Software Alternatives & Reviews

AWS Auto Scaling VS Datafiniti

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

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.

Datafiniti logo Datafiniti

Intelligent web data for data-driven businesses
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26
  • Datafiniti Landing page
    Landing page //
    2023-05-15

Category Popularity

0-100% (relative to AWS Auto Scaling and Datafiniti)
Development
66 66%
34% 34
Diagnostics Software
63 63%
37% 37
Domains
61 61%
39% 39
Monitoring Tools
73 73%
27% 27

User comments

Share your experience with using AWS Auto Scaling and Datafiniti. 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 seems to be more popular. 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.

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

Datafiniti mentions (0)

We have not tracked any mentions of Datafiniti yet. Tracking of Datafiniti recommendations started around Mar 2021.

What are some alternatives?

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

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

pgAdmin - pgAdmin Website

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.

MxToolBox - All of your MX record, DNS, blacklist and SMTP diagnostics in one integrated tool.

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

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.