It allows several methods to interface and accesses the database, including APIs, FireDAC drivers, ODBC, JDBC, PHP, Perl, and Python module.Firebird comes with in-built support for stored procedures and triggers, ACID-compliant transactions, and referential integrity alongside external functions UDFs.According to many, it tops the most recent Linux database management systems in terms of performance and flexibility. Since then, Firebird has been enjoying massive popularity among open-source developers. The last stable release came out last year and has been largely rewritten. The project was initially forked from Borland’s open source edition of InterBase back in 2000. It is an open source database management system based on the relational data model. The querying features include but are not restricted to transactions, views, sub-selects, regular expressions, SSL, TSL, two-phase commits, embedded SQL, and others.įirebird is one of the most exciting database management systems for Linux maniacs.PostgreSQL has excessive support for interfaces, including interfaces for C++, JDBC, Perl DBI, Julia, ODBC, Node.js, Tcl, and Python.This open source database management system has in-built support for expression indexes, partial indexes, data replication, clustering, table inheritance, and many more.PostgreSQL allows users to define their own data types, casts, conversions, domains, indexes, operators, and procedures.PostgreSQL is used in many large-scale applications where a wide range of workloads needs to be handled due to its empowering features. It is an open source database management system that leverages the relational database model and heavily emphasizes extensibility, superior performance, and ease of use. PostgreSQL is one of the most powerful database management systems for Linux that has a widespread application in several kinds of projects. MongoDB integrates very well with third-party services and provides robust APIs that enable the triggering of serverless functions.MongoDB’s flexible deployment and seamless migration abilities allow web app developers to run their applications anywhere they want.This open source database management provides the ability to deploy the database directly in the cloud through MongoDB Atlas.MongoDB offers various methods to manage the database, including a command shell, a GUI called MongoDB Compass and a management platform known as Ops manager.Notable users of this relational database management system include the US Navy, NASA, Sony, Uber, Netflix, Youtube, and Facebook.
It has been acquired by Oracle and now provides paid functionalities for enterprises looking for high-performing, flexible, and scalable database management solutions. It has enjoyed massive success since its inception in 1995 and emerged as the de-facto open source database management system. MySQL is undoubtedly one of the most popular and widely used database management systems for Linux users.
It supports up to two times faster data replication than conventional database management systems for Linux and is backward compatible with MySQL servers.MariaDB is developed using a set of notable programming languages that include C, C++, Perl, and the Bash command-line shell.MariaDB is maintained quite well and releases new features and updates very regularly. It is an open source database management system developed by community members and is a fork of the popular MySQL database. It offers a huge list of powerful yet flexible features, making it a suitable choice for developing cutting-edge web applications. MariaDB is one of the best Linux database management systems to emerge in recent times. Oracle Database supports data reduction, hybrid columnar compression, cluster file system, native sharding, and cloud service.The 18c release of this DBMS comes with in-built support for polymorphic table functions and active directory integration.Oracle Database comes with exceptional data guard features such as allowing just read-only access, offloading redo transport, and managing workload across replicated databases, to say a few.It features a SQL-based relational database model and supports features like data distribution, concurrency control, client-server computing, parallel SQL execution, alongside many more.
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