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  5. JSON API vs JSONata

JSON API vs JSONata

OverviewComparisonAlternatives

Overview

JSON API
JSON API
Stacks185
Followers197
Votes0
JSONata
JSONata
Stacks15
Followers10
Votes0
GitHub Stars2.4K
Forks253

JSON API vs JSONata: What are the differences?

Introduction

JSON (JavaScript Object Notation) is a lightweight data interchange format widely used in web development. JSON API and JSONata are two approaches that aim to simplify working with JSON. While both deal with JSON, they have key differences that set them apart. In this markdown, we will explore these differences and highlight their unique characteristics.

  1. Data Manipulation: JSON API is a specification that focuses on providing a consistent way to interact with JSON-based resources. It offers a set of conventions for resource modeling, URL design, error handling, and more. It provides a standardized schema for APIs to maintain consistency and interoperability. On the other hand, JSONata is a query and transformation language for JSON data. It is designed to process and manipulate JSON directly, allowing you to transform, filter, and extract data using a concise and powerful syntax.

  2. Querying Capabilities: JSON API primarily focuses on providing a structured way to fetch and interact with resources. It offers a set of standard endpoints and query parameters to filter, sort, and paginate data. However, its querying capabilities are not as advanced or flexible as JSONata. JSONata offers a rich set of built-in functions and operators that enable complex queries, transformations, aggregations, and calculations on JSON data. It provides a declarative and expressive syntax that allows you to query data in a more precise and granular manner.

  3. Schema Definition: JSON API comes with a predefined schema that defines the structure and relationships of resources. It provides conventions for representing complex relationships, polymorphism, and includes support for links and metadata. JSONata, on the other hand, does not provide a predefined schema. It allows you to work with JSON data in a more flexible and dynamic manner, without needing to adhere to a specific structure or schema. This gives you more freedom to handle different JSON data structures and adapt to changing requirements.

  4. Compatibility and Adoption: JSON API has gained significant adoption in the web development community and is supported by various frameworks and libraries. It has a well-established ecosystem that provides tools and libraries for building and consuming JSON API-compliant APIs. In contrast, JSONata is less widely adopted and is mainly used in specific use cases where advanced querying and transformation capabilities are required. It has a smaller ecosystem and fewer libraries compared to JSON API.

  5. Integration with Server-Side Technologies: JSON API is often used in conjunction with server-side technologies such as RESTful APIs or GraphQL. It provides guidelines and conventions for designing HTTP-based APIs that follow REST principles. It helps in standardizing API responses, error handling, and resource relationships. JSONata, on the other hand, is primarily used for client-side data manipulation and querying. It can be embedded in client-side code or used in tools like data wrangling or ETL (Extract, Transform, Load) processes.

  6. Use Cases: JSON API is commonly used in scenarios where a structured and standardized approach to interacting with JSON-based resources is required. It is suitable for building web APIs that expose JSON data and need consistent representations, error handling, and pagination support. JSONata, on the other hand, is useful in scenarios where complex JSON data needs to be transformed, filtered, or aggregated dynamically. It is well-suited for tasks like data analysis, report generation, and data migration.

In summary, JSON API focuses on standardizing JSON-based APIs, providing a consistent way to interact with resources. JSONata, on the other hand, is a query and transformation language that offers advanced querying capabilities and flexibility in handling JSON data.

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Detailed Comparison

JSON API
JSON API
JSONata
JSONata

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

-
Lightweight query and transformation language for JSON data; Inspired by the location path semantics of XPath 3.1; Sophisticated query expressions with minimal syntax; Built in operators and functions for manipulating and combining data; Create user-defined functions; Format query results into any JSON output structure
Statistics
GitHub Stars
-
GitHub Stars
2.4K
GitHub Forks
-
GitHub Forks
253
Stacks
185
Stacks
15
Followers
197
Followers
10
Votes
0
Votes
0
Integrations
No integrations available
JSON
JSON

What are some alternatives to JSON API, JSONata?

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.

Prisma

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

PostGraphile

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

OData

OData

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.

Oracle PL/SQL

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

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

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

graphql.js

graphql.js

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

JsonAPI

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.

GraphQL Ruby

GraphQL Ruby

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

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