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  4. Platform As A Service
  5. AWS CodeStar vs Hasura

AWS CodeStar vs Hasura

OverviewDecisionsComparisonAlternatives

Overview

Hasura
Hasura
Stacks343
Followers634
Votes144
GitHub Stars31.8K
Forks2.8K
AWS CodeStar
AWS CodeStar
Stacks24
Followers171
Votes8

AWS CodeStar vs Hasura: What are the differences?

Developers describe AWS CodeStar as "Quickly Develop, Build, and Deploy Applications on AWS". Start new software projects on AWS in minutes using templates for web applications, web services and more. On the other hand, Hasura is detailed as "An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database". An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

AWS CodeStar and Hasura can be primarily classified as "Platform as a Service" tools.

Some of the features offered by AWS CodeStar are:

  • Start developing on AWS in minutes
  • Manage software delivery in one place
  • Work across your team securely

On the other hand, Hasura provides the following key features:

  • Stack-agnostic
  • Cloud-agnostic
  • Git push to deploy

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Advice on Hasura, AWS CodeStar

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! 👍

291 views291
Comments

Detailed Comparison

Hasura
Hasura
AWS CodeStar
AWS CodeStar

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

Start new software projects on AWS in minutes using templates for web applications, web services and more.

Stack-agnostic; Cloud-agnostic; Git push to deploy; Pre-configured API Gateway; Instant GraphQL or JSON APIs; Out-of-the-box Auth APIs with UI Kits; Filestore APIs with access control; Deploy custom code
Start developing on AWS in minutes;Manage software delivery in one place;Work across your team securely;Choose from a variety of project templates
Statistics
GitHub Stars
31.8K
GitHub Stars
-
GitHub Forks
2.8K
GitHub Forks
-
Stacks
343
Stacks
24
Followers
634
Followers
171
Votes
144
Votes
8
Pros & Cons
Pros
  • 23
    Fast
  • 18
    Easy GraphQL subscriptions
  • 16
    Easy setup of relationships and permissions
  • 15
    Automatically generates your GraphQL schema
  • 15
    Minimal learning curve
Cons
  • 3
    Cumbersome validations
Pros
  • 3
    Simple to set up
  • 2
    Manual Steps Available
  • 1
    GitHub integration
  • 1
    Integrations
  • 1
    Flexible
Integrations
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Docker
Docker
GraphQL
GraphQL
Amazon EC2
Amazon EC2
AWS Lambda
AWS Lambda
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Jira
Jira

What are some alternatives to Hasura, AWS CodeStar?

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.

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.

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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