Auto Scaling and see what are their differences

Netumo
Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

MLJAR logo MLJAR

MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.

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.
  • MLJAR Landing page
    Landing page //
    2023-06-14
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26

Category Popularity

0-100% (relative to MLJAR and AWS Auto Scaling)

MLJAR

AWS Auto Scaling

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Development
0 0%
Development
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Diagnostics Software
0 0%
Diagnostics Software
100% 100

User comments

Share your experience with using MLJAR and AWS Auto Scaling. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, AWS Auto Scaling should be more popular than MLJAR. It has been mentiond 11 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.

MLJAR mentions (3)

  • [P] Build data web apps in Jupyter Notebook with Python only
    Sure, at the bottom of our website you can subscribe for newsletter. Source: about 1 year ago
  • Data Science and full-stack-web development
    In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools. Source: about 2 years ago
  • [D] Bring your own data AI SaaS service for non-programmers?
    Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ). Source: over 2 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
View more

What are some alternatives?

When comparing MLJAR and AWS Auto Scaling, you can also consider the following products

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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.

Teachable Machine - Easily create machine learning models for your apps, no coding required.

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

Loading...