Compare AWS Lambda vs. Google Cloud Dataflow

AWS Lambda is ranked 2nd in Compute Service with 3 reviews while Google Cloud Dataflow is ranked 4th in Streaming Analytics. AWS Lambda is rated 7.4, while Google Cloud Dataflow is rated 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, AWS Lambda is most compared with Apache NiFi, Apache Spark and Apache Storm, whereas Google Cloud Dataflow is most compared with Apache NiFi, Apache Spark and Amazon Kinesis.
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AWS Lambda Logo
3,831 views|3,364 comparisons
Google Cloud Dataflow Logo
2,361 views|2,079 comparisons
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Ranking
2nd
out of 8 in Compute Service
Views
3,831
Comparisons
3,364
Reviews
3
Average Words per Review
406
Avg. Rating
7.3
4th
out of 25 in Streaming Analytics
Views
2,361
Comparisons
2,079
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 38% of the time.
Compared 34% of the time.
Compared 7% of the time.
Compared 29% of the time.
Also Known As
Google Dataflow
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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.

Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
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Sample Customers
NetflixAbsolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
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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