Your question: Should I use SQL JSON?

Should you use JSON in SQL?

JSON (like XML) is great for data exchange, small storage and generically defined structures, but it cannot participate in typical actions you run within your RDBMS. In most cases it will be better to transfer your JSON data into normal tables and re-create the JSON when you need it.

Is it good idea to store JSON in database?

Your approach (JSON based data) is fine for data you don’t need to search by, and just need to display along with your normal data. Edit: Just to clarify, the above goes for classic relational databases. NoSQL use JSON internally, and are probably a better option if that is the desired behavior.

Can I store JSON in SQL?

SQL Server and Azure SQL Database have native JSON functions that enable you to parse JSON documents using standard SQL language. You can store JSON documents in SQL Server or SQL Database and query JSON data as in a NoSQL database.

What is JSON format?

JavaScript Object Notation (JSON) is a standard text-based format for representing structured data based on JavaScript object syntax. It is commonly used for transmitting data in web applications (e.g., sending some data from the server to the client, so it can be displayed on a web page, or vice versa).

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Is MongoDB a JSON?

Start Thinking in JSON

In MongoDB, data is stored as documents. These documents are stored in MongoDB in JSON (JavaScript Object Notation) format. JSON documents support embedded fields, so related data and lists of data can be stored with the document instead of an external table.


A JSON database is arguably the most popular category in the NoSQL family of databases. NoSQL database management differs from traditional relational databases that struggle to store data outside of columns and rows.

Is it better to store data in JSON or CSV?

CSV is mainly used only when there is a requirement of sending a large volume of data, and there is an issue with bandwidth. CSV cannot be used where the data is complex and unstructured; then only JSON is the better option to work with complex data. … JSON can be expensive, but it will be used for a long time than CSV.

Can you query a JSON file?

You can query JSON data using a simple dot notation or, for more functionality, using SQL/JSON functions and conditions. You can create and query a data guide that summarizes the structure and type information of a set of JSON documents.

Which database is best for storing JSON data?

If you’re using static JSON data and active data that’s structured for SQL storage, Postgres is a good shout — its JSONB representation is efficient and allows for indexing. That said, you can use ODBC and BI integration to run SQL queries on MongoDB reporting, too.