JSON is one of the most widely used human-readable data formats. JSON data can be stored and queried in PostgreSQL using the JSON and JSONB data types.
The introduction of these JSON data types marked a watershed point for relational databases, opening up a plethora of new possibilities.
You may be wondering about the difference between json vs sql, what offers two JSON data types, and other information related to json vs sql.
Continue reading, and by the conclusion of the post, you should be able to answer all of these questions!
JSON VS SQL: What is JSON?
JSON (JavaScript Object Notation) is a file format for object-oriented programming that uses human-readable language, text, and syntax to store and communicate data between applications.
What is SQL?
SQL (pronounced “ess-que-el”) is an acronym for Structured Query Language. SQL is used to communicate with databases.
According to the American National Standards Institute (ANSI), it is the standard language for relational database management systems.
SQL statements are used to conduct operations like updating or retrieving data from a database.
SQL is commonly used in relational database management systems such as Oracle, Sybase, Microsoft SQL Server, Access, and Ingres.
Although most database systems employ SQL, they also have proprietary extensions that are often used solely on their system.
However, basic SQL statements such as “Select”, “Insert”, “Update”, “Delete”, “Create”, and “Drop” can be used to perform practically any database operation.
This session will teach you the fundamentals of each of these commands while also allowing you to practice them with the SQL Interpreter.
JSON VS SQL
SQL was designed to handle data contained in flat tables with well-defined schemas. On the other hand, JSON data is more flexible, allowing for hierarchical data structures, but it does not usually have a well-defined schema, if any at all.
Advantages of JSON
1. Easy to use
JSON syntax is fairly simple to use. We must utilize only -> as a syntax because it allows for quick data parsing and speedier execution.
Because its syntax is simple and lightweight, it executes the response quickly.
2. Data-sharing tools
JSON is the finest method for transferring data of any size, including audio, video, and more.
This is because JSON stores data in arrays, which makes data transfer easier. For this reason, JSON is the best file format for web APIs and web development.
3. Schema support
It has a wide range of supported browser compatibility with operating systems; therefore, apps written in JSON don’t take much effort to be cross-browser compatible.
During development, the developer considers the various browsers, but JSON provides this functionality.
4. Server parsing.
On the server side, parsing is a crucial component that developers want. If the parsing is quick on the server side, only the user will receive a fast response; thus, in this situation, JSON server-side parsing is the strong point that shows we should use JSON on the server side.
5. Object alignment in code
Object alignment in code allows for faster creation of domain objects in dynamic languages by matching JSON and code objects.
Disadvantages of JSON
1. No error handling
JSON does not handle errors in JSON calls. If the dynamic script insertion is successful, you will be contacted and receive an accurate response. Nothing happens unless it is inserted.
It simply fails silently. For example, you cannot catch the server’s 404 error, nor can you stop or restart the request. You can, however, time out after a fair period.
2. Vulnerable
JSON can be dangerous when used with untrustworthy services or browsers. When a JSON service returns a JSON response wrapped in a function call, the browser can execute it, making the hosting web application vulnerable to various attacks.
3. Limited tools
If you intend to use JSON services, you must be aware of the vulnerabilities that JSON poses, as well as the safeguards that can be put in place.
JSON only has a few supported tools that we can utilize during JSON development.
4. Narrow focus
There is no support for formal language definitions; hence, interface contracts are difficult to convey and enforce.
No support for web services-related products (application servers, ESBs, etc.). There is no support for namespaces, resulting in limited flexibility.
SQL Data Types
When constructing a table, an SQL developer must consider the type of data that will be contained in each column.
The SQL data type guideline outlines the type of data expected in each column as well as how SQL will interact with the stored data.
Data types in each database are divided into three categories.
- Numeric Datatypes
- Date and Time Database
- String Database
Advantages of SQL
1. High speed
SQL queries allow the user to swiftly and efficiently retrieve a large number of records from a database.
2. Interactive language
SQL is a domain-specific language used to connect with databases. It is also utilized to get answers to complex inquiries in seconds.
3. Portability
SQL can be utilized on laptops, PCs, servers, and even mobile phones.
4. No coding is required.
The database system can be easily managed using normal SQL. The database system can be managed with minimal coding.
5. Multiple data perspectives.
The SQL language allows users to create distinct views of the database structure.
Disadvantages of SQL
1. Complex interface
SQL’s interface is sophisticated, making it difficult for some people to access.
2. Cost
Some SQL versions are difficult to access due to their high operational costs.
3. Partial control.
The hidden business rules prevent SQL programmers from having complete control over the database.
FAQS
Why use JSON instead of a database?
JSON databases are speedier and offer greater storage flexibility. You can also change your data model to better suit your changing application requirements.
The schema versioning approach takes advantage of the flexible document model to do this.
Can I use JSON in SQL?
JSON text values can be used in any Transact-SQL query (including WHERE, ORDER BY, GROUP BY clauses, window aggregates, and so on).
Should you convert JSON into SQL?
You may want to convert JSON to an SQL insert statement if you want to store the data included in the JSON string in an SQL database.
This is important if you want to query the data or utilize it for something else that a SQL database allows you to accomplish more easily.
What are the disadvantages of JSON database?
Limitations of JSON format
- No error handling – There is no exception handling mechanism for JSON requests.
- No comments – These two words alone can make the developer’s life difficult.
- Security – JSON can be harmful when used with untrustworthy browsers or services.
Conclusion
PostgreSQL supports JSON data using the JSON and JSONB data types. In most cases, JSONB is the ideal answer for a NoSQL-like data type.
On the other hand, JSON can be useful in certain scenarios. Here in this article, you’ve learned about json vs sql, their definitions, their types of data, and other pieces of information to learn.
Keep in mind that DbVisualizer, like many other PostgreSQL features, fully supports both JSON and JSONB formats.
DbVisualizer is a top-rated database client that is regarded as one of the best PostgreSQL editors on the market.