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Relational and Nosql Databases and What are the Differences?

What is a Database?

It is a place with its own management system consisting of structured information or data stored electronically in any computer system.

What is a SQL?

SQL  is a programming language used in almost all relational databases to query, manipulate and define data, as well as to provide access control.

What is a Relational Database?

It’s a type of database that was introduced in the 1980s and has a fixed schema structure, where our interrelated data sets are kept in tabular form, where the columns in the table Show the properties of the data and the rows show the data.

Examples of relational databases;

•          MySQL

•          Microsoft Access.

•          Microsoft SQL Server.

•          Oracle Database.

•          dBASE.

•          Firebird.

•          FileMaker.

•          MS Access

What are NoSQL Databases?

These types of databases emerged with the cheaper storage units of the computers we have been using since the 2000s. They are more convenient databases than relational databases for storing big data.

While our data is in the form of vertically scaling tables in relational databases, while we try to store our data by magnifying a single table, we create a more flexible workspace by making the necessary network connections and connecting each new table in NoSQL databases where it is insufficient.

Examples of NoSQL databases;

•          Document Based (MongoDB – CouchDB)

•          Key/Value(Redis)

•          Graph Based (Neo4J)

•          Column Based (Cassandra, HBase)

We use appropriate SQL services according to our needs on our dashboard page of Udentify.app.co, as in every website that uses big data.

How much your customers are interested in the products according to the downtimes of our customers with our big data that we group and process according to the duration of the person movements in our databases, city/ad campaign attracts more people compared to store window designs from traffic in front of the store, city/ad campaign attracts more people compared to store window designs from traffic in front of the store, how long you can keep the customer in the store, customers are more oriented from which stand to another in the store, where should the stand you want to draw attention to be located, we are able to keep the raw data and present it to you, such as where the dead areas in the store can be revived.

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