Securing information has now become more relevant than ever. It remains a challenge for the biggest IT corporations to sell DBMS products that are proven secure against the most clever hackers. As the world witnessed how existing technologies are at constant risk of data breaches, the demand for more secure and better database technologies remains significant.
In a nutshell, database technologies rely on a system where information is taken, stored, organized, and processed to allow users to easily access and retrieve information whenever needed. As information in the digital world expands, the pressure for businesses and organizations to use highly secured database technologies has become substantial.
Today, numerous database management systems have been designed to reduce the threats to database security. These database technologies rely on a specific model as a standard guide for data storage and organization. The most popular DBMS rely on relational and non-relational database models, used for a variety of applications.
Relational Database
A relational database is a unique type of database that stores data and provides related data access points. Data stored in a relational database are represented in tables. Each row and column holds data attributes with a unique ID called a “key,” making it easy to establish relationships between data points.
Relational databases are manageable and accessible through SQL servers that implement Structured Query Language (SQL). Nowadays, SQL server support services and solutions are available for businesses to ensure the proactive management of stored data. Through SQL server service providers, businesses can maintain their productivity and prevent database outages.
Some benefits of investing in relational databases that make it widely accepted include data consistency, atomicity, locking, and concurrency crucial in handling data storage and performance. For businesses considering an RDBMS, it is highly recommended to consider scalability, data accuracy, and reliability requirements depending on the business needs.
Non-relational Database
A non-relational database uses a storage model to handle specific data requirements set by its architect. Unlike relational databases that commonly use SQL, non-relational databases are self-describing. It means that these kinds of databases are more flexible in terms of handling specific data management requirements.
One popular non-relational database is the NoSQL database used for applications requiring horizontal scaling observed in real-time web applications. These applications often contain unstructured data that can be stored in various ways. Hence, if your data requires a unique structure, using a NoSQL database is an ideal choice.
Currently, the popularity of non-relational databases can be attributed to their language flexibility and scalability, allowing organizations to handle increased traffic by simply adding more servers.
Standard and Popular Database Management Systems
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1. MySQL
Released in 1995, MySQL is a relational database management system that has become an essential component of open source web development stacks. This RDBMS supports over 20 platforms, including Mac, Windows, and Linux. It supports large databases that hold millions of information.
2. MariaDB
MariaDB is a popular open-source RDBMS that has a similar basic architecture as MySQL. It also supports large databases, including Google and Wikimedia Foundation. The major difference of MariaDB from MySQL is that it supports more storage engines, and it offers improved performance in many scenarios.
3. MongoDB
Ranked as the most popular NoSQL database, MongoDB is a document database designed to store data similar to JSON objects. It holds various field value types and uses powerful query languages. This DB was only released in 2009, yet it became popular over high-speed and high-performance configuration.
4. Oracle
Oracle database is also ranked by Statista as among the top DBMS worldwide. It is an autonomous database and an all-in-one cloud database solution for various applications. It handles data marts, batch data processing, and data lakes. The most popular users of the Oracle database include Netflix, eBay, and LinkedIn.
The Search for the Best DBMS Continues…
Over the recent decade, we’ve witnessed great improvements in the existing database technologies developed by the biggest software companies. Microsoft Corporation, currently leading the market for database technologies, released a software product (Microsoft SQL server) geared to support numerous applications, including analytics and business intelligence. Oracle and IBM developed other popular database technologies used for numerous applications.
Despite the effort to create high-speed and high-performance DBMS products, the search for better and more suited products to handle specific data continues. This is the case for businesses and organizations relying on high-performance and secure data storage to achieve their objectives. This is important to maximize their business performance and productivity.
With the development of more suitable database technologies, businesses gaining profit from stored data are encouraged to take advantage of existing database solutions.
