Graphcool Framework vs Ocean
Overview
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CLI (Node.js)
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Detailed Comparison
Graphcool is an open-source backend development framework to develop and deploy production-ready GraphQL microservices. The Graphcool Framework is a comprehensive collection of building blocks covering the entire spectrum of developing modern, data-centric GraphQL APIs. | It brings reliability, automation and efficiency to cloud infrastructure management for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization and availability utilizing the optimal blend of spot, reserved and on-demand compute instances. |
GraphQL database: A GraphQL database that allows you to query, mutate & stream data via the GraphQL CRUD API. It also contains a powerful database migration tool that lets you define and evolve your data model using GraphQL SDL.;Powerful permission system: Protects your GraphQL API with a powerful permission system based on rules you define in terms of simple GraphQL permission queries.;GraphQL subscription API: With the Graphcool Framework, realtime functionality (based on GraphQL subscriptions) comes for free. Your mutations automatically publish subscription events to the event gateway which forwards updates to all subscribed clients.q | Serverless compute engine; Mix and match instance families and sizes in the same availability zone; Use reserved instances, savings plans, spot, and on-demand instances automatically; Infrastructure automation via continuous container bin packing; Container Cost Showback; Container Right-Sizing; Automatic Headroom provisioning for container warm start; 99.99% SLA for spot workloads |
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GitHub Stars 0 | GitHub Stars - |
GitHub Forks 0 | GitHub Forks - |
Stacks 15 | Stacks 20 |
Followers 18 | Followers 30 |
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Integrations | |
What are some alternatives to Graphcool Framework, Ocean?
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Rancher
Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
Docker Compose
With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Docker Swarm
Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.
Tutum
Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.
Portainer
It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.
Azure Functions
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
Google Cloud Run
A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
Codefresh
Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.
