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  5. GraphQL vs GraphQL Ruby

GraphQL vs GraphQL Ruby

OverviewDecisionsComparisonAlternatives

Overview

GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309
GraphQL Ruby
GraphQL Ruby
Stacks68
Followers76
Votes0
GitHub Stars5.4K
Forks1.4K

GraphQL vs GraphQL Ruby: What are the differences?

  1. Syntax Differences: GraphQL Ruby uses Ruby syntax, which might be more familiar to Ruby developers, while GraphQL has its own specific query syntax that might require a learning curve for developers new to it.
  2. Type System Differences: GraphQL Ruby uses Ruby's type system, which is statically typed, while GraphQL has its own type system that allows for efficient data querying and manipulation.
  3. Execution Differences: GraphQL Ruby executes queries using Ruby's execution environment, while GraphQL has a dedicated runtime for executing queries efficiently.
  4. Error Handling Differences: GraphQL Ruby has error handling mechanisms specific to Ruby, while GraphQL provides a standardized error handling mechanism for all its implementations.
  5. Community Support Differences: GraphQL has a larger community and ecosystem with extensive resources and tools available for developers, while GraphQL Ruby may have a more specialized community focus due to its specific implementation in Ruby.
  6. Performance Differences: Due to the runtime optimizations of GraphQL, it may offer better performance in query execution compared to GraphQL Ruby which relies on Ruby's execution environment.

In Summary, key differences between GraphQL and GraphQL Ruby encompass syntax, type system, execution, error handling, community support, and performance.

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Advice on GraphQL, GraphQL Ruby

Raj
Raj

Oct 10, 2020

Review

It purely depends on your app needs. Does it need to be scalable, do you have lots of features, OR it is a simple project with very simple needs - many of those parameters clarify which technologies will fit.

If you are looking for a quick solution, that reduces lot of development time, take a look at postgraphile (https://www.graphile.org/postgraphile/). You have to just define the schema and you get the entire graph-ql apis built for you and you can just focus on your frontend.

On frontend, React is good, but also need to remember that it is popular because it introduced one way data writes and in-built virtual dom + diffing to determine which dom to modify. Though personally I liked it, am recently more inclined to Svelte because its lightweightedness and absence of virtual dom and its simplicity compared to the huge ecosystem that React has surrounded itself with.

In all situations, frameworks keep changing over time. What is best today is not considered even good few years from now. What is important is to have the logic in a separate, clean manner void of too many framework related dependencies - that way you can switch one framework with another very easily.

3.77k views3.77k
Comments

Detailed Comparison

GraphQL
GraphQL
GraphQL Ruby
GraphQL Ruby

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.

Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
Define Your Schema - Describe your application with the GraphQL type system to create a self-documenting, strongly-typed API.; Run Queries - Serve queries to build a great UI or webservice.
Statistics
GitHub Stars
-
GitHub Stars
5.4K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
34.9K
Stacks
68
Followers
28.1K
Followers
76
Votes
309
Votes
0
Pros & Cons
Pros
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 12
    Get many resources in a single request
Cons
  • 4
    Hard to migrate from GraphQL to another technology
  • 4
    More code to type.
  • 2
    Takes longer to build compared to schemaless.
  • 1
    No support for caching
  • 1
    No built in security
No community feedback yet
Integrations
No integrations available
Ruby
Ruby

What are some alternatives to GraphQL, GraphQL Ruby?

Prisma

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.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

OData

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

Oracle PL/SQL

Oracle PL/SQL

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

SQL

SQL

SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).

Graphene

Graphene

Graphene is a Python library for building GraphQL schemas/types fast and easily.

JSON API

JSON API

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

graphql.js

graphql.js

Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.

JsonAPI

JsonAPI

t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

Trino

Trino

It is a fast distributed SQL query engine for big data analytics that helps you explore your data universe. It is designed to query large data sets distributed over one or more heterogeneous data sources.

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