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  5. OData vs Prisma

OData vs Prisma

OverviewComparisonAlternatives

Overview

OData
OData
Stacks61
Followers139
Votes35
Prisma
Prisma
Stacks1.3K
Followers974
Votes55
GitHub Stars44.2K
Forks1.9K

OData vs Prisma: What are the differences?

Introduction

In this article, we will compare and contrast OData and Prisma and highlight the key differences between them.

  1. Support for Different Data Sources: OData is an open standard that allows interoperability between different systems and data sources. It allows data to be accessed and manipulated through standard HTTP protocols. On the other hand, Prisma is an open-source database toolkit that supports various databases such as MySQL, PostgreSQL, and SQLite. It allows developers to work with databases using a type-safe and auto-generated query API.

  2. Query Language: OData provides a flexible query language called OData Query Language (OData URL conventions) that allows clients to filter, sort, and paginate data. It supports various query options such as $filter, $orderby, and $top. Prisma, on the other hand, uses its own query language called Prisma Query Language (PQL). PQL provides a rich set of features for creating complex queries and is optimized for database operations.

  3. Schema Definition and Management: OData follows a metadata-driven approach, where the data model and schema are defined using the Entity Data Model (EDM) and are exposed through Service Metadata Document (EDMX). Prisma, on the other hand, uses a code-first approach, where the schema is defined using Prisma Schema files written in the Prisma Schema Definition Language (SDL). Prisma schema files define the data model and can be easily version-controlled and managed with Git.

  4. Data Validation and CRUD Operations: OData provides built-in support for basic data validation and CRUD operations. It allows clients to create, read, update, and delete data using standard HTTP methods such as GET, POST, PUT, and DELETE. Prisma, on the other hand, provides a powerful query API with type safety, allowing developers to perform CRUD operations using a more intuitive and type-safe syntax. Prisma also provides support for advanced filtering, aggregation, and data manipulation operations.

  5. Integration with Frameworks and Tools: OData has wide support and integration with various programming languages and frameworks, including .NET, Java, Node.js, and more. It provides OData libraries and tools for seamless integration with these frameworks. Prisma, on the other hand, is primarily focused on Node.js and TypeScript development. It provides TypeScript and JavaScript APIs for working with databases and integrates well with popular Node.js frameworks and tools like Express.js and Apollo Server.

  6. Community and Ecosystem: OData has a well-established community and ecosystem with active contributors, forums, and documentation. It is widely adopted by various organizations and has extensive tooling support. Prisma, being a relatively newer technology, has a growing community and ecosystem. It has gained popularity for its developer-friendly features and performance optimizations.

In summary, OData and Prisma have different approaches to data access and management. While OData focuses on providing interoperability between different data sources and follows a metadata-driven approach, Prisma aims to simplify database access for developers using a code-first approach with a type-safe and auto-generated query API.

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Detailed Comparison

OData
OData
Prisma
Prisma

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.

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.

OData RESTful APIs are easy to consume; ISO/IEC approved
Auto-generated and type-safe query builder for Node.js & TypeScript; Declarative data modeling & migration system; GUI to view and edit data in your database; Single source of truth for database and application models; Auto-completion in code editors instead of needing to look up documentation; Less boilerplate so developers can focus on the important parts of their app; Queries not classes to avoid complex model objects;
Statistics
GitHub Stars
-
GitHub Stars
44.2K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
61
Stacks
1.3K
Followers
139
Followers
974
Votes
35
Votes
55
Pros & Cons
Pros
  • 7
    Patterns for paging, sorting, filtering
  • 5
    ISO Standard
  • 4
    Query Language
  • 3
    No overfetching, no underfetching
  • 3
    RESTful
Cons
  • 1
    Overwhelming, no "baby steps" documentation
Pros
  • 12
    Type-safe database access
  • 10
    Open Source
  • 8
    Auto-generated query builder
  • 6
    Supports multible database systems
  • 6
    Increases confidence during development
Cons
  • 2
    Doesn't support downward/back migrations
  • 1
    Do not support JSONB
  • 1
    Mutation of JSON is really confusing
  • 1
    Doesn't support JSONB
  • 1
    Do not support JSONB
Integrations
Python
Python
C++
C++
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
.NET
.NET
Java
Java
TypeScript
TypeScript
Node.js
Node.js
Microsoft SQL Server
Microsoft SQL Server
PostgreSQL
PostgreSQL
Serverless
Serverless
Apollo
Apollo
SQLite
SQLite
MongoDB
MongoDB
GraphQL
GraphQL
MariaDB
MariaDB

What are some alternatives to OData, Prisma?

GraphQL

GraphQL

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.

Sequelize

Sequelize

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.

PostGraphile

PostGraphile

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

Hibernate

Hibernate

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

Doctrine 2

Doctrine 2

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.

MikroORM

MikroORM

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

Entity Framework

Entity Framework

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.

peewee

peewee

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.

MyBatis

MyBatis

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.

Entity Framework Core

Entity Framework Core

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.

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