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Amazon EC2 Auto Scaling vs Spot by Flexera comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 19, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.6
Amazon EC2 Auto Scaling offers substantial ROI, over 50% for high loads, outperforming GCP, with cost-effective instance deployment.
Sentiment score
7.6
Spot by Flexera enabled substantial savings in compute costs and enhanced efficiency, though ROI may take longer for some.
Our technology predicts demand, selects the cheapest instance mix, sizes the workloads appropriately, and scales it automatically based on policy, resulting in significant savings by reducing manual work and enhancing our flexibility, which has helped accelerate our deployments.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
I cannot share the exact number, but I can share the figure that my EC2 and EKS compute cost reduced by around 65 to 75% with Spot.
Dev Ops Engineer at a construction company with 11-50 employees
 

Customer Service

Sentiment score
7.3
Amazon EC2 Auto Scaling support is highly rated for responsiveness and effectiveness, despite challenges with third-party integrations.
Sentiment score
8.4
Spot by Flexera's customer service is highly rated for its excellent technical support, responsiveness, and reliability, ensuring customer satisfaction.
I would rate the technical support of AWS a nine, as their team resolves issues effectively and meets our expectations.
Senior AWS Consultant at Quantum Integrators
They have very good support.
Cloud Architect Consultant at T-Systems International
I would rate the customer support a nine out of ten.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
7.4
Amazon EC2 Auto Scaling efficiently adapts to demand changes, supporting scalability with features like load balancing and server automation.
Sentiment score
7.4
Spot by Flexera is highly scalable, effectively supporting multiple users across environments, particularly with AWS services, boosting user confidence.
The scaling feature appears to be embedded in the Amazon EC2 Auto Scaling price.
Senior Analyst - Data Engineer at a tech vendor with 10,001+ employees
Spot's scalability is quite good, and it can be expanded to multiple environments.
Dev Ops Engineer at a construction company with 11-50 employees
 

Stability Issues

Sentiment score
8.1
Amazon EC2 Auto Scaling is praised for its stability, resilience, and effective performance, with up to 99% reported uptime.
Sentiment score
7.0
Spot by Flexera is mostly stable and reliable, though some users report occasional bugs indicating room for improvement.
Amazon EC2 Auto Scaling should automatically scale out systems during high demand and scale in new instances when demand decreases.
Scrum Master/ Agile Coach at Porch Group
The stability of Amazon EC2 Auto Scaling rates a 10.
Senior Analyst - Data Engineer at a tech vendor with 10,001+ employees
 

Room For Improvement

Enhancements needed in scalability, customization, integration, documentation, UI, pricing, predictive scaling, security, and vertical scaling for Amazon EC2 Auto Scaling.
Spot by Flexera needs OCI support, better multi-cloud integration, and UI improvements, though it's stable and mature.
Amazon should provide more detailed training materials for people who are just starting to work with Amazon EC2 Auto Scaling.
Cloud Architect at Acmegrade
In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable policies allow appropriate scaling.
Scrum Master/ Agile Coach at Porch Group
The ability to ask questions about documentation through a chat interface would be valuable.
Senior Analyst - Data Engineer at a tech vendor with 10,001+ employees
Continuously making advancements based on customer feedback.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
Spot could be improved by adding features that help identify data to optimize storage costs by detecting datasets within our environment based on criteria such as age and usage.
AVP DevOps and Product Support at a recruiting/HR firm with 1,001-5,000 employees
More guided onboarding would help teams adopt advanced features faster.
Dev Ops Engineer at a construction company with 11-50 employees
 

Setup Cost

Amazon EC2 Auto Scaling offers flexible pricing based on usage, with careful management needed to control potential costs.
Enterprise users praise Spot by Flexera's pricing and setup, with structured management of licensing, via AWS Marketplace.
It operates on a pay-as-you-go model, meaning if a machine is used for only an hour, the pricing will be calculated for that hour only, not the entire month.
Cloud Architect at Acmegrade
In some projects, incorrect decisions were made by not consulting them first, resulting in higher setup and maintenance costs.
Scrum Master/ Agile Coach at Porch Group
The pricing is reasonable and convenient, and the value it offers is completely in line with what I am spending.
Dev Ops Engineer at a construction company with 11-50 employees
 

