JsonAPI vs OData

Overview

JsonAPI

Stacks92

Followers105

Votes0

OData

Stacks61

Followers139

Votes35

JsonAPI vs OData: What are the differences?

# Introduction

Key differences between JsonAPI and OData:

1. **Data Structure**: JsonAPI uses a specific structured format for data responses, including links between related resources, while OData offers more flexibility in data structure and allows for complex querying capabilities.
2. **Versioning**: JsonAPI does not have built-in support for versioning, whereas OData provides clear guidelines and support for versioning APIs to maintain compatibility over time.
3. **Querying**: OData supports advanced querying functionalities such as filtering, sorting, and expanding relationships, which JsonAPI does not have out of the box.
4. **Metadata**: OData includes metadata capabilities to describe the structure of data entities, which helps in self-explanatory APIs, whereas JsonAPI lacks explicit metadata features and relies on conventions for data interpretation.
5. **Protocol**: JsonAPI follows a specific protocol for API design and data representation, while OData is more protocol-agnostic and can be implemented over various protocols like HTTP, Atom, or JSON.
6. **Community and Ecosystem**: OData has a larger and more established community with extensive tooling and support, while JsonAPI has a smaller but growing community that focuses on simplicity and standardization.

In Summary, the key differences between JsonAPI and OData lie in data structure, versioning support, querying capabilities, metadata handling, protocol adherence, and community ecosystem.

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CLI (Node.js)

Manual

Detailed Comparison

JsonAPI	OData
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.	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.
-	OData RESTful APIs are easy to consume; ISO/IEC approved
Statistics
Stacks 92	Stacks 61
Followers 105	Followers 139
Votes 0	Votes 35
Pros & Cons
No community feedback yet	Pros 7 Patterns for paging, sorting, filtering 5 ISO Standard 4 Query Language 3 RESTful 3 No overfetching, no underfetching Cons 1 Overwhelming, no "baby steps" documentation
Integrations
No integrations available	Python C++ JavaScript Visual Studio Code .NET Java

What are some alternatives to JsonAPI, OData?

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.

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

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.

GraphQL Ruby

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

Trino

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.

Related Comparisons

JsonAPI vs OData: What are the differences?

# Introduction

Key differences between JsonAPI and OData:

1. **Data Structure**: JsonAPI uses a specific structured format for data responses, including links between related resources, while OData offers more flexibility in data structure and allows for complex querying capabilities.
2. **Versioning**: JsonAPI does not have built-in support for versioning, whereas OData provides clear guidelines and support for versioning APIs to maintain compatibility over time.
3. **Querying**: OData supports advanced querying functionalities such as filtering, sorting, and expanding relationships, which JsonAPI does not have out of the box.
4. **Metadata**: OData includes metadata capabilities to describe the structure of data entities, which helps in self-explanatory APIs, whereas JsonAPI lacks explicit metadata features and relies on conventions for data interpretation.
5. **Protocol**: JsonAPI follows a specific protocol for API design and data representation, while OData is more protocol-agnostic and can be implemented over various protocols like HTTP, Atom, or JSON.
6. **Community and Ecosystem**: OData has a larger and more established community with extensive tooling and support, while JsonAPI has a smaller but growing community that focuses on simplicity and standardization.

In Summary, the key differences between JsonAPI and OData lie in data structure, versioning support, querying capabilities, metadata handling, protocol adherence, and community ecosystem.

JsonAPI vs OData

Overview