Learn About Most Popular Databases

In this blog, we will be discussing the most popular databases available in the market.

Every company has today become data-centric. Data has become the new oil in the industry today. Every company, from a small startup to an MNC is producing tons of data every day. They use data to analyze and on the basis of that, decide strategies for the growth of their business.  It will be very difficult to find data manually from files. Using a database you can easily retrieve specific data with queries. You can also add, delete, update data. So, What’s the right way to store the data?

Database Management Software comes to the rescue. A database is a collection of related data. You can think of a database as a locker where you store your sensitive items. In the same way, a Database can store huge amounts of data securely. Increasing demand for processing huge quantities of data has led to databases being more critical for companies than ever. 

The proliferation of social media websites, such as Facebook, Instagram, Twitter has required the creation of huge databases that store non-traditional data as well such as images, videos, posts, etc. That is why, the need demanded that the databases not only store the structured data but also unstructured data like images, videos.

The most common types of databases are SQL Databases and NoSQL (Not only SQL) Databases. The huge variety of databases can puzzle your mind on choosing the right database for your need. That is why we will be discussing various popular databases along with a scenario of using them.

Once the business data has been centralized and integrated, the value of the database is greater than the sum of the pre-existing parts.

Larry Ellison

1. PostgreSQL

[Image Source: PostgreSQL ]

PostgreSQL is a powerful, open-source object-relational database system. It uses SQL Language. PostgreSQL is lightweight, easy to install, highly flexible, and also supports relational and non-relational models. It supports most popular programming languages like Python, Java, JavaScript,  C/C++, C#, Go, Ruby, etc.

Generally, when a cross-platform database is required at high availability, PostgreSQL is used. PostgreSQL is responsible for nearly all data storage, validation, and integrity constraints.

It is compatible with almost all Operating Systems including Microsoft Windows, Linux, MacOS X, etc. It supports Data Integrity.

This database supports multiple data types such as Structured, Primitives, Customizations, Document, and Geometry. The main disadvantage of it is that it has a comparatively low reading speed.

2. MySQL

[Image Source: MySQL]

Do you want a database that is really fast to execute and also gives high performance? Indeed yes. Everyone loves speed and performance. MySQL Database is one of the fastest databases you can get.

MySQL is a relational database management system based on SQL – Structured Query Language. It is used for a wide range of purposes, including data warehousing, e-commerce. MySQL is free as well as open-source. This database is also multi-threaded in nature. That means multiple users can connect to the same database simultaneously.

MySQL is highly portable and can be used on almost all Operating Systems. Also, as data volumes and user loads increase, the database needs to be scaled up to cope with the additional workload without a drop in performance.  MySQL can be scaled as and when needed.

Talking about the disadvantages, MySQL does not support a very large database size as efficiently. Also, it doesn’t support SQL check constraints.

3. MongoDB

[Image Source: MongoDB]

Is your data document-centric and doesn’t fit well into the schema of a relational database? Then, go with MongoDB Database. MongoDB is an open-source NoSQL database management program. This database stores data as documents. These documents are stored in JSON (JavaScript Object Notation) format. 

It uses both a document-oriented data model and an unstructured query language. It provides scalability and flexibility for developers to easily use and learn the tool.

MongoDB offers high speed and flexibility.

The main disadvantage of this database is that it doesn’t support joins. Another one of the major limitations of MongoDB is the duplication of data.

4. MariaDB

[Image Source: MariaDB]

MariaDB Server is one of the most popular open-source relational databases. It’s made by the original developers of MySQL and guaranteed to stay open source. It is quite similar to MySQL in architecture and functionality. But it has some added advantages too. Hacking attempts are on the rise every year, and a breach can have serious consequences. That is why having a secured database is the topmost priority. MariaDB is highly secure and offers database encryption. It also offers role-based access control.

It is also very important that a database queries quickly since it directly impacts the business. Users want an instant response to their queries. MariaDB outperforms MySQL in terms of performance and efficiency.

As a downside, it becomes quite slow on large data.

5. Redis

[Image Source: Redis]

You are creating an application where multiple apps might need to share data. In this scenario, Redis is the goto database.  Redis lets your multiple services share a common memory space.

Redis is a popular in-memory database used for a variety of projects, like caching and rate-limiting. It focuses a lot on latency and the fast retrieval and storage of data. So it operates completely on memory (RAM) instead of storage devices (SSD/HDD).

It is a key-value database like MongoDB. It is also open-source. Redis is easy to configure and supports multiple data types.

The main disadvantages of this database are that it requires more memory and does not support join queries.

6. Cassandra

[Image Source: Cassandra]

Database like MariaDB and some others work extremely well with small to average data size. But what if your data is really huge? Obviously, you cannot compromise with speed, performance, and efficiency. You really need a database capable of handling huge data. Is there any database like that? Yes, there surely is. Cassandra!

Apache Cassandra is a highly scalable, high-performance distributed database designed to handle large amounts of data across many servers. This means that it distributes the data among multiple servers so as to increase the speed.

It is a NoSQL Database. It also provides high availability with no single point of failure. Cassandra supports almost all data formats from structured, semi-structured, or unstructured data. This database is widely used in the big-data industry.


So, we discussed the most popular databases available in the market now. There is no best or worst database. Each of them is having its own pros and cons and is built for some specific purposes that we discussed. That is why to select the right database for your need, you need to understand the differences between relational and non-relational databases. You can get to know the explanation about different types of databases from this blog.

Apart from that, you need to carefully examine what is your priority whether speed or security.

Hope you gained some useful knowledge from this blog!