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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Graphcool Framework vs Macrometa

Graphcool Framework vs Macrometa

OverviewComparisonAlternatives

Overview

Graphcool Framework
Graphcool Framework
Stacks15
Followers18
Votes1
GitHub Stars0
Forks0
Macrometa
Macrometa
Stacks1
Followers2
Votes0

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CLI (Node.js)
or
Manual

Detailed Comparison

Graphcool Framework
Graphcool Framework
Macrometa
Macrometa

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 is a noSQL database, Pub/Sub, Event Processing, and computing platform for building geo-distributed applications.

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
Blazing fast -> 50ms P90 round trip response time, globally; No glue code -> serverless everything; Converged platform -> seamless dev experience
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
15
Stacks
1
Followers
18
Followers
2
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Fun and quick to get started. Great customer support
No community feedback yet
Integrations
Prisma Cloud
Prisma Cloud
GraphQL
GraphQL
No integrations available

What are some alternatives to Graphcool Framework, Macrometa?

AWS Lambda

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.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Azure Cosmos DB

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Azure Functions

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

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

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.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

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