Open Source Object-Relational Mapping (ORM) Software
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Object-Relational Mapping (ORM) Software
View 5626 business solutionsBrowse free open source Object-Relational Mapping (ORM) software and projects below. Use the toggles on the left to filter open source Object-Relational Mapping (ORM) software by OS, license, language, programming language, and project status.
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Hibernate
An object relational-mapping (ORM) library for Java
Hibernate is an Object/Relational Mapper tool. It's very popular among Java applications and implements the Java Persistence API. Hibernate ORM enables developers to more easily write applications whose data outlives the application process. As an Object/Relational Mapping (ORM) framework, Hibernate is concerned with data persistence as it applies to relational databases (via JDBC). -
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Prisma
Next-generation ORM for Node.js and TypeScript
Prisma helps app developers build faster and make fewer errors with an open source ORM for PostgreSQL, MySQL and SQLite. Central to Prisma is the schema, a declarative way to define your app's data models and their relations that's human-readable. And you don't have to painstakingly create it from scratch if you already have a database - prisma introspect takes care of that. Prisma Client is a query builder that composes the way you think and gets auto-generated from the Prisma schema with types tailored to your app. We designed the API to be intuitive for both SQL veterans and people brand new to databases. Auto-completion, linting, formatting and more help Prisma developers in VSCode stay confident without distractions. Prisma Client puts extra emphasis on extensive type safety for more productive development in TypeScript. Prisma is a server-side library that helps your app read and write data to the database in an intuitive and safe way. -
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SQL-first Golang ORM for PostgreSQL
SQL-first Golang ORM
Bun's goal is to help you write SQL, not to hide it behind awkward constructs. Bun uses database/sql and extends it in a compatible and idiomatic way. Out-of-the-box works with PostgreSQL, MySQL 5.7+, MSSQL, and SQLite. Keep your database schema updated with Go and SQL-based migrations. Provide initial data for your application with YAML fixtures. Modern app skeleton puts everything together and helps you get started. Bun is brought to you by uptrace/uptrace. Uptrace is an open-source APM tool that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and others. -
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HIBERNATE
Hibernate's core object/relational mapping functionality
Hibernate ORM is a library providing Object/Relational Mapping (ORM) support to applications, libraries, and frameworks. It also provides an implementation of the JPA specification, which is the standard Java specification for ORM. The build requires a Java 8 JDK as JAVA_HOME. You will need Git to obtain the source. Hibernate makes use of Jenkins for its CI needs. The project is built continuous on each push to the upstream repository. The Hibernate build defines several database testing "profiles" in databases.gradle. These profiles can be activated by name using the db build property which can be passed either as a JVM system prop (-D) or as a Gradle project property (-P). You don't have to install all databases locally to be able to test against them in case you have docker available. The script docker_db.sh allows you to start a pre-configured database which can be used for testing. -
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XML Editor/Validator/Designer with CAMV
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON. Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil Makes XSD schema (default, flatten, NIEM, & OASIS modes) + JAXB bindings; Mindmap FreeMind or UML models(XMI); XML unit test & live SQL data; HTML docs + spreadsheets (NIEM IEPDs). Canonical component dictionaries from schema sets, SQL, JSON, ERwin XSD, or spreadsheets. The XML CAM templates (OASIS standard) store the exchange structure, content model, code lists, DBMappings, SQL lookups+business rules (XPath). Java CAMV XML/JSON validation engine is a complete exchange test framework [XMLUnit, TEAM(Schematron)]. Java/Eclipse +Saxon/XSL -
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Diesel
A safe, extensible ORM and Query Builder for Rust
Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries. We don’t want to waste time tracking down runtime errors. We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL. -
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Doctrine ORM
Doctrine Object Relational Mapper
Doctrine 2 is an object-relational mapper (ORM) for PHP 7.1+ that provides transparent persistence for PHP objects. It 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 Hibernate's HQL. This provides developers with a powerful alternative to SQL that maintains flexibility without requiring unnecessary code duplication. As the term ORM already hints at, Doctrine ORM aims to simplify the translation between database rows and the PHP object model. The primary use case for Doctrine are therefore applications that utilize the Object-Oriented Programming Paradigm. For applications that do not primarily work with objects Doctrine ORM is not suited very well. Doctrine ORM requires a minimum of PHP 7.1. For greatly improved performance it is also recommended that you use APC with PHP. -
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Drizzle ORM
