#No sql vs mysql software#

SQL databases support vertical scaling, In vertical scaling, we improve the single server by increasing RAM, SSD, or CPU. Scalabilityīoth databases are scalable but when it comes to high scalability NoSQL shines. If we try to compare SQL and NoSQL then tables are equivalent to collections, and rows are equivalent to documents.

There are various types of NoSQL databases like graph databases or wide-column stores which are easy to use and understand. This data is stored in the form of a key-value pair, unlike SQL where we store data under the fixed schema. On the other hand, NoSQL databases contain collections, and inside every collection, there is a document that contains the data of a single entry. All the data in SQL is arranged in tabular format, it is well suited for complex queries. SQL databases are in the form of tables that contain rows and columns, and they have fixed logical schema design. There are various parameters on which we can compare SQL and NoSQL Database Structure There are 4 major types of NoSQL databases: There is no specific structure for NoSQL databases they can have a variety of structures. In the above example, we have stored data using collections, each collection has multiple documents. We have the Employee_Info database in which we have two collections Employee and Projects and these collections have a number of documents. In the above example, the object in which data is stored is known as JSON(Javascript object notation).Ĭonsider the following image.

If we compare the documents and collections with RDBMS then the collections are analogous with the table and the documents are analogous with the rows. In NoSQL, we have collections that are nothing but the grouping of these documents. Consider the following image where the data is stored in the object. Here we store data in the form document which is a key value pair data structure. Non-relational databases are different from traditional relational databases. As the name suggests, data is not formed in form tables in NoSQL databases.

NoSQL stands for “Not Only SQL” or “Non-SQL”. There are various examples of SQL databases like MySQL, MariaDB, Oracle, PostgreSQL which are used to manage the databases. This traditional system of managing data is known as an RDBMS. We add a new record as a new row in the respective table.

Consider the following image: we have different tables and one table is a representation of one entity. In Relational databases, we store data in the form of tables, rows, and columns and some of the tables are connected with each other with some relation.

#No sql vs mysql software#

RDBMS is software used to store, manage, query, and fetch data stored in a relational database. We use SQL in a Relational Database Management System also known as RDBMS. SQL is pronounced as “S-Q-L” or “See-Quel” and stands for Structured Query Language. In this article, we will see the difference between these two databases and when to use them, but first let’s see what they are in detail. In this article we will focus on two broader types of databases SQL and NoSQL which are majorly used these days, maybe someday you will require one of them in your application so this article will help you to choose the right database for your use case. There are a lot of databases available in the market. So in order to store large amounts of data we need databases. These days most things are driven by data or you can say that “ Data is the new oil”.