SQL vs. NoSQL Databases

This post was originally published on Pure Storage


SQL and NoSQL are two types of databases. A NoSQL database can store unstructured data in massive amounts, while a SQL database uses standard tables to store data.

Applications need a database to store data. Data is stored in a structured or unstructured format, also referred to as relational and non-relational databases. To query data, structured databases use standard SQL, while unstructured databases use NoSQL. The way you store data will determine the way that you retrieve it and the type of database that you need.

What Is a SQL Database?

Structured databases have constraints set on each table column limiting the type of data that can be stored. For example, if you want to save a total for an order, the only legitimate value is a decimal number. In a structured database, the administrator can restrict values to decimal values to preserve data integrity and avoid inconsistencies. An example of a SQL database is SQL Server.

To query a structured database, vendors use Structured Query Language (SQL). Data is stored in tables with constraints on columns, so developers creating queries can expect specific values in results. SQL provides joins to connect tables in queries so that a single data

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