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno
Drizzle ORM is a lightweight, TypeScript-first Object-Relational Mapping (ORM) tool designed for modern JavaScript runtimes. It supports environments like Node.js, Bun, Deno, and even edge runtimes, providing developers with a flexible and type-safe way to interact with databases. Drizzle ORM emphasizes performance and developer experience. -
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Laravel Doctrine ORM
A drop-in Doctrine ORM 2 implementation for Laravel 5+
Doctrine 2 is an object-relational mapper (ORM) for PHP that provides transparent persistence for PHP objects. It uses the Data Mapper pattern at the heart, aiming for a complete separation of your domain/business logic from the persistence in a relational database management system. The benefit of Doctrine for the programmer is the ability to focus on object-oriented business logic and worry about persistence only as a secondary problem. This doesn’t mean persistence is downplayed by Doctrine 2, however, it is our belief that there are considerable benefits for object-oriented programming if persistence and entities are kept separated. -
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EF Core
Object-database mapper for .NET
EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. Entity Framework Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. EF Core works with many databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. To install EF Core, you install the package for the EF Core database provider(s) you want to target. This tutorial uses SQLite because it runs on all platforms that .NET Core supports. This application intentionally keeps things simple for clarity. Connection strings should not be stored in the code for production applications. You may also want to split each C# class into its own file. Query and manage relational data in a .NET Core app with an Object-Relational Mapper (O/RM). -
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ObjectMapper
Simple JSON Object mapping written in Swift
ObjectMapper is a framework written in Swift that makes it easy for you to convert your model objects (classes and structs) to and from JSON. Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to infer the type of object that should be used for mapping. ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. To use a transform, simply create a tuple with map["field_name"] and the transform of your choice on the right side of the <- operator. -
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Orange ORM
The ultimate ORM for Node and Typescript
Orange ORM is a lightweight, reflection-free ORM for Go that emphasizes performance and direct control. It provides a SQL-like fluent API and struct tagging system to map Go structs to database tables. Orange ORM supports PostgreSQL, MySQL, and SQLite, making it suitable for fast, embedded, or minimal-dependency applications. -
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Peewee-async
Asynchronous interface for peewee ORM powered by asyncio
peewee-async is an async extension for the Peewee ORM, enabling non-blocking database access in asyncio-powered Python applications. It allows you to use familiar Peewee models while benefiting from asynchronous I/O, making it ideal for web applications or services that require concurrency. -
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REL
Modern ORM for Golang
REL is a modern and lightweight ORM for Go that emphasizes testability, flexibility, and composability. It supports a repository pattern and expressive query building with support for advanced SQL features. REL aims to make it easier to write maintainable, testable, and readable database logic in idiomatic Go. -
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SQLBoiler
Generate a Go ORM tailored to your database schema
SQLBoiler is a tool to generate a Go ORM tailored to your database schema. It is a "database-first" ORM as opposed to "code-first" (like gorm/gorp). That means you must first create your database schema. Please use something like sql-migrate or some other migration tool to manage this part of the database's life-cycle. While attempting to migrate a legacy Rails database, we realized how much ActiveRecord benefited us in terms of development velocity. Coming over to the Go database/sql package after using ActiveRecord feels extremely repetitive, super long-winded and down-right boring. Being Go veterans we knew the state of ORMs was shaky, and after a quick review we found what our fears confirmed. Most packages out there are code-first, reflect-based and have a very weak story around relationships between models. Work with existing databases: Don't be the tool to define the schema, that's better left to other tools. -
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Sequelize
A promise-based multi SQL dialect Node.js ORM
Sequelize is a promise-based Node.js ORM for Postgres, MySQL, MariaDB, SQLite and Microsoft SQL Server. It features solid transaction support, relations, eager and lazy loading, read replication and more. Sequelize follows SEMVER. Supports Node v6 and above to use ES6 features. Sequelize v5 was released on March 13, 2019. Official TypeScript typings are now included. Sequelize can be used since the beginning in order to automate the creation of every table in your database. Models are the essence of Sequelize. A model is an abstraction that represents a table in your database. In Sequelize, it is a class that extends Model. The model tells Sequelize several things about the entity it represents, such as the name of the table in the database and which columns it has (and their data types). -
