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  4. Platform As A Service
  5. Hasura vs Kontena

Hasura vs Kontena

OverviewDecisionsComparisonAlternatives

Overview

Kontena
Kontena
Stacks10
Followers36
Votes0
GitHub Stars1.5K
Forks125
Hasura
Hasura
Stacks343
Followers634
Votes144
GitHub Stars31.8K
Forks2.8K

Hasura vs Kontena: What are the differences?

Hasura: 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; Kontena: Docker Container Orchestration Platform Written in Ruby. Kontena is an open source container orchestration tool that makes it easy to deploy and manage containerized applications on your own servers.

Hasura and Kontena belong to "Platform as a Service" category of the tech stack.

Some of the features offered by Hasura are:

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

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

  • Automatic Node Discovery
  • Mixed Infrastructure Support
  • Service Abstraction

Kontena is an open source tool with 1.44K GitHub stars and 117 GitHub forks. Here's a link to Kontena's open source repository on GitHub.

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Advice on Kontena, Hasura

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

Kontena
Kontena
Hasura
Hasura

Kontena is an open source container orchestration tool that makes it easy to deploy and manage containerized applications on your own servers.

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

Automatic Node Discovery;Mixed Infrastructure Support; Service Abstraction;Service Linking;Advanced Orchestration
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
Statistics
GitHub Stars
1.5K
GitHub Stars
31.8K
GitHub Forks
125
GitHub Forks
2.8K
Stacks
10
Stacks
343
Followers
36
Followers
634
Votes
0
Votes
144
Pros & Cons
No community feedback yet
Pros
  • 23
    Fast
  • 18
    Easy GraphQL subscriptions
  • 16
    Easy setup of relationships and permissions
  • 15
    Minimal learning curve
  • 15
    Automatically generates your GraphQL schema
Cons
  • 3
    Cumbersome validations
Integrations
Docker
Docker
Docker Machine
Docker Machine
Vagrant
Vagrant
Microsoft Azure
Microsoft Azure
Weave
Weave
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Docker
Docker
GraphQL
GraphQL

What are some alternatives to Kontena, Hasura?

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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