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Apollo vs Google App Engine: What are the differences?
# Introduction
1. **Runtime Environment**: Apollo is a server-management platform that allows developers to easily deploy, scale, and manage their applications in a Kubernetes cluster. On the other hand, Google App Engine is a fully managed serverless platform that enables developers to build and deploy applications without worrying about infrastructure management.
2. **Programming Language Support**: Apollo supports various programming languages like Node.js, Java, Python, and Ruby, providing more flexibility to developers. Google App Engine primarily supports Python, Java, Go, and PHP, which can limit the choice for developers who prefer other languages.
3. **Pricing Model**: Apollo follows a usage-based pricing model where users pay for the resources they consume, providing cost efficiency for small to medium-scale applications. In contrast, Google App Engine offers a free tier for limited resources but can become more expensive for larger applications due to fixed instance pricing.
4. **Ecosystem Integration**: Apollo seamlessly integrates with Apollo Studio for monitoring, schema management, and performance optimization, offering a comprehensive toolset for GraphQL-based applications. Google App Engine integrates well with other Google Cloud services, making it easier for developers to utilize additional cloud resources within their applications.
5. **Auto Scaling**: Apollo provides auto-scaling capabilities based on the traffic and load conditions of the applications, ensuring optimal performance and resource utilization. Google App Engine also offers auto-scaling but has limitations in customization compared to Apollo's more granular controls.
6. **Data Storage**: Apollo does not provide built-in data storage solutions, requiring developers to integrate external databases or services for data persistence. In contrast, Google App Engine includes Google Cloud Datastore and Cloud SQL for database management, simplifying the data storage process for developers.
In Summary, Apollo and Google App Engine differ in their runtime environments, programming language support, pricing models, ecosystem integrations, auto-scaling capabilities, and data storage solutions.
Decisions about Apollo and Google App Engine
Márton Danóczy
CTO at Media4Care · | 6 upvotes · 34.1K views
We wanted to save as much time as possible when writing our back-end, therefore Apollo was out of the question, we went for an auto-generated API instead. Hasura looked good in the beginning, but we wanted to retain the ability to add a few manual resolvers and modifications to auto-generated ones, which ruled out Hasura. Postgraphile with its Plug-In architecture was the right choice for us, we never regretted it!
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Learn MorePros of Apollo
Pros of Google App Engine
Pros of Apollo
- From the creators of Meteor12
- Great documentation8
- Open source3
- Real time if use subscription2
Pros of Google App Engine
- Easy to deploy145
- Auto scaling106
- Good free plan80
- Easy management62
- Scalability56
- Low cost35
- Comprehensive set of features32
- All services in one place28
- Simple scaling22
- Quick and reliable cloud servers19
- Granular Billing6
- Easy to develop and unit test5
- Monitoring gives comprehensive set of key indicators4
- Really easy to quickly bring up a full stack3
- Create APIs quickly with cloud endpoints3
- Mostly up2
- No Ops2
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Cons of Apollo
Cons of Google App Engine
Cons of Apollo
- File upload is not supported1
- Increase in complexity of implementing (subscription)1
Cons of Google App Engine
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What is Apollo?
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
What is Google App Engine?
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
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What companies use Apollo?
What companies use Google App Engine?
What companies use Apollo?
What companies use Google App Engine?
See which teams inside your own company are using Apollo or Google App Engine.
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What tools integrate with Apollo?
What tools integrate with Google App Engine?
What tools integrate with Apollo?
What tools integrate with Google App Engine?
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What are some alternatives to Apollo and Google App Engine?
Helios
Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers.
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Relay Framework
Never again communicate with your data store using an imperative API. Simply declare your data requirements using GraphQL and let Relay figure out how and when to fetch your data.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.