AWS Lambda Reviews

Name: AWS Lambda
Brand: Amazon Web Services (AWS)
Rating: 4.2 (83 reviews)

Vendor: Amazon Web Services (AWS)

4.2 out of 5

83 reviews
94% willing to recommend

451 followers

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What is AWS Lambda?

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).

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AWS Lambda is the #1 ranked solution in top Compute Service solutions. PeerSpot users give AWS Lambda an average rating of 8.4 out of 10. AWS Lambda is most commonly compared to Apache Spark: AWS Lambda vs Apache Spark. AWS Lambda is popular among the midsize enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 63% of all views.

Helped 831,020 peers since 2012

Featured reviews

Wai L Lin O

Cloud Engineer - Supervisor at KBZ Bank

We use AWS Lambda because it provides a solution for our needs without requiring us to manage our infrastructure. With the tool, we only pay for the resources we use. Additionally, it is straightforward to implement and integrates with other services like API Gateway. The tool's serverless nature has had the most significant impact on our workflow. I find it particularly attractive because it eliminates the need for managing servers. In my previous experience, managing upgrades and updates was quite challenging. The solution's integration process with other AWS services was relatively easy. We primarily use AWS services such as EventBridge for scheduling processes and log management.

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Khaled Saidi

DevOps Engineer | Cloud Architect & Automation Specialist | Kubernetes, Terraform, Ansible, AWS EKS at Phoenix Marketing & Advertising

One area where AWS Lambda could be improved is the execution timeout limit, which is currently capped at 15 minutes. This is restrictive for tasks that require longer processing times, such as complex data analysis or large-scale batch processing. Additionally, the environment customization is limited, particularly with regard to file system access, persistent storage, and certain execution capabilities, which can be restrictive for more advanced use cases. Another area for improvement is the cold start latency, which can add significant overhead to the execution time, especially for applications with infrequent or unpredictable invocations. For future releases, it would be helpful if AWS Lambda allowed for longer execution times or offered an option for more flexible execution environments. Reducing cold start latency or offering features like provisioned concurrency with more granular control could also help improve the overall performance and responsiveness of Lambda functions.

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Andrew-Wong

AWS Developer at Centrica

Having a better preview would be helpful. Sometimes, if my Lambda code is too big, it can be inconvenient as I'm unable to see my code when it exceeds a certain size. AWS has a limit, like a three-megabyte limit, beyond which I cannot view or edit the code easily.

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AWS Lambda mindshare

As of January 2025, the mindshare of AWS Lambda in the Compute Service category stands at 20.4%, down from 27.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Compute Service

PeerAnalyst reports

Type	Title	Date
Category	Compute Service	Jan 17, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 17, 2025	Download
Comparison	AWS Lambda vs Amazon EC2 Auto Scaling	Jan 17, 2025	Download
Comparison	AWS Lambda vs AWS Fargate	Jan 17, 2025	Download
Comparison	AWS Lambda vs Apache Spark	Jan 17, 2025	Download

Title	Rating	Mindshare	Recommending
Apache Spark	4.2	11.4%	90%	64 interviews Add to research
AWS Batch	4.5	19.7%	100%	4 interviews Add to research

Valuable Features

"Lambda allows you to focus on the code itself."
"The fact that it is serverless is really important."
"What I like most about AWS Lambda is that it's very easy to deploy."

Room for Improvement

"Having a better preview would be helpful."
"The runtime could be improved. There are certain use cases where I need a Lambda function to run longer."
"The way Lambda works with HTTP headers is a bit odd."

Pricing

"AWS Lambda is not expensive for micro testing but is expensive if used for long deployment or long services."
"The solution is free of cost for the first year, and after that, it becomes expensive."
"It costs maybe less than $10 per month in my use case."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our AWS Lambda Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

63%

Financial Services Firm

Computer Software Company

Manufacturing Company

University

Government

Retailer

Healthcare Company

Insurance Company

Real Estate/Law Firm

Energy/Utilities Company

Comms Service Provider

Media Company

Wholesaler/Distributor

Construction Company

Recreational Facilities/Services Company

Legal Firm

Transportation Company

Outsourcing Company

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Learn more about AWS Lambda

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.