Overview

Apollo

Stacks2.4K

Followers1.8K

Votes25

Atlantis

Stacks42

Followers28

Votes2

Apollo vs Atlantis: What are the differences?

Introduction: Here are the key differences between Apollo and Atlantis:

Historical Context: Apollo was a manned spaceflight program by NASA in the 1960s and 1970s, focused on lunar exploration, while Atlantis was one of the Space Shuttle orbiters in the NASA fleet, primarily used for satellite deployment and servicing missions.
Purpose: Apollo's main goal was to land humans on the Moon and bring them back safely to Earth, whereas Atlantis was designed for multiple missions to carry crew and cargo to low Earth orbit as part of the Space Shuttle program.
Technology: Apollo spacecraft used expendable rockets and the lunar module for Moon landings, while Atlantis flew on reusable Space Shuttle orbiters with solid rocket boosters and an external fuel tank.
Crew Capacity: Apollo missions typically carried a crew of three astronauts, while Atlantis could accommodate larger crews of up to seven astronauts for space shuttle missions.
Retirement: The Apollo program concluded with its last mission in 1972 (Apollo 17), while Atlantis had its final flight in 2011 (STS-135) marking the end of the Space Shuttle program.
Legacy: Apollo is remembered for achieving the first manned Moon landing in 1969 (Apollo 11), while Atlantis holds the distinction of being the last Space Shuttle to fly, marking the end of an era in human spaceflight.

In Summary, Apollo and Atlantis differ in their historical context, purpose, technology, crew capacity, retirement, and legacy in human space exploration.

Advice on Apollo, Atlantis

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!

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Comments

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! 👍

280 views280

Comments

Detailed Comparison

Apollo	Atlantis
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.	Atlantis is an Open Source PaaS for HTTP applications built on Docker and written in Go. It makes it easy to build and deploy applications in a safe, repeatable fashion, and flexibly route requests to the appropriate containers.
Statistics
Stacks 2.4K	Stacks 42
Followers 1.8K	Followers 28
Votes 25	Votes 2
Pros & Cons
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)	Pros 2 It's so sunken
Integrations
GraphQL	Docker

What are some alternatives to Apollo, Atlantis?

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 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 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

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

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 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

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

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 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

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.