Compare AWS Lambda vs. Amazon EC2 Auto Scaling

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Top Review
Find out what your peers are saying about AWS Lambda vs. Amazon EC2 Auto Scaling and other solutions. Updated: September 2021.
536,114 professionals have used our research since 2012.
Quotes From Members

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

"It's good performance-wise.""The monitoring tool is helpful.""The most valuable features are that it is stable, flexible, and reliable."

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"The most valuable feature of this solution is the API Gateway.""The most valuable feature is that it scans the cloud system and if they are any security anomalies it triggers an email.""The ease and speed of developing the services using any available language is the most valuable feature.""It's a serverless solution which is the best feature. It helps us because it offers free aspects. From the infrastructure perspective, it helps us manage costs. There is no overhead of estimating how much infrastructure we're going to need. We can focus on building the business functionality that we want to build.""The cool thing about AWS Lambda is that AWS does all the management. For compression, it is all about making the data small and then making it regular size again. We have an encode function and a decode function. AWS Lambda schedules each of those for us. It has a load balancer and all the fancy stuff, depending on the demand. The most valuable part of AWS Lambda is that I only need to write the software. I need to write two functions, and my cloud developer turns them into two AWS Lambda instances. That's it.""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.""Amazon takes care of the scalability. That's the right way. It's automatic and it's fully managed. That's one benefit of Lambda.""The basic feature that I like is that there is no server installation. It also has good support for various languages, such as Java, .NET, C#, and Python."

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"Scalability can be improved.""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 technical support needs to be improved."

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"The security needs to be improved.""The running time of AWS Lambda runs fine. It takes around five minutes but it would be great if that time could be extended.""The product needs some updating as far as ease-of-customization and configuration opportunities to work with solutions outside of the cloud.""If you are setting it up on hybrid solution, there is a lot of work that needs to go in.""One area of improvement is to include support for more programming languages. AWS Lambda does not support a lot of programming languages. You have to write the Lambda functions in a certain programming language. We are using C++. My developer knows a couple of other languages. Python is his favorite language, but Python is not supported in AWS Lambda.""We need to better understand Lambda for different scenarios. We need some joint effort between Amazon and the users to have the users identify how they can really leverage Lambda. It's not about Lambda itself; it's about the practice, the guidance. There needs to be very good documentation. From the user perspective, what exists now is not always enough.""I think that perhaps Lambda could explore its functionality more.""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."

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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."

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"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."

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Questions from the Community
Top Answer: The most valuable features are that it is stable, flexible, and reliable.
Top Answer: The price of this product could be a little bit lower.
Top Answer: The technical support needs to be improved. From a usage perspective, it runs well, although there may be a use case where it will break that I have not yet come across.
Top Answer: The solution is highly scalable.
Top Answer: The user-friendliness of the solution could be improved. If it was easy to run with the same function in other platforms, other environments, that would make it more portable. That would be really… more »
out of 14 in Compute Service
Average Words per Review
out of 14 in Compute Service
Average Words per Review
Also Known As
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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.

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Top Industries
Media Company25%
Computer Software Company24%
Comms Service Provider17%
Computer Software Company44%
Healthcare Company11%
Venture Capital & Private Equity Firm11%
Financial Services Firm11%
Computer Software Company23%
Media Company21%
Comms Service Provider17%
Financial Services Firm6%
Company Size
No Data Available
Small Business33%
Midsize Enterprise11%
Large Enterprise56%
Find out what your peers are saying about AWS Lambda vs. Amazon EC2 Auto Scaling and other solutions. Updated: September 2021.
536,114 professionals have used our research since 2012.

Amazon EC2 Auto Scaling is ranked 7th in Compute Service with 3 reviews while AWS Lambda is ranked 2nd in Compute Service with 14 reviews. Amazon EC2 Auto Scaling is rated 8.0, while AWS Lambda is rated 8.6. The top reviewer of Amazon EC2 Auto Scaling writes "Stable, flexible, reliable, and scales up or down automatically according to your requirements". On the other hand, the top reviewer of AWS Lambda writes "Programming is getting much easier and does not need a lot of configuration ". Amazon EC2 Auto Scaling is most compared with AWS Fargate, Apache NiFi, Amazon Elastic Inference and Oracle Compute Cloud Service, whereas AWS Lambda is most compared with AWS Batch, Apache NiFi, Apache Spark, Azure Stream Analytics and StackStorm. See our AWS Lambda vs. Amazon EC2 Auto Scaling report.

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