Graphcool Framework vs Upstash
Overview
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CLI (Node.js)
Manual
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 provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions. |
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 data for Redis®;
Serverless data for Kafka®;
Per-request pricing with cap;
Global low latency |
Statistics | |
GitHub Stars 0 | GitHub Stars - |
GitHub Forks 0 | GitHub Forks - |
Stacks 15 | Stacks 35 |
Followers 18 | Followers 10 |
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Integrations | |
What are some alternatives to Graphcool Framework, Upstash?
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.
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.
Serverless
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Google Cloud Functions
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Knative
Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center
Redis To Go
Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.
OpenFaaS
Serverless Functions Made Simple for Docker and Kubernetes
Nuclio
nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.
Redis Cloud
Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.
