Compare AWS Lambda vs. Amazon Virtual Private Cloud

Amazon Virtual Private Cloud is ranked 8th in Compute Service while AWS Lambda is ranked 2nd in Compute Service with 4 reviews. Amazon Virtual Private Cloud is rated 0, while AWS Lambda is rated 7.6. On the other hand, the top reviewer of AWS Lambda writes "Simple to set up, scales well, and integrates well with other AWS services". Amazon Virtual Private Cloud is most compared with , whereas AWS Lambda is most compared with Apache NiFi, Apache Spark and Apache Storm.
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Most Helpful Review
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Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: September 2019.
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Ranking
8th
out of 9 in Compute Service
Views
17
Comparisons
2
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
out of 9 in Compute Service
Views
3,831
Comparisons
3,328
Reviews
3
Average Words per Review
406
Avg. Rating
7.3
Top Comparisons
Compared 38% of the time.
Compared 34% of the time.
Compared 7% of the time.
Also Known As
Amazon VPC
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Overview

Amazon Virtual Private Cloud (Amazon VPC) lets you provision a logically isolated section of the AWS Cloud where you can launch AWS resources in a virtual network that you define. You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways. You can use both IPv4 and IPv6 in your VPC for secure and easy access to resources and applications.

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.

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Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: September 2019.
372,374 professionals have used our research since 2012.
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.
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