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  5. Apollo vs Google App Engine

Apollo vs Google App Engine

OverviewDecisionsComparisonAlternatives

Overview

Google App Engine
Google App Engine
Stacks10.5K
Followers8.1K
Votes611
Apollo
Apollo
Stacks2.7K
Followers1.8K
Votes25

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.

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Advice on Google App Engine, Apollo

Márton
Márton

CTO at Media4Care

Aug 31, 2020

Decided

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!

37.1k views37.1k
Comments
Raj
Raj

CTO & Founder at Novvum

Oct 5, 2020

Review

Hey Brian, it's hard to pick a best tool for any situation, however, there are tools that offer advantages dependent on use case.

Server Side

If you're looking to quickly generate a GraphQL API, you can use a Graphql As A Service like FaunaDB, Slash Graphql, or 8base.

If you want something more advanced on the server side: Prisma with Postgres, Nexus, & Apollo Server (js) is a great stack to try out. Examples here

Check out TypeORM and TypeGraphQL too

If you're have some existing data on Postgres, PostGraphile or Hasura are your best bet!

If you are using a lot of AWS services, check out Amplify and AppSync. Tutorial here

On the client side:

Check out Gatsby! Graphql is already configured and used to query static or remote information at build time. It's a great way to get your feet wet!

Apollo Client is often the choice for more advanced use cases. But URLQL and gqless are some pretty good alternatives too!

Hope this helps! 👍

295 views295
Comments

Detailed Comparison

Google App Engine
Google App Engine
Apollo
Apollo

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.

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.

Zero to sixty: Scale your app automatically without worrying about managing machines.;Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.;You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.
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Statistics
Stacks
10.5K
Stacks
2.7K
Followers
8.1K
Followers
1.8K
Votes
611
Votes
25
Pros & Cons
Pros
  • 145
    Easy to deploy
  • 106
    Auto scaling
  • 80
    Good free plan
  • 62
    Easy management
  • 56
    Scalability
Pros
  • 12
    From the creators of Meteor
  • 8
    Great documentation
  • 3
    Open source
  • 2
    Real time if use subscription
Cons
  • 1
    Increase in complexity of implementing (subscription)
  • 1
    File upload is not supported
Integrations
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Twilio
Twilio
Twilio SendGrid
Twilio SendGrid
GraphQL
GraphQL

What are some alternatives to Google App Engine, Apollo?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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