the main difference between relational and non-relational database is that the relational database stores the data in tables while the non-relational database stores the data in key-value format, in documents or by some other method. without using tables as a relational database.
A database is a collection of related data. A database management system (DBMS) is software that helps you easily store, access, and manage data. There are various types of databases and relational and non-relational databases are two of them.
Key Areas Covered
1. What is a relational database
– Definition, Functionality
2. What is a non-relational database
– Definition, Functionality
3. What is the difference between relational and non-relational database?
– Comparison of key differences
What is a relational data base
The database model defines the logical design and structure of a database. Additionally, it defines how data is stored and accessed by a DBMS. Here, a relational database is based on the relational model. The relational database stores data in tables. A table consists of rows and columns. Where, the rows represent each entity while the columns represent attributes.
For example, let’s assume a sales database. The customer table has columns or attributes like customer id, name, address, contact_no. Each row in the table represents a single customer. The primary key of the customer table is customer_id. It helps to identify each record separately. Also, suppose there is another table called orders in the sales database. It has order_id, order_name, date, customer_id. The customer_id in the customers table is a foreign key in the orders table. Therefore, the two tables are related to each other. In a relational database, the tables are associated with each other.
Data in relational database tables can be normalized to minimize data redundancy. Also, Structured Query Language (SQL) helps to query the data in a relational database.
What is a non-relational database
A relational database is not effective at storing a large amount of data like BigData. The non-relational database is a solution to this problem. Furthermore, it is also called non-relational database. NoSQL . These databases can store large data. It is also possible to pool data across multiple machines to reduce maintenance costs.
Column Databases – Read and write data column wisely. This is useful in data analysis. E.g. Apache Cassandra.
Stored Key Value Database – Fast and not very customizable. E.g. Couchbase Server, Redis.
Cache Databases – Store data on disk or in cache. E.g. memcache
Graph databases – Consist of nodes. Relationships are created using borders. E.g. Oracle NoSQL, Neo4J.
Difference Between Relational and Nonrelational Database
Relational database is a database based on the relational model of data, as proposed by EF Codd in 1970. Non-relational database, on the other hand, is a type of database that provides a mechanism to store and retrieve data that is modeled in a way in addition to the tabular relationships used in relational databases.
Relational databases are also called SQL databases while unrelated databases are also called NoSQL databases.
Relational databases use SQL while non-relational databases do not use SQL.
Another difference between relational and non-relational database is that relational databases cannot be further categorized. In contrast, key-value, document, column, and chart databases are nonrelational database types.
Relational databases help achieve complex queries. In addition, they provide flexibility and help analyze the data. Non-relational databases work well with large amounts of data. In addition, they reduce latency and improve performance. T
MySQL, SQLite3 and PostgreSQL are some DBMS that use relational databases. Cassendra, Hbase, MongoDB, and Neo4 are some non-relational databases.
The main difference between relational and non-relational database is that relational database stores data in tables while non-relational database stores data in key-value format, in documents or by some other method without using tables. like a relational database.