Jeffrey Erickson | Content Strategist | April 4, 2024
In web and mobile application development, one versatile data format reigns supreme: JavaScript Object Notation, better known as JSON. JSON is a lightweight data interchange format that provides a standardized and efficient way for different systems to exchange data. Thanks to its simplicity, flexibility, and compatibility with popular programming languages, JSON has become a cornerstone technology for building web applications and enjoys avid developer community support.
Here’s what you need to know about JSON.
JSON (JavaScript Object Notation) is a text-based format for storing and exchanging data in a way that’s both human-readable and machine-parsable. As a result, JSON is relatively easy to learn and to troubleshoot. Although JSON has its roots in JavaScript, it has grown into a very capable data format that simplifies data interchange across diverse platforms and programming languages. If you're involved in web development, data analysis, or software engineering, JSON is an important data format to understand.
Key Takeaways
JSON is a data format that’s commonly used by web developers for transferring data between a server and a web application. Developers often prefer JSON because it simplifies the exchange of data between different technologies. For example, when a user interacts with a web application to make a purchase, the application sends the user's input to the server in JSON format. The server processes the data and sends back a response, also in JSON format, which is then rendered by the web application. This allows for seamless data exchange between client and the server, facilitating fast, dynamic, and interactive web experiences.
JSON's language-independent nature makes it an ideal format for exchanging data across different programming languages and platforms. For instance, an application written in Java can easily send JSON data to a Python application. Or a mobile app written in JavaScript can use JSON to communicate with a back-end server written in PHP. Why? Because both systems can parse and generate JSON.
Beyond web development, JSON is often used within an application or an IT system for storing and managing configuration settings. For example, configuration files written in JSON format can contain essential information, such as database connection details, API keys, or user preferences. By storing configuration data in simple, easy-to-read and easy-to-parse JSON files, developers can modify application settings without requiring code changes.
JSON is popular with developers because it’s a flexible format for data exchange that enjoys wide support in modern programming languages and software systems. It’s text based and lightweight and has an easy-to-parse data format, meaning it requires no additional code to understand and interpret the data provided.
JSON has gained momentum in API programming and web services because it delivers faster data interchange and web service results. It also helps that developers have ready access to open source, NoSQL document databases, such as MongoDB and others, that store data in JSON format and require no additional processing when they exchange data. Popular relational databases can now handle JSON as a native format, opening even more applications to the benefits of JSON.
There are a number of formats for storing and transmitting data on the web. Three popular choices are JSON, XML, and HTML. JSON and XML are both formats used to store and transmit data, and each has different strengths. HTML is a language used to create the structure of a web page and is often used alongside these data storage formats.
In the context of development, data types are the different types of values that can be stored and manipulated in a programming language. Each data type has its own set of attributes and behaviors. JSON supports several data types, including the following:
JSON works by representing data in a hierarchical fashion, using key-value pairs to store information. JSON data is enclosed in curly braces ({}), with each key-value pair separated by a comma (,). For example, the following JSON represents a person's contact information:
```
{
"name": "Jane Smith",
"age": 35,
"city": "San Francisco",
"phone": "014158889275",
"email": "janesmith@sample.com"
}
```
In this example, "name," "age," "city," "phone," and "email" are the keys, and "Jane Smith," "35, " "San Francisco," "014158889275," and "janesmith@sample.com" are the corresponding values.
JSON is popular and widely used by developers, including those who work with stacks such as MERN, which comprises MongoDB, Express, React, and Node.js, and MEAN, which subs in Angular for React.
JSON’s popularity among developers has spawned a number of highly capable databases that are dedicated to the data format, including both SQL and NoSQL databases.
NoSQL document databases store data directly in JSON format without requiring additional processing. Popular NoSQL databases, such as MongoDB, Redis, and Couchbase also support nesting, object references, and arrays, which makes a JSON database easier to maintain. In recent years, these NoSQL databases have evolved to offer advantages such as flexible schemas and improved scaling and performance. With their support for flexible and dynamic data structures, these databases excel at storing semi-structured data, such as text documents, images, or social media feeds.
Widely used SQL databases, such as Oracle Database, now offer JSON as a data type, allowing developers to work with JSON without having to add a specialized JSON database into their projects. This gives dev teams the well-established benefits of SQL as well as the ability to work with other data types in a single database, including graph, spatial, REST, blockchain, and relational data.
Those looking to use JSON to manage their data may want to consider Oracle Autonomous JSON Database, a full-featured, cloud-based document database service that makes it simple to develop JSON-centric applications. Oracle Autonomous JSON Database also offers a wide range of sophisticated database features, including NoSQL-style document APIs via Oracle SODA and Oracle Database API for MongoDB, serverless scaling, high performance ACID transactions, and comprehensive security, with low pay-per-use pricing.
Oracle also offers an easy-to-use database service that automates database management, including capabilities for provisioning, configuring, tuning, scaling, patching, encrypting, and repairing databases. You can get started with Oracle Autonomous JSON Database for free and take advantage of many useful features.
JSON has become a simple, versatile, and ubiquitous data format across many domains, including web development, data exchange, configuration management, and data transmission. Its widespread adoption and support among the most popular programming languages have solidified JSON’s position as a cornerstone of modern data interchange and communication.
Oracle Autonomous JSON Database is a document database cloud service that makes it simple to develop JSON-centric applications.
Is JSON a file or code?
JSON is neither a file nor a code. Instead, it’s a simple format used to store and transport data. It is a plain-text format, which allows for easy data interchange between different programming languages. JSON is often used to send data between web applications and servers.
Is JSON is a programming language?
JSON is not a programming language. It is, rather, a lightweight data interchange format. While it was derived from JavaScript, JSON itself does not support functions the way a true programming language does. JSON is simply used for storing and transmitting data between a server and a web application or between different systems.
Is JSON better than XML?
While JSON and XML are both used by developers to store and transfer data between systems, they’re generally used in different circumstances. XML (Extensible Markup Language) is a general-purpose markup language that allows for the creation of complex, hierarchical data structures, while JSON's lightweight and compact nature makes it a better choice for transmitting data over networks—especially in applications where bandwidth is limited or data transmission speed is critical.