Compare AWS Lambda vs. Azure Stream Analytics

AWS Lambda is ranked 2nd in Compute Service with 4 reviews while Azure Stream Analytics is ranked 2nd in Streaming Analytics with 1 review. AWS Lambda is rated 7.6, while Azure Stream Analytics is rated 8.0. The top reviewer of AWS Lambda writes "Simple to set up, scales well, and integrates well with other AWS services". On the other hand, the top reviewer of Azure Stream Analytics writes "Helps us focus on critical security issues, among our multiple systems". AWS Lambda is most compared with Apache NiFi, Apache Spark and Google Cloud Dataflow, whereas Azure Stream Analytics is most compared with Apache Spark, Apache NiFi and Apache Flink.
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AWS Lambda Logo
3,781 views|3,255 comparisons
Azure Stream Analytics Logo
3,442 views|2,925 comparisons
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Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: November 2019.
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Ranking
2nd
out of 9 in Compute Service
Views
3,781
Comparisons
3,255
Reviews
4
Average Words per Review
332
Avg. Rating
7.5
2nd
out of 25 in Streaming Analytics
Views
3,442
Comparisons
2,925
Reviews
1
Average Words per Review
715
Avg. Rating
8.0
Top Comparisons
Compared 40% of the time.
Compared 32% of the time.
Compared 7% of the time.
Also Known As
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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.

AzureStream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.
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Sample Customers
NetflixRockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: November 2019.
382,745 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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