Valuable Features

Amazon EC2 Auto Scaling ensures efficient demand scaling, cost-effectiveness, and seamless integration with CloudWatch for optimal resource management.
Spot by Flexera offers cost optimization, Kubernetes management, and security compliance with intelligent autoscaling, AWS integration, and AI-driven insights.
This pre-configuration makes on-demand scaling refined, and the configuration includes automatic traffic distribution because when the first system is overloaded, new incoming traffic is redirected to the newly created systems.
Scrum Master/ Agile Coach at Porch Group
The service offers 99.9999% availability. We have high availability, and I haven't experienced any downtime during my usage periods.
Senior Analyst - Data Engineer at a tech vendor with 10,001+ employees
The best feature I appreciate about Amazon EC2 Auto Scaling is its health check functionality; when a server becomes unreachable or enters an unhealthy state, it automatically triggers an alert, and the load balancer responds by spinning up a new server, ensuring that traffic is distributed effectively.
Senior AWS Consultant at Quantum Integrators
Spot's automated cost optimization works by continuously analyzing the workload and applying policies to minimize cloud spend without sacrificing performance.
Global Hyperscaler Alliances Director at a tech vendor with 1,001-5,000 employees
The fact that it can mix dozens of instance families dynamically is something which the AWS native autoscalers simply cannot do.
Dev Ops Engineer at a construction company with 11-50 employees
Spot helps us detect such changes within AWS at least one hour prior, allowing us to have a mitigation plan in place and host other servers within the same setup to avoid impacting the application.
AVP DevOps and Product Support at a recruiting/HR firm with 1,001-5,000 employees
 

Categories and Ranking

Amazon EC2 Auto Scaling
Ranking in Compute Service
4th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
51
Ranking in other categories
No ranking in other categories
Spot by Flexera
Ranking in Compute Service
9th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Cloud Management (23rd), Server Virtualization Software (14th), Cloud Operations Analytics (1st), Cloud Analytics (2nd), Containers as a Service (CaaS) (4th), Cloud Cost Management (5th)
 

Mindshare comparison

As of January 2026, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 7.7%, down from 11.8% compared to the previous year. The mindshare of Spot by Flexera is 3.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service Market Share Distribution
ProductMarket Share (%)
Amazon EC2 Auto Scaling7.7%
Spot3.8%
Other88.5%
Compute Service
 

Featured Reviews

Karthikeyan Ganesan - PeerSpot reviewer
Scrum Master/ Agile Coach at Porch Group
Offers automatic scaling features but can improve user interface and setup guidance
Customizable policies help us determine how scaling should occur. In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable policies allow appropriate scaling. For critical servers, we can set up a higher number of new instances to scale out to prevent downtime. For less critical servers that perform simple tasks such as file copying, we can use customizable policies to scale out minimal instances to avoid unnecessary expenses or cloud costs. Regarding integration, there are some disadvantages in AWS where certain availability zones or regions experience glitches. This can cause production halts because of problems on Amazon's side. In particular regions, when integrating Amazon EC2 Auto Scaling or other services, there might be delays in creating new Amazon EC2 instances, sometimes becoming inefficient.
KS
Dev Ops Engineer at a construction company with 11-50 employees
Intelligent autoscaling has cut compute costs and now manages ephemeral workloads efficiently
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights into Kubernetes resource usage would be beneficial. Overall, it is a really good platform that is quite mature and stable. I chose a rating of nine because it may sometimes be a bit overwhelming for newcomers, and there are also a few areas in which the EKS Kubernetes level granularity is a little missing. Overall, I think Spot is a really good and stable tool.
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
University
9%
Computer Software Company
8%
Manufacturing Company
8%
Manufacturing Company
18%
Computer Software Company
16%
Healthcare Company
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise9
Large Enterprise27
No data available
 

Questions from the Community

What do you like most about Amazon EC2 Auto Scaling?
The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool e...
What is your experience regarding pricing and costs for Amazon EC2 Auto Scaling?
Regarding licensing and setup costs, we always study in detail using lower environments such as User Acceptance Testing or sandbox environments. Before creation, we consult AWS official documentati...
What needs improvement with Amazon EC2 Auto Scaling?
I don't work with predictive scaling. I know this feature, but I have never worked with it. For me, availability is something different. If you want to set up your application to be highly availabl...
What do you like most about Spot Ocean?
The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.
What needs improvement with Spot Ocean?
Spot can be improved by adding deeper multi-cloud integrations, enhancing real-time security automation, and continuously making advancements based on customer feedback.
What is your primary use case for Spot Ocean?
I have been using Spot for five years. My main use case for Spot is cloud optimization.We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company al...
 

Also Known As

AWS RAM
Spot Ocean, Spot Elastigroup, Spot Eco
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster
Find out what your peers are saying about Amazon EC2 Auto Scaling vs. Spot by Flexera and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.