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).


| Product | Market Share (%) |
|---|---|
| AWS Lambda | 16.6% |
| AWS Batch | 15.6% |
| Apache Spark | 11.4% |
| Other | 56.4% |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Apache Spark | 4.2 | 11.4% | 90% | 68 interviewsAdd to research |
| Apache NiFi | 3.9 | 9.3% | 92% | 13 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 13 |
| Large Enterprise | 40 |
| Company Size | Count |
|---|---|
| Small Business | 68 |
| Midsize Enterprise | 31 |
| Large Enterprise | 178 |
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.
Netflix
| Author info | Rating | Review Summary |
|---|---|---|
| Co-Founder and CTO at Gamucopia Creatives | 4.5 | I've used AWS Lambda for five years within a serverless architecture; it scales automatically and is easy to use, though cold start times need improvement. Overall, it's effective for lightweight tasks and integrates well with other AWS services. |
| Assistant Manager at a tech vendor with 10,001+ employees | 4.0 | I've used AWS Lambda for years to build serverless solutions for clients. It's easy to integrate and scalable, though monitoring and memory limits need improvement. Setup is fast, and we've had no stability or reliability issues. |
| AWS Developer at Centrica | 4.0 | No summary available |
| DevOps Engineer | Cloud Architect & Automation Specialist | Kubernetes, Terraform, Ansible, AWS EKS at Phoenix Marketing & Advertising | 4.5 | I use AWS Lambda for real-time media processing due to its event-driven architecture, automatic scaling, and cost-effective pay-per-use model. Despite limitations like execution timeout, it's preferred over alternatives for its integration with AWS services. |
| AWS Cloud Architect at a healthcare company with 10,001+ employees | 4.0 | No summary available |
| AWS Academy Accredited Instructor - ACF & CCA at APU | 4.5 | No summary available |
| Senior Business Solutions Consultant at Conn3ct | 4.5 | No summary available |
| IT Support Specialist at Trinity University | 3.5 | No summary available |