AWS Lambda Reviews

Name: AWS Lambda
Brand: Amazon Web Services (AWS)
Rating: 4.3 (89 reviews)

4.3 out of 5

89 reviews
94% willing to recommend

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 8.6 out of 10. AWS Lambda is most commonly compared to Apache Spark: AWS Lambda vs Apache Spark. AWS Lambda is popular among the large enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.

Helped 865,140 peers since 2012

Featured AWS Lambda reviews

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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VijayKumar27

Software Engineer at The American College

It has access to various other AWS resources like S3. You can use it to configure event-based triggers or conditions. You don't need to configure the servers; it will automatically execute the job and go idle. In that regard, Lambda is good and serves the purpose. Integration capabilities: They have the built-in IDE, so everything happens without integration issues. AI-features: Just the Amazon Q [Amazon Simple Queue Service (SQS)] will also be there, like a pop-up in the AWS console. We can use that for Lambda as well, but no other integration. I wish there were AI integration for the code, like CodeWhisperer. That would be a good add-on.

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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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AWS Lambda mindshare

As of August 2025, the mindshare of AWS Lambda in the Compute Service category stands at 19.4%, up from 19.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Compute Service

PeerResearch reports based on AWS Lambda reviews

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

Title	Rating	Mindshare	Recommending
Apache Spark	4.2	12.0%	90%	67 interviews Add to research
AWS Fargate	4.3	12.9%	100%	18 interviews Add to research

Valuable Features

AWS Lambda excels with its serverless architecture, enabling event-driven execution, automatic scaling, and integration with other AWS services. It supports multiple languages with easy deployment and maintenance, reducing infrastructure costs. Its pay-per-use model enhances cost-efficiency. Developers appreciate its ease of integration, coding flexibility, and robust scalability for various applications. It optimizes workflows by eliminating server management, benefiting from high availability, fault tolerance, and reduced setup complexity. Users value Lambda's performance and seamless AWS ecosystem integration.

"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

AWS Lambda requires improvements in integration with external platforms and providers. There are issues with user-friendliness and customization options. The runtime and execution limits are challenging for longer processes. Language support is limited, reducing flexibility and compatibility. Monitoring and error management are complex, and cold start latency hampers performance. Memory constraints and event-driven execution limits are also concerns. Pricing and support for new users could be better.

"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."

ROI

AWS Lambda users report a strong return on investment due to its cost efficiency and pay-per-use pricing. By minimizing infrastructure needs and overhead, Lambda reduces costs significantly. Its serverless design and automatic scaling offer financial benefits and increased productivity. Users experience high savings compared to traditional on-premise solutions, leading to substantial capital expenditure reductions. Customers highlight Lambda's effectiveness in lowering costs while maintaining performance, with savings reaching up to 90 percent in some cases.

Pricing

AWS Lambda's pricing is generally seen as cost-effective, with its pay-as-you-go model being advantageous for enterprises. Initial costs may be low, particularly due to the free tier offering one million requests monthly. However, higher frequency usage or long-running functions can lead to increased expenses. The solution's pricing, based on requests and compute time, is competitive when compared to traditional server-based methods, offering significant savings for smaller or infrequent workloads.

"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."

Popular Use Cases

AWS Lambda facilitates event-driven, serverless computing for automation, data processing, and scalable applications. Organizations use it for API management, real-time data transformations, and mobile or web backend orchestration. By leveraging Lambda's integration with AWS services like S3 and DynamoDB, teams efficiently manage code execution without server provisioning. Its popularity stems from cost-effectiveness, flexibility in multi-language support, and robust handling of microservices, benefiting customers in diverse operational scenarios.

Service and Support

AWS Lambda's customer service and support are highly regarded, with many users indicating satisfaction due to prompt and responsive assistance. Enterprises with higher-tier plans experience quick responses, and users appreciate the comprehensive documentation available, which often reduces the need for direct support. However, some note the support can be costly, and self-service resources are frequently sufficient for troubleshooting. Many find AWS's technical support effective, though improvements in local support availability are suggested.

Deployment

Users find AWS Lambda's initial setup mostly straightforward, especially for those familiar with coding. Many appreciate comprehensive documentation and deployment speed, while some highlight challenges for beginners. Coding experience aids simplicity, with features like AWS's console and templates enhancing usability. AWS Lambda's deployment, especially on the public cloud, is rapid, requiring minimal configurations. Experienced users manage setup with ease, but those new to AWS might face a learning curve.

Scalability

AWS Lambda scales rapidly, handling large workloads effortlessly. Its auto-scaling capabilities make it ideal for diverse demands, although cost considerations exist. It accommodates enterprise needs seamlessly and integrates well with AWS services. Users report positive scalability experiences, supporting massive traffic without manual intervention. While some mention limitations or context-specific challenges, it remains highly effective for adaptable applications. AWS Lambda's scalability is often rated highly, underscoring its ability to efficiently manage fluctuating demands.

Stability

AWS Lambda is considered highly stable by many users. They note its reliable performance, absence of bugs, and ease of monitoring via AWS tools like CloudWatch. Though some mention minor issues like time-out errors or cold start latency, these are not frequent. Users appreciate its auto-scaling and distributed architecture, contributing to consistent uptime and functionality. Stability ratings typically range between eight to ten out of ten, reflecting user confidence in its capabilities.

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

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Top industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

12%

Manufacturing Company

University

Educational Organization

Insurance Company

Government

Real Estate/Law Firm

Healthcare Company

Retailer

Comms Service Provider

Construction Company

Recreational Facilities/Services Company

Performing Arts

Marketing Services Firm

Wholesaler/Distributor

Energy/Utilities Company

Media Company

Renewables & Environment Company

Legal Firm

Pharma/Biotech Company

Transportation Company

Non Profit

Agriculture

Outsourcing Company

Engineering Company

Logistics Company

Consumer Goods Company

Hospitality 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.