AWS Lambda

AWS Lambda

Top Rated
About TrustRadius Scoring
Score 8.9 out of 100
Top Rated
AWS Lambda

Overview

Recent Reviews

Power of lambda

10 out of 10
June 03, 2021
Process terabytes of data broken down into small files of 70MB each. Our Lambdas spin an instance for each file and process it within 30 …
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AWS Lambda for developers

9 out of 10
May 12, 2021
AWS Lambda serves various purpose accross teams
1. We mainly use AWS Lambda when we have very short time to productionise code and have …
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Awards

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Popular Features

View all 11 features

Scalability (48)

9.3
93%

Services-enabled integration (47)

8.9
89%

Platform management overhead (44)

8.7
87%

Issue monitoring and notification (44)

8.6
86%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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128 MB

$0.0000000021

Cloud
Per 1 ms

1024 MB

$0.0000000167

Cloud
Per 1 ms

10240 MB

$0.0000001667

Cloud
Per 1 ms

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Features Scorecard

Platform-as-a-Service

8.6
86%

Product Details

What is AWS Lambda?

AWS Lambda is a serverless computing platform that lets developers run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes care of requirements to run and scale code with high availability. Users pay only for the compute time they consume—there is no charge when their code is not running.

Developers uploading to Lambda don’t have to deal with their code’s environment. It’s a “serverless” service which lets outside code or events invoke functions. Lambda doesn’t store data, but it allows access to other services which do. Users can set up their code to automatically trigger from other AWS services or call it directly from any web or mobile app.

AWS Lambda Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Frequently Asked Questions

What is AWS Lambda?

AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.

What is AWS Lambda's best feature?

Reviewers rate Scalability highest, with a score of 9.3.

Who uses AWS Lambda?

The most common users of AWS Lambda are from Mid-sized Companies (51-1,000 employees) and the Computer Software industry.

Reviews and Ratings

 (309)

Ratings

Reviews

(1-25 of 48)
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Nikhil Singh | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Compressing image while uploading it to S3 bucket can be easily done using lambda. While if your workload require lot of execution time or there is large amount of data to be processed, also workload where tweaking environment to suit workload, lambda can be less appropriate. Instead other computer service like EC2 and elastic beanstalk can be well suited for such task.
Score 8 out of 10
Vetted Review
Verified User
Review Source
I would recommend using AWS Lambda when you have one-off tasks that can be accomplished with a single function and do not require a persistent, constantly running compute resource. Some example use cases include file or image processing, data analytics (you might have DynamoDB stream updates to AWS Lambda for processing), in conjunction with API Gateway as a backend.
I would not recommend using AWS Lambda when your Lambda function has potentially long-running, asynchronous calls involved (e.g., calling out to a service hosted in another cloud platform). This can drive up execution time and, in turn, cost. While Lambda layers allow you to share code between Lambda functions, I would not recommend AWS Lambda for cases where there are high degrees of interdependence between the Lambdas. I think that Lambdas work better when considered isolated.
Erlon Sousa Pinheiro | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
I believe the main concern is about costs. If your function calls generates profit, no problem with the amount, as more [is] better. But if this is not the case and your user case trends to grow without associate profit, maybe by provisioning dedicated resources (EC2 instances for example) to run your functions will hurt less in your wallet.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Well suited:
1. when we need to worry about time to market and we don’t have infra defined.

Not suited:
1. Not suited for Business Client transactions as its server are located out of Switzerland and hence country laws are different
Score 8 out of 10
Vetted Review
Verified User
Review Source
Working with Web and mobile apps well suited for Lambda. It provides a clear support path and improvement. Also it helps to reduce cost and accelerate speed of reaction on changes.

