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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Platform As A Service
  5. Apollo vs OpenShift

Apollo vs OpenShift

OverviewDecisionsComparisonAlternatives

Overview

Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510
Apollo
Apollo
Stacks2.7K
Followers1.8K
Votes25

Apollo vs OpenShift: What are the differences?

Introduction

Apollo and OpenShift are two popular platforms used for managing and deploying applications. While they may have some similarities, there are several key differences between the two.

  1. Architecture: Apollo is a microservices-oriented platform, which means it is designed to support the development and deployment of applications that are made up of small, independent services. OpenShift, on the other hand, is a container platform that uses Kubernetes for orchestration, allowing for the deployment and management of containerized applications.

  2. Deployment Options: Apollo offers both cloud-based and on-premise deployment options, giving users the flexibility to choose where their applications are hosted. OpenShift primarily focuses on providing cloud-based deployment options, with integration and support for various public cloud providers.

  3. Scalability: Apollo includes built-in scalability features, such as auto-scaling and load balancing, which can automatically adjust resource allocation based on demand. OpenShift also supports scalability, but the specifics may vary depending on the underlying infrastructure and configuration.

  4. Service Discovery: Apollo includes a built-in service registry and discovery mechanism, making it easier to locate and connect to different services within a microservices architecture. OpenShift relies on Kubernetes for service discovery, leveraging its features to facilitate service communication and discovery.

  5. Developer Experience: Apollo provides a comprehensive set of tools and frameworks that are specifically tailored for working with microservices, including support for service mesh, API gateways, and distributed tracing. OpenShift, on the other hand, offers a more generalized platform for containerized applications, with a focus on providing a robust and scalable infrastructure.

  6. Community and Support: Apollo is an open-source project supported by a community of developers and contributors. It benefits from the collaborative efforts of its community, with regular updates and improvements. OpenShift is backed by Red Hat, a prominent technology company, and it offers enterprise-level support and services to its users.

In summary, Apollo is a microservices-oriented platform with a focus on scalability and providing a comprehensive developer experience, while OpenShift is a container platform that leverages Kubernetes for orchestration and primarily focuses on cloud-based deployment options.

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Advice on Red Hat OpenShift, 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! 👍

294 views294
Comments

Detailed Comparison

Red Hat OpenShift
Red Hat OpenShift
Apollo
Apollo

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.

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.

Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise);OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift;OpenShift supports frameworks ranging from Spring, to Rails, to Play;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command
-
Statistics
GitHub Stars
885
GitHub Stars
-
GitHub Forks
510
GitHub Forks
-
Stacks
1.6K
Stacks
2.7K
Followers
1.4K
Followers
1.8K
Votes
517
Votes
25
Pros & Cons
Pros
  • 99
    Good free plan
  • 63
    Open Source
  • 47
    Easy setup
  • 43
    Nodejs support
  • 42
    Well documented
Cons
  • 2
    Decisions are made for you, limiting your options
  • 2
    License cost
  • 1
    Behind, sometimes severely, the upstreams
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
No integrations available
GraphQL
GraphQL

What are some alternatives to Red Hat OpenShift, 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.

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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