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SmartSql
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis)
SmartSql is a lightweight, high-performance ORM for .NET inspired by MyBatis. It provides a hybrid approach that separates SQL from application code while supporting dynamic queries, mapping, and caching. With XML or annotation-based configuration, SmartSql is designed to balance control and productivity for .NET developers. -
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go-kallax
Kallax is a PostgreSQL typesafe ORM for the Go language
go-kallax is a type-safe ORM for Go, designed to work seamlessly with PostgreSQL. It generates Go code from your database schema using model definitions, allowing for clean and performant data access without raw SQL. The library is built with Go idioms in mind and focuses on compile-time safety and ease of use. -
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Chloe
A lightweight and high-performance Object/Relational Mapping(ORM)
Chloe is a lightweight Object/Relational Mapping(ORM) library. The query interface is similar to LINQ. You can query data like LINQ and do any things(Join Query | Group Query | Aggregate Query | Insert | Batch Update | Batch Delete) by lambda with Chloe.ORM. Pay attention to splicing lambda expression trees by yourself, do not wrap your variables with ConstantExpression, otherwise, non-parameterized sql will be generated, and there is a risk of sql injection! If the entity does not explicitly specify any auto-increment columns and the primary key is of type Int16, Int32, or Int64, the default primary key is the auto-increment column. If it is not an auto-increment column, it needs to be marked with the attribute NonAutoIncrementAttribute. -
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FreeSql
.NET aot orm, VB.NET/C# orm, Mysql/PostgreSQL/SqlServer/Oracle orm
FreeSql is a robust ORM (Object Relational Mapper) for .NET that supports multiple databases like MySQL, PostgreSQL, SQLite, Oracle, and SQL Server. It provides advanced features such as automatic entity mapping, LINQ-style queries, caching, and database-first or code-first workflows. Designed for developers who want full control and performance without sacrificing productivity. -
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Pony ORM
Pony Object Relational Mapper
Pony ORM is a Python ORM that enables developers to write database queries using generator expressions and Pythonic syntax, making code more readable and intuitive. It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications. -
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Java ORM Plugin for Eclipse
User can create a java ORM framework in one click.
Java ORM Plugin for eclipse helps the user to create a Mybatis and Hibernate ORM framework in one click. 1) Mybatis ORM Framework 2) Hibernate ORM Framework URL : http://oneclicklabs.io -
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DataNucleus
Java persistence using JDO, JPA or REST
DataNucleus provides Java data persistence to a range of datastores using JDO/JPA/REST APIs. *** Note that code development is no longer on SourceForge (code on SourceForge is for versions up to 3.3.5 only) *** -
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POJava is a simple, light-weight Java-based API for data processing and development. It includes an immutable DateTime object capable of parsing free-form dates in multiple languages and formats, and a variety of utilities for data transformation.
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Database mapping layer for MongoDB on Python. Includes schema enforcement and some facilities for schema migration.
Guide to Open Source Object-Relational Mapping (ORM) Software
Open source object-relational mapping (ORM) software acts as an intermediary between data stored in database management systems and the applications that use them. This software provides a way to efficiently map objects in programming languages to database structures, while preserving their properties. It also provides programmers with an interface for interacting with databases without needing any knowledge of database query language syntax. ORM software is typically written in a scripting language such as Python, PHP, or Java and enables database access using Active Record, Data Mapper, and Unit of Work design patterns.
One advantage of using open source ORM software is that it can greatly reduce the amount of time spent writing code for complex queries. Additionally, developers no longer need to manually write SQL queries when interacting with databases; instead they can use higher-level abstractions provided by the ORM APIs to define data modeling requirements and reduce the size of the codebase required for application development or maintenance tasks. Using an ORM usually increases productivity and helps enforce uniform coding standards across development teams because most ORMs are designed around common web application frameworks such as Rails or Django. Furthermore, since the code powering ORMs is often open sourced it allows developers to easily collaborate on projects together or create new libraries that extend existing functionality beyond what’s available out-of-the box.
Overall, open source object-relational mapping (ORM) software provides many benefits like increased speed in coding complex queries, easier collaboration among different development teams working on the same project, and simplified access to databases for developers who may not have expertise in SQL query language syntaxes.
