JSONiq vs OData

Overview

OData

Stacks61

Followers139

Votes35

JSONiq

Stacks14

Followers4

Votes0

OData vs JSONiq: What are the differences?

OData: *A REST-based protocol for querying and updating data *. 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; JSONiq: A query and processing language specifically designed for the popular JSON data model. 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.

OData and JSONiq belong to "Query Languages" category of the tech stack.

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CLI (Node.js)

Manual

Detailed Comparison

OData	JSONiq
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 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.
OData RESTful APIs are easy to consume; ISO/IEC approved	Complex Processing; Decades of Lessons Learnt; Expressive and highly optimizable language to query and update NoSQL stores; Stable and maintained
Statistics
Stacks 61	Stacks 14
Followers 139	Followers 4
Votes 35	Votes 0
Pros & Cons
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	No community feedback yet
Integrations
Python C++ JavaScript Visual Studio Code .NET Java	JSON

What are some alternatives to OData, JSONiq?

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.

JsonAPI

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.