Comprehensive Introduction to MariaDB

Simple syntax and mild complexity. MySQL’s structure and style are very plain. Developers even consider MySQL a database with a human-like language. MySQL is often used in tandem with the PHP programming language. Because they share a gentle learning curve, it’s much easier to form a team to manage your database. Also, MySQL is easy to use. For instance, most of the tasks can be executed right in the command line, reducing development steps.

Cloud compatibility. Business-oriented by nature and originally developed for the web, MySQL is supported by the most popular cloud providers. It’s available on such leading platforms as Amazon, Microsoft, and others. This makes MySQL even more attractive and gives businesses room for growth.

Rich documentation and community assistance. With Microsoft SQL Server aimed at comprehensive database maintenance, the full online documentation also reflects this concept. The consequently structured guidelines, numerous whitepapers, and demos give a full picture of the MSSQL data system. Also, Microsoft Premier provides access to dedicated Microsoft community support, which is an advantage when a DB engineer needs assistance.

Cloud database support. Being a part of the consistent Microsoft ecosystem, MSSQL can be integrated with Microsoft cloud, Azure SQL Database, or SQL Server on Azure Virtual Machines. The solutions allow shifting database administration to the cloud if your business software database becomes really overwhelming and hard to administer.

Support for custom data types. PostgreSQL natively supports a large number of data types by default, such as JSON, XML, and H-Store. The feature makes PostgreSQL one of the few relational databases with strong support for NoSQL features. Additionally, it allows users to define their custom data types. As your software business model may need different types of databases throughout its existence for better performance or application comprehensiveness, this option brings improved flexibility to the table.

Easily-integrated third-party tools. PostgreSQL database management system has the strong support of additional tools, both free and commercial. The scope of these includes extensions to improve many aspects. For example, ClusterControl provides impressive assistance at managing, monitoring, and scaling SQL and NoSQL open-source databases. To make data comparison and synchronization more effective, consider using DB Data Difftective. In case you’re going to scale up your data to heavy workloads, the pgBackRest backup and restore system will be a nice option to choose.

Open-source and community-driven support. PostgreSQL is completely open-source and supported by its community, which strengthens it as a complete ecosystem. Additionally, developers can always expect free and prompt community assistance.

Broad functionality. MariaDB has introduced a lot of new features in the last few years. For instance, GIS support suggests smooth coordinate storage and location data queries. Dynamic columns allow a single DBMS to provide both SQL and NoSQL data handling for different needs. You also can extend its functionality with plugins that are available at MySQL via 3rd parties only. MariaDB is shipped with storage engines for NoSQL backend, legacy databases migration tools, sharding options, and many more.

High performance. Although MariaDB originates from the MySQL engine, it got very far in terms of performance. Extensive optimization features improve thread pool management and data processing. Thus, when rows from the table are deleted, the operating system immediately accesses the free space, eliminating gaps in the tablespace. On top of that, the database management system suggests engine-independent table statistics. This feature enhances the optimizer’s performance, accelerates query processing, and helps customize data analysis.

Strong tech support and documentation. Oracle ensures decent customer support and provides comprehensive tech documentation across multiple resources. So, you’ll likely find solutions to any issues that appear. You may also expect some community support.

Large capacity. Oracle’s multi-model solution allows for accommodating and processing a vast amount of data. Thanks to the recently released multi-tenancy feature, the database architecture now simplifies packing many databases and manages them smoothly. In combination with in-memory data processing capabilities, it creates a strong engine for synchronous data processing.