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Pros of GraphQL Ruby
Pros of Prisma
Pros of Graphene
- Will replace RESTful interfaces0
- The future of API's0
Pros of GraphQL Ruby
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Pros of Prisma
- Type-safe database access12
- Open Source10
- Auto-generated query builder8
- Supports multible database systems6
- Increases confidence during development6
- Built specifically for Postgres and TypeScript4
- Productive application development4
- Robust migrations system2
- Supports multible RDBMSs2
- CRUD1
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Cons of Graphene
Cons of GraphQL Ruby
Cons of Prisma
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Cons of GraphQL Ruby
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Cons of Prisma
- Doesn't support downward/back migrations2
- Doesn't support JSONB1
- Do not support JSONB1
- Mutation of JSON is really confusing1
- Do not support JSONB1
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What is Graphene?
Graphene is a Python library for building GraphQL schemas/types fast and easily.
What is GraphQL Ruby?
Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.
What is Prisma?
Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.
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What tools integrate with Graphene?
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What are some alternatives to Graphene, GraphQL Ruby, and Prisma?
Graphite
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
Ethereum
A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.