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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.

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).

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.

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.

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.

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

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.

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

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

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

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.

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.

It is a query and processing language specifically designed for the popular JSON data model. It is an expressive and highly optimizable language to query and update NoSQL stores. It enables developers to leverage the same productive high-level language across a variety of NoSQL products.

It is a declarative open-source query and transformation language for JSON data.

It is a collection of software libraries for parsing, validating, serializing and manipulating XML. The library implements a number of standard APIs for XML parsing, including DOM, SAX and SAX2. The implementation is available in the Java, C++ and Perl programming languages.

It is a brand new protocol using HTTP/2 Server Push to create fast and idiomatic client-driven REST APIs. An open source gateway server which you can put on top of any existing web API.

It is a language for extracting, manipulating, and transforming data. It works anywhere you can use Javascript, on the server, in your node.js code, or even in the browser. It also includes CLI tools for transforming data in bulk and for exploring the syntax.

It is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it's readable, explicit, and declarative.

It is an interpreted, relational programming language, that specializes in database queries. It is designed for use by data engineers, analysts and data scientists.

It is a query language with a syntax very similar to SQL with a tiny engine to perform queries on .git files instead of database files, the engine executes the query on the fly without the need to create database files or convert .git files into any other format, note that all Keywords in GQL are case-insensitive similar to SQL.

It is an experimental language for describing data relationships and transformations. It is both a semantic modeling language and a querying language that runs queries against a relational database. It is currently available on BigQuery and Postgres.