AWS Lambda vs Amazon EC2 Auto Scaling comparison

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3,024 views|2,628 comparisons
100% willing to recommend
Amazon Web Services (AWS) Logo
11,305 views|7,691 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Oct 30, 2022

We performed a comparison between Amazon EC2 Auto Scaling and AWS Lambda based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: For the most part, users of both solutions feel their installation and deployment are simple and straightforward.
  • Features: Users find Amazon EC2 Auto Scaling to be stable, flexible, and reliable. They say the solution is simple to use, deploys resources as needed, and can easily be adjusted down (or up again) as business needs change. Many users feel documentation could be improved and sizing options should be adjusted to match business needs better and be more cost-effective.

    AWS Lambda is serverless and scalable. Auto scale and other similar features are just inherent in Lambda. The event-based triggers are really good for a reactive style so users are able to effectively manage events as they happen. Some users feel the GUI could be improved to give it a more modern feel and that metrics and reporting need to be improved.
  • Pricing: Users feel pricing for both solutions is reasonable.
  • Service and Support: Overall, users of both solutions are satisfied with their service and support.

Comparison Results: Both products are very effective in providing compute service (IaaS) solutions. AWS Lambda slightly nudges ahead of Amazon EC2 Auto Scaling as many users feel it is easier to code using the solution. AWS Lambda is serverless, server configuration is not required, and can easily run it directly anywhere.

To learn more, read our detailed AWS Lambda vs. Amazon EC2 Auto Scaling Report (Updated: May 2024).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product’s most valuable feature is the seamless resizing of web connection.""Most of what I've deployed are CI/CD pipelines. AWS is scalable. You can always increase or adjust the resources to meet the specific requirements. I also like choosing an instance in any location, preferably the closest one. We don't have any AWS locations in South Africa, but the latency is about the same as hosting in Europe.""The support from Amazon EC2 Auto Scaling is very good.""What we have found most valuable are the purchasing of usage at the time and small storage.""The solution is scalable.""The solution incorporates ease of maintenance and reduction in operational overhead and costs. Patching is also easy.""The most valuable feature of Amazon EC2 Auto Scaling is scaling your intra based on the request. Additionally, you are able to map the solution with any load balancer, such as public or private load balancers.""The product's most valuable features are high availability and persistence."

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"I like the pay-for-what-you-use feature. This is the main reason why we use AWS Lambda. I don't have to manage servers; I just have to configure Lambda and expose it to an API gateway.""The most valuable feature is that there is no need to implement it in a server because it is a service.""AWS Lambda's best features are log analysis and event triggering and actioning.""The solution works for small applications. It is a serverless tool that is quick to spin up. We needn’t consider anything in the bag.""The most valuable feature of this solution is the API Gateway.""The tool scales automatically based on the number of incoming requests.""It enables the launch of thousands of instances simultaneously,""The programming language and the integration with other AWS services are the most valuable features."

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Cons
"The licensing cost is expensive.""The technical support needs to be improved.""The price could always be a bit better.""The primary area for improvement is the pricing model.""There is room for improvement in the scalability.""The product's setup is complex for an intermediate user.""When creating a new instance there is a set of questions that have to be answered, and this is something that can be simplified.""The spinning up in the solution can be much faster...The product should have a faster scalability option."

More Amazon EC2 Auto Scaling Cons →

"AWS Lambda has some size limitations in the code line, you can't do a couple of functions to do the job.""Its performance can be improved. There should also be more dynamic security permissions.""They should work on the solution's stability and pricing.""I would like to see some better integration with other providers, like Cohesity, Druva, and others. I also think the Lambda interface could be better.""Lambda has limitations on the amount of memory you can use and is not a good solution for long running processes.""I would like the layers to have a bigger volume. I would like to be able to add more. I don't want to be limited by the layer.""Lambda can only be used in one account; there's no possibility to utilize it in another account.""The price in general could always be better."

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Pricing and Cost Advice
  • "Pricing could be a little bit more competitive."
  • "The pricing is not fixed and it is based on usage."
  • "The price of this product could be a little bit lower."
  • "Licensing fees are paid on a yearly basis."
  • "I have not explored the price of the solution extensively, but from what I have seen the price is alright."
  • "When we want to use more services, we need to pay more. It's a monthly subscription, rather than licensed-based. Pricing or fees for Amazon EC2 Auto Scaling could be improved."
  • "The solution pricing varies by service region is mid-range."
  • "Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."
  • More Amazon EC2 Auto Scaling Pricing and Cost Advice →

  • "AWS is slightly more expensive than Azure."
  • "Its pricing is on the higher side."
  • "The price of the solution is reasonable and it is a pay-per-use model. It is very good for cost optimization."
  • "The cost is based on runtime."
  • "The fees are volume-based."
  • "AWS Lambda is inexpensive."
  • "Lambda is a good and cheap solution and I would recommend it to those without a huge payload."
  • "For licensing, we pay a yearly subscription."
  • More AWS Lambda Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those… more »
    Top Answer:The solution's pricing is expensive. You pay based on how much you use it, like paying for the time or hours you use the service. There's no need to buy hardware separately.
    Top Answer:AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use… more »
    Top Answer:The tool scales automatically based on the number of incoming requests.
    Top Answer:We only need to pay for the compute time our code consumes. The solution does not cost much.
    Ranking
    2nd
    out of 16 in Compute Service
    Views
    3,024
    Comparisons
    2,628
    Reviews
    33
    Average Words per Review
    357
    Rating
    8.9
    1st
    out of 16 in Compute Service
    Views
    11,305
    Comparisons
    7,691
    Reviews
    39
    Average Words per Review
    391
    Rating
    8.6
    Comparisons
    Also Known As
    AWS RAM
    Learn More
    Overview

    Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.

    AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).

    You can use AWS Lambda to run your code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table; to run your code in response to HTTP requests using Amazon API Gateway; or invoke your code using API calls made using AWS SDKs. With these capabilities, you can use Lambda to easily build data processing triggers for AWS services like Amazon S3 and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or create your own back end that operates at AWS scale, performance, and security.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Netflix
    Top Industries
    REVIEWERS
    Computer Software Company44%
    Financial Services Firm16%
    Comms Service Provider8%
    Energy/Utilities Company4%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company13%
    University9%
    Government7%
    REVIEWERS
    Financial Services Firm24%
    Computer Software Company21%
    Non Profit5%
    Educational Organization5%
    VISITORS READING REVIEWS
    Educational Organization48%
    Financial Services Firm12%
    Computer Software Company8%
    Manufacturing Company4%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise10%
    Large Enterprise66%
    REVIEWERS
    Small Business38%
    Midsize Enterprise15%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise52%
    Large Enterprise38%
    Buyer's Guide
    AWS Lambda vs. Amazon EC2 Auto Scaling
    May 2024
    Find out what your peers are saying about AWS Lambda vs. Amazon EC2 Auto Scaling and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 39 reviews while AWS Lambda is ranked 1st in Compute Service with 70 reviews. Amazon EC2 Auto Scaling is rated 8.8, while AWS Lambda is rated 8.6. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". On the other hand, the top reviewer of AWS Lambda writes "An easily scalable solution with a variety of use cases and valuable event-based triggers". Amazon EC2 Auto Scaling is most compared with AWS Fargate, AWS Batch, Oracle Compute Cloud Service and Amazon Elastic Inference, whereas AWS Lambda is most compared with AWS Batch, Apache NiFi, Apache Spark, AWS Fargate and Google Cloud Dataflow. See our AWS Lambda vs. Amazon EC2 Auto Scaling report.

    See our list of best Compute Service vendors.

    We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.