Open Source Object-Relational Mapping (ORM) Software Features
- Automated Database Schemas: ORM software automates the process of creating database schemas by mapping object-oriented classes to relational database tables. This makes it easier for developers to quickly create databases without having to manually define all database information and fields in the SQL language.
- Query Building: ORM software allows developers to quickly build queries using an object-oriented programming (OOP) syntax, reducing the need for manual SQL coding. This makes it easy for developers to query or update database records with minimal effort and time.
- Model Relationships: ORM software can easily model complex relationships between entities in an object-oriented environment, such as one-to-one, one-to-many, or many-to-many relationships. This helps keep data organized and reduces the amount of manual code that needs to be written when working with relational databases.
- Data Validation: ORM software provides built-in data validation features which allow users to validate user input before submitting any queries or updates so that only valid and consistent data is saved into the database. This ensures accuracy of information stored in the database and prevents redundant or invalid entries from being made accidentally by users.
- Caching Mechanisms: ORM software often includes caching mechanisms which help minimize the number of times a program needs to connect to the underlying database while still allowing applications access to frequently used data quickly, resulting in improved performance overall.
What Are the Different Types of Open Source Object-Relational Mapping (ORM) Software?
- Hibernate: Hibernate is an open source Java-based ORM which enables developers to map plain old Java objects (POJO) to relational tables. It is popular for its ability to access multiple relational databases with a single set of code.
- Kodo: Kodo is an open source Java-based ORM which provides object persistence and query technology for enterprise applications. It is designed to allow developers to store, retrieve, manipulate and manage data in a database system.
- iBATIS/MyBatis: iBATIS (now known as MyBatis) is an open source framework that maps accessed objects into SQL queries, enabling developers to quickly and easily create database-independent applications. MyBatis has been widely adopted due to its powerful mapping capabilities, support of advanced features such as type handlers, dynamic SQL and pagination, and easy integration into other frameworks such as Spring Framework or Grails.
- JDBC: JDBC (Java Database Connectivity) is the industry standard for connecting applications written in the Java language with data sources such as relational databases and spreadsheets. JDBC provides Object Relational Mapping technologies that enable developers to store data from any application without having any knowledge about the underlying database structure or SQL syntax used by the data source itself.
- JPA/EclipseLink: The Java Persistence API (JPA) provides a common way for persistent entities i.e., classes that are connected with specific instances of a particular type of data stored in a database using annotations or metadata from class fields throughout the application’s codebase while EclipseLink adds additional features above those provided by JPA including caching provider services, extended object-oriented query feature support, change tracking algorithms within session beans, versioning strategies and much more.
Benefits of Open Source Object-Relational Mapping (ORM) Software
- Increased Productivity: ORM tools provide developers with the ability to quickly and easily bridge the gap between their code and a relational database, allowing them to speed up the development process.
- Reduced Maintenance Costs: By abstracting away many of the complexities associated with relational databases, ORM software significantly reduces the amount of time needed for maintenance tasks. This leads to lower long-term costs and fewer headaches for developers.
- Safer Code: ORM software offers a better way of keeping your code safe from SQL injection attacks. By creating queries programmatically and relying on parameterized stored procedures, it’s much easier to prevent malicious code from being injected into your application’s database.
- Improved Performance: Many ORMs offer features such as object caching and query optimization that can drastically improve application performance without requiring any manual tweaking from developers.
- Easier Customization: Because most ORMs are written in an open source environment, they can be easily customized and adjusted according to specific needs without having to rewrite large amounts of code. This makes it simpler for developers to add new features or apply customizations as required.
Who Uses Open Source Object-Relational Mapping (ORM) Software?
- Web Developers: Those who develop websites and web applications can use ORM software to quickly create databases and maintain relationships between objects.
- Mobile Application Developers: Mobile application developers often need to store, access, and update data. They can use ORM software to organize the process, making it easier for them to develop their applications quickly.
- Small Businesses: ORMs are cost-effective solutions for small businesses that need database management but don’t have enough resources for buying proprietary database solutions.
- Data Scientists: Data scientists often need sophisticated database management features such as complex queries, data integration from multiple sources and dynamic object mapping capabilities, all of which can be easily achieved with an ORM tool.
- Database Administrators (DBAs): An ORM offers an easy way for database administrators to write code and query results using simple classes instead of tables. This makes it easier for them to manage large databases without having to manually write SQL scripts on an ad hoc basis.
