Databases For Web Development

 

Databases are the storehouse of every form of data and information. Databases are ideal for storing details related to every aspect of your project. 

Storing information is crucial for proper access to data during project development and operation. The choice of the database depends upon the frequency, way, and purpose of accessing and manipulating data. 

The success of your data retrieval and manipulation of the project data depends upon the choice of database you make. 

Here are some of the most popular databases used for web development along with another development process.  

MySQL 

It is one of the most popular databases used in major tech companies. Popular companies like Facebook, Adobe, and Google make use of the MySql database. 

MySQL database provides different editions solving a wide variety of business problems. It can be classic edition, business edition, or enterprise edition. 

MySQL is a relational database management system. It implies that the database makes use of tables and relationship between them to store all the data. 

Some of the features of the MySQL database are as follows:

• It is a relational database management system. It implies you can take advantage of all the features provided by a relational database management system. 
• It is a secure and highly scalable database management system.
• MySQL can hold large databases and tables up to 50 million rows and more. 
• MySQL can be used and integrated with other languages like PHP, Node js, Java, etc. 
• You can install and run MySQL databases on numerous platforms like Linux, Mac, Windows, etc. 

Microsoft SQL Server 

Microsoft SQL server is another widely used relational database management system. It was developed using C and C++. 

It has inbuilt SQL support. Thus, if you are familiar with SQL, you can operate with a Microsoft SQL Server without any hassle. 

There are numerous versions of the Microsoft SQL Server. Some of them are Azure SQL, enterprise edition, compact edition, etc. Tech companies prefer enterprise edition above any other variant. 

It is a platform-dependent relational database management system. It is limited to Windows. Despite the fact, it is a high-performing powerful database system. 

Some of the features of Microsoft SQL server are as follows:

• The use of the database compression technique eliminates the need to worry about the storage space occupied. 
• It has built-in security mechanisms for securing and protecting your data. Some of them are dynamic data masking, robust auditing, transparent data encryption, etc. 
•  It allows you to create tables, designs without the use of strict syntax. 
• Multiple users can use the database simultaneously without managing the workload. 
• You can integrate other non-relational sources with the Microsoft SQL Server.

Oracle

Oracle is one of the widely used and popular databases used in the industry. It is a powerful database management system with good documentation. 

It has a large set of advanced features like the conversion from JSON to SQL. The well-written documentation of the database makes it easy to use and understand. 

It makes use of less storage space. Thus, you can work with the database without thinking about the memory constraints. 

Some of the features of the Oracle database are as follows:

• It is a highly scalable and secure database management system.
• It provides numerous functionality like graph DBMS, JSON to SQL, and many more. 
• You can even store data in the form of key-value pair
• It is available for multiple platforms like Linux, Windows, and Unix. 
• It allows for writing robust code with datatype constants and many other advanced features. 

MongoDB 

If you are looking for a No SQL database, MongoDB can be your choice. It is a cross-platform database developed using languages like C, JavaScript, and C++. 

It is a document-based database. It stores all your data in JSON document format. Thus, it is a high-speed and efficient database for storing data. 

The use of JSON data format allows for easy access and retrieval of data. Thus, you can access simultaneous data altogether. MongoDB is widely used for IoT projects, analytics projects, etc. 

Some of the features of MongoDB are as follows:

• The JSON format of storing the data allows you to store, retrieve and manipulate data faster.
• It is an easy-to-use and highly scalable database. 
• The deployment flexibility of MongoDB helps in fast and easy data migration. 
• You can use MongoDB with other languages like NodeJS without any hassle. The built-in support helps in integrating it with other languages. 
• MongoDB provides a simple administration in case of failures. 

PostgreSQL 

PostgreSQL is a SQL-based, open-source database developed using the C language. It is one of the ideal databases for handling a large amount of data. Its capability of handling large amounts of data is increasing its demand day by day. 

PostgreSQL database runs on multiple platforms like Windows, Linux, Mac, and Solaris. It is used by companies developing games, database automation tools, domain registries, and many others. 

PostgreSQL database is ideal for projects handling a large amount of data, fault-tolerant environment design, and many others.  

Some of the features of PostgreSQL are as follows:

• It provides easy data portability while handling a large amount of data simultaneously. 
• It has an effective built-in disaster support mechanism and features. 
• It is an Object-relational database management system. 
• PostgreSQL has built-in support for procedures, views, tables, views, joins, and many others. 
• It is a fast database providing fast access to data stored in the database. 

Elastic Search 

It is an analytical search engine making use of the Lucene library. It is a full-text search, open-source database widely used in web development. 

It is used by companies like Github, Wikipedia, etc. Elastic search does not make use of schema at all. 

It makes use of JSON format and HTTP interfaces. It is a high-performance database. You can store both structured as well as unstructured data in Elastic search. 

Some of the features of an elastic search database are as follows:

• It supports data storage through schema-free JSON documents. 
• You can create replicas of indexes and shards.
• It is a high-performing database and can easily scale for storing a large amount of data.
• It allows users to search data speedily and easily
• It has well-written documentation. Thus, anyone can get started using the Elastic Search database without any hassle. 

Conclusion

Choosing a database for a project or task can be a difficult choice. There are a plethora of options available for databases. The requirements of the project and the way of accessing the data can help you pick one database for your project. 

The efficiency of the database operations in your project will depend upon the database chosen. Thus, before selecting a database, make sure to understand the requirements of your project. Research the features that a database has to offer and then decide which database to choose. 

I hope the above databases with their features will help you choose the appropriate database for your project. If you use any other database or from the list, do let us know in the comment sections below.