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AWS Lambda Logo
6,654 views|6,210 comparisons
StackStorm Logo
433 views|283 comparisons
Quotes From Members

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

Pricing and Cost Advice
"The cost is based on runtime.""AWS Lambda is inexpensive.""The fees are volume-based.""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.""Lambda is a good and cheap solution and I would recommend it to those without a huge payload."

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Questions from the Community
Top Answer: AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use… more »
Top Answer: The solution is highly scalable.
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Ranking
2nd
out of 14 in Compute Service
Views
6,654
Comparisons
6,210
Reviews
15
Average Words per Review
523
Rating
8.6
12th
out of 14 in Compute Service
Views
433
Comparisons
283
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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StackStorm
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Overview

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.

StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built for DevOps and ChatOps.
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Sample Customers
Netflix
Cisco, Netflix, NASA, Cybera
Top Industries
REVIEWERS
Computer Software Company36%
Financial Services Firm21%
Healthcare Company7%
Venture Capital & Private Equity Firm7%
VISITORS READING REVIEWS
Computer Software Company23%
Media Company20%
Comms Service Provider18%
Financial Services Firm7%
VISITORS READING REVIEWS
Computer Software Company26%
Retailer19%
Comms Service Provider14%
Insurance Company6%
Company Size
REVIEWERS
Small Business30%
Midsize Enterprise9%
Large Enterprise61%
No Data Available
Find out what your peers are saying about Apache, Amazon, Zadara and others in Compute Service. Updated: November 2021.
552,136 professionals have used our research since 2012.

AWS Lambda is ranked 2nd in Compute Service with 18 reviews while StackStorm is ranked 12th in Compute Service. AWS Lambda is rated 8.4, while StackStorm is rated 0.0. The top reviewer of AWS Lambda writes "Programming is getting much easier and does not need a lot of configuration ". On the other hand, AWS Lambda is most compared with AWS Batch, Apache NiFi, Apache Spark, Azure Stream Analytics and Amazon EC2, whereas StackStorm is most compared with Apache Spark, Apache Storm, Apache NiFi, Google Cloud Dataflow and IBM Streams.

See our list of best Compute Service vendors.

We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.