GraphQL vs Preql

Overview

GraphQL

Stacks34.9K

Followers28.1K

Votes309

Preql

Stacks1

Followers6

Votes0

GitHub Stars625

Forks13

GraphQL vs Preql: What are the differences?

What is GraphQL? A data query language and runtime. 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.

What is Preql? A database query language that compiles to SQL. It is an interpreted, relational programming language, that specializes in database queries It is designed for use by data engineers, analysts and data scientists..

GraphQL and Preql can be primarily classified as "Query Languages" tools.

Some of the features offered by GraphQL are:

Hierarchical
Product-centric
Client-specified queries

On the other hand, Preql provides the following key features:

Modern syntax and semantics
Compiles to SQL
Python and Pandas integration

GraphQL is an open source tool with 13.3K GitHub stars and 1.03K GitHub forks. Here's a link to GraphQL's open source repository on GitHub.

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Detailed Comparison

GraphQL	Preql
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.	It is an interpreted, relational programming language, that specializes in database queries. It is designed for use by data engineers, analysts and data scientists.
Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective	Modern syntax and semantics; Compiles to SQL; Python and Pandas integration; Interactive shell (REPL) with auto-completion; Runs on Jupyter Notebook
Statistics
GitHub Stars -	GitHub Stars 625
GitHub Forks -	GitHub Forks 13
Stacks 34.9K	Stacks 1
Followers 28.1K	Followers 6
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	Python Google BigQuery PostgreSQL MySQL SQLite Pandas

What are some alternatives to GraphQL, Preql?

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

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

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

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

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

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

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.