A sess appropriate scenario would be when CIO push to implement new technology and services without clear understanding of the results and project needs.
Score 10 out of 10
Vetted Review
Verified User
Review Source
A great example of using AWS Lambda is when your application needs to be able to render images for the user and have those images be resized and optimized on load. Using AWS Lambda you can create endpoints with a minimal amount of code that allows your applications to request the images and use query parameters to declare the height and width etc.
Sai Sreenivas Addepalli | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
AWS Lambda is most suited as a Serverless methodology. When you do not want to handle the software and only want to work on logic and code development, AWS Lambda is the best option. You can also trigger AWS Lambda from many AWS services like when a new row is added into DynamoDB or when a new file is uploaded to S3 or also when you want to execute Lambda once a day or at a specific intervals(cron jobs).
Ravi Khunt | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
AWS Lambda works very well when you want to execute some code without our server interaction.
It provides sample code also, so you can quick start building our own functions.

AWS Lambda has very much pre-defined expression structure which can fit almost all our scheduler job requirements.
It also provides test functionality to test function before go to live.
Michael Jenkins | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
I would definitely recommend using Lambda for short-running, event-triggered processes that are dedicated to a single function. This could be for one-off processing or intermediate tasks between other resources like objects stored in buckets and queues for processing those objects. Also, since Lambda executions can be scheduled, processes that need to happen on regular intervals can be implemented with Lambda as well.
I would not recommend using Lambda for anything that needs to run longer than a few seconds. Long running processes like ETL jobs or intensive computations may be better suited for step functions, batch jobs, or even a server based approach.
Score 9 out of 10
Vetted Review
Verified User
Review Source
The main area in my point of view is the automation reduction of costs. You can program and use Lambda to execute several tasks based in several types of events like logs, schedules, and output from other AWS tools. With the AWS API, you can do almost anything you want and your function will use only the needed resource (memory, cpu) so it is optimized.
Score 8 out of 10
Vetted Review
Verified User
Review Source
AWS Lambda is a great way to deploy smaller-scale data synchronization jobs and other "housekeeping" routines that don't require preservation of state. We use it to build API gateway tools used by our larger applications (many of which are hosted on AWS EC2 instances) and it's a perfect fit.

If you have complicated workflows that run a long time, or require state to be saved between function calls, AWS Lambda is probably not the right choice for a serverless solution.
Jesse Bickel, MS - PMP | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
I know a lot of our developers use this personally to develop Alexa skills. The best use case for us is building simple rest API's with minimal effort and overhead. It is easy to use and scalable. You can also through a lot of load against it very quickly with little to no performance issues that I have seen. Also, it is very well suited in environments where developers have language freedoms.
Jacob Biguvu | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
AWS Lambda is best for short-lived applications/codes. Configure AWS Lambda to act based on the events that are produced on certain services. It works. We used it to move the RDS snapshot from WEST to EAST and EAST to WEST whenever the RDS automatic backups are done. It helps in other scenarios, like when application teams don't have a server or don't have a place to run a job on a regular basis. Then we can leverage this AWS Lambda to run the code against the database. As I mentioned, this is not suited for long-lived applications.
Score 8 out of 10
Vetted Review
Verified User
Review Source
AWS Lambda is great for atomic micro services and being leveraged as a conduit for other Amazon services. It's great for a quick way to innovate other resources that you already have on the platform. It marries well with the ecosystem and allows for easy deployments and updates to the program based on the tools.
Score 9 out of 10
Vetted Review
Verified User
Review Source
For its price, flexibility, and integration with other tools, AWS Lambda is the most popular serverless functions platform for a reason. In my opinion, it's best used as the backing behind some higher abstraction like Serverless or even Netlify Functions, but from what I've seen, it would be a great option even if used directly. In generall, serverless architecture works well for stateless applications, API aggregation, event-driven processes, and where the scale/demand is unpredictable.
Score 8 out of 10
Vetted Review
Verified User
Review Source
If you're not afraid to get your hands dirty in wiring things up yourselves or you can use AWS' own abstractions like Amplify or SAM, then Lambdas and their surrounding platform pairings (Like SQS, API gateway) are great tools that can help you create a backend or infrastructure for a relatively low cost. If you don't find yourself in that camp, but you know your way around full-stack JavaScript frameworks and tooling, you may be better served with a higher level abstraction like what Zeit Now or Netlify offers.