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  4. Platform As A Service
  5. AWS Elastic Beanstalk vs Apollo

AWS Elastic Beanstalk vs Apollo

OverviewDecisionsComparisonAlternatives

Overview

AWS Elastic Beanstalk
AWS Elastic Beanstalk
Stacks2.1K
Followers1.8K
Votes241
Apollo
Apollo
Stacks2.7K
Followers1.8K
Votes25

AWS Elastic Beanstalk vs Apollo: What are the differences?

Introduction:

1. **Deployment**: AWS Elastic Beanstalk is a fully managed service that handles application deployment and scaling automatically, while Apollo is a data graph platform that helps manage complex data graphs.
2. **Use Case**: AWS Elastic Beanstalk is primarily used for hosting and managing web applications, whereas Apollo is used for building and managing a GraphQL API.
3. **Scalability**: AWS Elastic Beanstalk can automatically scale your application based on traffic, whereas in Apollo, scaling needs to be managed manually.
4. **Monitoring and Management**: AWS Elastic Beanstalk provides monitoring and management tools for applications, including integration with CloudWatch, whereas Apollo requires additional tools or services for monitoring and management.
5. **Languages Supported**: AWS Elastic Beanstalk supports a wide range of programming languages, making it versatile for different applications, while Apollo is specifically focused on managing GraphQL APIs.
6. **Vendor Lock-in**: Using AWS Elastic Beanstalk ties you to the AWS ecosystem, whereas Apollo can be used with any cloud provider or on-premises infrastructure.

In Summary, AWS Elastic Beanstalk is a versatile, managed service for deploying and scaling web applications, while Apollo is specialized for building and managing GraphQL APIs. 

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Advice on AWS Elastic Beanstalk, 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

AWS Elastic Beanstalk
AWS Elastic Beanstalk
Apollo
Apollo

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

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.

Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java;There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.;Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application;Impossible to outgrow – Elastic Beanstalk automatically scales your application up and down based on default Auto Scaling settings;Complete control – Elastic Beanstalk lets you "open the hood" and retain full control over the AWS resources powering your application;Flexible – You have the freedom to select the Amazon EC2 instance type that is optimal for your application based on CPU and memory requirements, and can choose from several available database options;Reliable – Elastic Beanstalk runs within Amazon's proven network infrastructure and datacenters, and provides an environment where developers can run applications requiring high durability and availability.
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Statistics
Stacks
2.1K
Stacks
2.7K
Followers
1.8K
Followers
1.8K
Votes
241
Votes
25
Pros & Cons
Pros
  • 77
    Integrates with other aws services
  • 65
    Simple deployment
  • 44
    Fast
  • 28
    Painless
  • 16
    Free
Cons
  • 2
    Charges appear automatically after exceeding free quota
  • 1
    Lots of moving parts and config
  • 0
    Slow deployments
Pros
  • 12
    From the creators of Meteor
  • 8
    Great documentation
  • 3
    Open source
  • 2
    Real time if use subscription
Cons
  • 1
    File upload is not supported
  • 1
    Increase in complexity of implementing (subscription)
Integrations
Docker
Docker
Papertrail
Papertrail
GraphQL
GraphQL

What are some alternatives to AWS Elastic Beanstalk, 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.

Google App Engine

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.

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.

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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