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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).

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

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 an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database.

It is a simple, yet powerful entity framework for Go, that makes it easy to build and maintain applications with large data-models.

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

It is a fantastic ORM library for Golang, aims to be developer friendly. It is an ORM library for dealing with relational databases. This library is developed on top of database/sql package.

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.

It is a mature, open source object-relational mapper for the .NET framework. It's actively developed, fully featured and used in thousands of successful projects.

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

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

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

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

It is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. It provides generalized and automated solutions to common tasks associated with object life cycle and object graph management, including persistence.

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.

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

It aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while still making the common stuff easy and enjoyable.

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.

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

It is fast, efficient, and feature-rich Kotlin database library built on SQLite for Android. It utilizes annotation processing to generate SQLite boilerplate for you and provides a powerful SQLite query language that makes using SQLite a joy.

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

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 an object-relational mapping product written in Java. It is designed to be simpler to use and understand than JPA or JDO products.

It is an open source Android ORM making development for SQLite databases fun again. It relieves developers from dealing with low-level database requirements while saving development time.

It is an open-source Object-Relational Mapping (ORM) for SQL-Databases in PHP 5.5. It allows you to access your database using a set of objects, providing a simple API for storing and retrieving data.

It stems from the Knex.js, which is a flexible query builder that works with PostgreSQL, MySQL and SQLite3. Bookshelf.js builds on top of this by providing functionality for creating data models, forming relations between these models, and other common tasks needed when querying a database.

JugglingDB(3) is cross-db ORM for nodejs, providing common interface to access most popular database formats. Currently supported are: mysql, sqlite3, postgres, couchdb, mongodb, redis, neo4j and js-memory-storage (yep, self-written engine for test-usage only). Jugglingdb also works on client-side (using WebService and Memory adapters), which allows to write rich client-side apps talking to server using JSON API.

It is an enterprise grade ORM designed to compliment the skills of SQL professionals. More than a typical ORM, it's a complete system for building high-performance, robust data services.

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 library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. It is based on Python type annotations, and powered by Pydantic and SQLAlchemy.

It is a database persistence library that provides a simple and concise way to integrate your application models into SQLite. It eliminates writing SQL queries to interact with SQLite db.

It is a non-typical object-relational mapping library in Python for asyncio, built on top of SQLAlchemy core and asyncpg, aiming for explicitness and productivity.

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

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 an ORM framework in Java based on ActiveRecord pattern, which encourages rapid development and clean, codes with the least and convention over configuration.

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 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 a PHP library for simple working with data in the database. The most interesting feature is a very easy work with table relationships. The overall performance is also very important and NotORM can actually run faster than a native driver.

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 allows you to transform web pages and API requests into a shapeable data set, with built in concepts of expansion into new links, and a processing language to filter, transform and export your data set to a growing collection of common destinations.

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.