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- AWS Lambda-vs-Google App Engine
Compare AWS Lambda and Google App Engine 
- Users report that Google App Engine excels in application deployment with a score of 9.0, highlighting its seamless integration and ease of use for deploying applications, while AWS Lambda follows closely with a score of 8.8, which some users find slightly less intuitive.
- Reviewers mention that Google App Engine's auto-scaling feature is particularly robust, scoring 9.3, allowing applications to handle varying loads efficiently, whereas AWS Lambda, with a score of 9.0, also offers auto-scaling but may require more configuration to achieve optimal performance.
- G2 users indicate that Google App Engine's database management capabilities are rated at 8.5, with users appreciating its built-in support for various databases, while AWS Lambda's database management is rated lower at 8.2, with some users noting limitations in direct database integration.
- Users on G2 report that Google App Engine provides a more user-friendly development environment, scoring 8.5, which is favored by developers for its simplicity, while AWS Lambda's development environment, rated at 8.3, is seen as slightly more complex, particularly for those new to serverless architecture.
- Reviewers say that Google App Engine's quality of support is rated at 7.8, which some users find lacking compared to AWS Lambda's higher score of 8.6, where users appreciate the responsiveness and helpfulness of the support team.
- Users report that Google App Engine has a strong product direction with a score of 8.3, indicating a commitment to continuous improvement, while AWS Lambda shines with a score of 9.4, with reviewers mentioning that its frequent updates and feature enhancements keep it at the forefront of serverless technology.
It can help us to trigger the services and make the execution process faster.
Cost/performance ratio is not useful for our use case, which is a shame because on paper it should be a poster-child for Lambda.
Very minimal administration required. Easy configuration for auto-scaling. Google Cloud Endpoint makes it very easy to integrate mobile apps to the server REST APIs. Task queues make it very easy to execute long asynchronous tasks without having to...
GAE ecosystem. Gae comes with its ecosystem and it's very easy to get attached to it. The ease of use of other services such as analytics and stack driver is great but it comes with a cost which can easily go way up. Then there are some versions of...
It can help us to trigger the services and make the execution process faster.
Very minimal administration required. Easy configuration for auto-scaling. Google Cloud Endpoint makes it very easy to integrate mobile apps to the server REST APIs. Task queues make it very easy to execute long asynchronous tasks without having to...
Cost/performance ratio is not useful for our use case, which is a shame because on paper it should be a poster-child for Lambda.
GAE ecosystem. Gae comes with its ecosystem and it's very easy to get attached to it. The ease of use of other services such as analytics and stack driver is great but it comes with a cost which can easily go way up. Then there are some versions of...
