What are SQL and NoSQL databases and what are their differences?
Before choosing the right database for storing data from your application or website, it's important to know what you need first. Most commonly application developers have a choice between two main categories of database: SQL and NoSQL.
An SQL database is like a large, formalized Excel spreadsheet that consists of tables that have records (rows) and fields (columns). The definition of tables and rows is called a schema. Schema is an essential and required aspect of SQL. Think of it as a template of data you want to send to the database.
Popular SQL databases include Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.
NoSQL databases, unlike SQL databases, do not rely only on SQL structure used to communicate with a database and can be used in other ways
There are four broad categories of NoSQL databases:
One of the most widely used NoSQL databases, MongoDB, ranked fifth on DB-Engines’ list and was the highest ranked of the four non-relational databases included in the top 10.
MySQL
MySQL is an open source database and is part of the family of relational database management systems (RDBMS). It has been in service for over 25 years and is backed by the Oracle Corporation. It is based on the structured query language (SQL) and works for both desktop applications and database-driven web applications as well. MySQL is very easy to use and being very fast, making it popular choice for small in web applications. It typically used in small in scale web apps that don’t need very complex high perfomance although its used sometimes as well and suitable for medium sized web applications. MySQL has speed that can result in superior database performance and support for scalability with support for unlimited storage growth and small footprint.
PostgreSQL
PostgreSQL is one of the world’s most widely used database systems in the world, offering support for not only structured query language (SQL), but JSON as well, making it a great choice for database-driven enterprise applications. In this database programming and database administration tutorial, we discuss what PostgreSQL is, its relation to SQL, and the benefits of working with the hybrid database system. Features of PostgreSQL:
MongoDB
MongoDB is a document-oriented NoSQL database used for high volume data storage. Instead of using tables and rows as in the traditional relational databases, MongoDB makes use of collections and documents. Documents consist of key-value pairs which are the basic unit of data in MongoDB. Collections contain sets of documents and function which is the equivalent of relational database tables. Mongodb also supports JSON and employs, BISON - JSON like documents that are, binary into typically smaller files that easier to manipulate and make data management fasterIts flexible for formatting data structures and has dynamic schema design, fosters a more flexible environment and database development.
Conclusion
The best way to choose a suitable data management program for your operating system is based on scale and wanted results of your project or business. Each one has its own distinct advantage, and the type of data you need to store determines which one you choose.