- Software Engineers: Software engineers who specialize in creating distributed systems like microservices can benefit from the scalability offered by many popular ORMs such as Entity Framework or Hibernate OGM.
How Much Does Open Source Object-Relational Mapping (ORM) Software Cost?
Open source object-relational mapping (ORM) software typically does not cost anything, as it is open source. This means that the creators have chosen to make the software available to everyone without charging a fee. The ORM software can be downloaded and used for free by anyone who wishes to do so.
By using open source ORM software, developers gain access to powerful tools which they may use to efficiently and effectively design their databases. These tools include features such as automated database generation, auto-mapping of objects and relations between them, API integration with other languages or databases, many-to-many relationships for complex data sets, and more. All of these features help developers create better databases in less time than traditional methods.
The openness of this type of software also allows developers from all around the world to collaborate on projects with different technologies which support interoperability among them. This helps ensure that any changes made are shared across multiple platforms without extra costs or delays associated with proprietary solutions. Additionally, members of online developer communities often provide feedback on how to improve ORMs in order to benefit everyone involved in these collaboration efforts.
For those looking for enterprise level options at a cost but still benefit from the benefits associated with open source ORM solutions there are various commercial vendors that offer both free and paid packages with enhanced features compared to freely available ones including improved scalability, increased security measures, advanced automation abilities etc.
What Does Open Source Object-Relational Mapping (ORM) Software Integrate With?
Open source object-relational mapping (ORM) software is used to map objects from a programming language to relational database systems. This type of software can integrate with many other types of software, including web frameworks and query languages. ORM can be integrated with web frameworks such as Java Server Pages (JSP), Ruby on Rails or Django by providing the developer with the ability to access data in a relational database through their code. It also supports integration with query languages such as SQL, allowing developers to use existing queries for their applications. Finally, it provides an interface for popular development tools like Eclipse, Visual Studio and IntelliJ which makes it easier to work with databases within these tools. By providing an easily accessible interface between various programming elements and databases, ORM allows developers to create powerful data-driven applications while minimizing the effort required on their part.
Recent Trends Related to Open Source Object-Relational Mapping (ORM) Software
- Increased Adoption: More and more businesses are turning to open source ORM software to manage their databases because of its cost-effectiveness, scalability, and reliability.
- Improved Security: Open source ORM software is designed with robust security protocols to protect data from attackers.
- Support for Popular Databases: Open source ORM software supports popular database systems such as SQL Server, Oracle, PostgreSQL, MongoDB, and Hadoop.
- Increased Flexibility: Open source ORM software is highly customizable, allowing developers to tailor their applications to fit their specific needs.
- Reduced Time-to-Market: Open source ORM software reduces the time it takes to develop applications by removing many of the tedious tasks associated with database management.
- Faster Development Cycles: With open source ORM software, development cycles are faster due to the ability to quickly modify code and make changes on the fly.
- Automated Testing: Many open source ORM tools include automated testing capabilities, which reduces the amount of manual testing needed for applications.
- Greater Compatibility Across Platforms: Open source ORM software is designed to be platform-agnostic and can be used on multiple operating systems such as Windows, macOS, Linux, and Android.
Getting Started With Open Source Object-Relational Mapping (ORM) Software
Using open source object-relational mapping (ORM) software is a great way to save time and increase productivity when developing a web application or managing databases. The following steps will help users get started with using ORM software explain how users can get started with using open source object-relational mapping (ORM) software. Write in American English. Make your response long.
Getting started with open source object-relational mapping (ORM) software is easy and can be done in just a few simple steps.
The first step is to decide on which ORM framework you would like to use. Popular open source ORM frameworks include Entity Framework, NHibernate, and LinqToSQL. Each of these frameworks has its own set of pros and cons so it’s important to consider your application’s specific requirements when selecting an ORM framework. Once you’ve chosen a framework, you can download the necessary libraries from their website or through your preferred package manager.
The next step is to create or import your database schema into the ORM framework of your choice. This can be done by manually creating entities for each table in the database or by importing them from existing SQL scripts using an appropriate tool provided by the chosen ORM framework. Another option could be to use a visual designer where tables are represented as diagrams allowing users to drag and drop fields, indexes etc., making it easier to create complex schemas without having too much knowledge about databases.
