AWS Lambda vs Amazon EC2 Auto Scaling comparison

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3,089 views|2,693 comparisons
100% willing to recommend
Amazon Web Services (AWS) Logo
11,937 views|8,175 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
"Service for launching or terminating Amazon EC2 instances, with good scalability and stability.""The initial setup of Amazon EC2 Auto Scaling is easy...Since we are an enterprise-sized company and a client of Amazon, the response from the technical support team was immediate.""The solution is scalable.""The initial setup is straightforward.""Having a load balancer in between is very helpful when you have huge traffic.""Auto-scaling is a good feature.""We appreciate that this solution allows us to run all of our severs through it, meaning that our workloads are mainly on the EC2 instance only.""The documentation is good."

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"The most valuable feature is that it scans the cloud system and if they are any security anomalies it triggers an email.""The utilization of containers is particularly beneficial in overcoming the size limitations imposed on Lambda functions which not only allows us to work around these constraints but also contributes to the improvement and maintenance of our code.""The solution is designed very well. You don't need to keep a server up. You just need some router to route your API request and Lambda provides a very well-designed feature to process the request.""Some of the most valuable features are that it's easy to install and use. The performance is also good.""The support from AWS Lambda is very good, they are responsive.""We have no issues with the technical support.""It is a scalable solution.""It is my preferred product, as it provides me with source code within the solution."

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Cons
"The documentation for this solution could be improved. For example, it is difficult to find documentation for integration with applications.""We would like to see improvement in the UI for this solution, so that it is more user-friendly.""There is room for improvement in the pricing model.""Could integrate more with other platforms.""The pricing could be reduced.""The product does not explain why a particular instance is terminated.""When creating a new instance there is a set of questions that have to be answered, and this is something that can be simplified.""There is room for improvement. You might end up paying a high price if you're not careful and you provision a server that's underutilized."

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"Its price should be improved. Its pricing is on the higher side. I am not sure if it currently supports the Go language. If it doesn't support the Go language, they can introduce it.""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 would benefit from a debugging feature as well.""There's room for improvement in the solution's warm start, which refers to the minimum time it takes to start up a Lambda function if you haven't been running it.""The user-friendliness of the solution could be improved.""The metrics and reporting for this solution could be improved.""I think that perhaps Lambda could explore its functionality more.""If it is a specific ETL process or a long-term one, then AWS Lambda is not a good option."

More AWS Lambda Cons →

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
    3,089
    Comparisons
    2,693
    Reviews
    31
    Average Words per Review
    327
    Rating
    9.0
    1st
    out of 16 in Compute Service
    Views
    11,937
    Comparisons
    8,175
    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.