DBMS Examples

Today is the time of data, and almost every type of business uses data to drive its operations. A database is required for managing the data, i.e., if a significant amount of data is involved in any field, then the use of a database becomes necessary.

Software that is required to store and manage data is known as DBMS, i.e., Database Management System. It is used by several industries around the globe that use a significant amount of data. There are many examples of DBMS.

In this article, we will discuss examples of DBMS. Here is a list of DBMS examples:

1. Oracle Database

Oracle database is a multi-model DBMS (Database Management System). It was initially released 43 years ago, in 1979. It is written in C, Assembly, and C++ languages. It was developed by Larry Ellison and his friends Ed Oates & Bob Miner at SDL (Software Development Laboratories). It is a powerful database that stores a large amount of data. It organizes structured data or information in the computer system.

2. MySQL Database

MySQL is a type of RDBMS (Relational Database Management System) that is free and open-source. It was initially released 27 years ago, in 1995. It is written in C and C++ languages. It is a database that stores and organizes data in one or more tables. The data or information stored in the MySQL software is relational, meaning the data is related.

It supports many operating systems, such as Windows, Solaris, Linux, macOS, and FreeBSD.

3. PostgreSQL Database

PostgreSQL is an object-relational database management system. It is the most advanced, modern, free, and open-source database. It is also called Postgres. It was initially released 26 years ago, in 1996, and it is written in C. It provides features like consistency, atomicity, triggers, durability, foreign keys, isolation, and more. It supports many operating systems, including Linux, OpenBSD, Windows, macOS, and FreeBSD. It is very popular and reliable, so many new start-ups use PostgreSQL.

4. MongoDB

MongoDB is a type of document-oriented, NoSQL database. It was initially released 13 years ago, in 2009. It is written in Python, C++, and JavaScript. It provides flexibility to the developers to work with evolving data models. It is document-based, allowing arrays, embedded documents, and representing hierarchical relationships using a single record. The keys that are defined in the document are not fixed because it is schema-free. It provides flexibility, native aggregation, etc. Operating systems like Linux, Windows Vista, Solaris, FreeBSD, and macOS X support it.

5. MS Access

MS Access is a type of Database Management System (DBMS), which is software developed by Microsoft. It was initially released 30 years ago, in 1992. It is C++ (back end). It combines a relational database with GUI (Graphical User Interface). With MS Access, you can manage your database to suit the needs of your business. It collects data or information in your computer system. It allows you to enter, access, and analyze data in a way you never could on paper. It uses tables to list things in more detail. The data stored in the form of a table are relevant to each other. MS Access also supports a high-level programming language called Visual basic.

6. Microsoft SQL Server

Microsoft SQL Server is RDBMS that stores data in a systematic manner. Microsoft developed this server. It was initially launched 33 years back, in 1989. It is written in C++ and C languages. It is available in many different languages, such as English, Spanish, Korean, Russian, German, French, and more. The main function of this database is to store and retrieve information or data when requested with the help of other software applications. It supports many applications, from transaction processing to business to analytics in corporate IT environments.

7. Amazon Relational Database Service (RDS)

Amazon Relational Database Service is a type of distributed relational database service (RDS). It was developed and released by Amazon 13 years back, in 2009. It is a web service that runs in the cloud to facilitate database management by automating time-consuming administration tasks. With less operational overhead, you and your team can focus on optimizing the application and getting results faster. It automates many previously cumbersome tasks such as backup, automatic failover, access management, disaster recovery, security, encryption, performance optimization, and monitoring.

8. IBM Db2

IBM Db2 is an abbreviation for IBM Database 2. It was developed by IBM 29 years back, in 1993. It is written in Assembly, C++, C, and Java languages. It supports the relational model, object-relational and non-relational structures. It is fast and secure. It checks authorization every time a user tries to access the database. It is used in small and medium organizations to store, retrieve, and analyze records efficiently. It stores data in Rows and Columns, which are called Tables. It allows users to access, create, update, delete and maintain databases using SQL. It is also known as the next-generation data platform and is mostly used for online banking, data warehousing purposes, and e-commerce. It supports operating systems such as Unix-like, Linux, Windows, and OS/2.

9. SAP Adaptive Server Enterprise

SAP Adaptive Server Enterprise (ASE) is also known as Sybase SQL Server, Sybase ASE, or Sybase DB. It is a type of RDBMS (Relational Database Management System). It was initially released 35 years ago, in 1987. It was developed by Sybase Corporation. SAP ASE is designed to manage all types of transactions. It allows you to build new analytics applications using high volumes of transactional data.

10. IDMS

IDMS is the abbreviation for Integrated Database Management System. It is a type of network database management system for mainframes. It was initially released after 43 years back, in 1973. It was developed by CA Technologies. IDMS is a storage system used to store data and then use the stored data as information for the benefit of an organization. It stores data in the form of a series of files. It provides high performance, reliability, security, scalability, modernization capabilities, etc., and is cost-effective and efficient. It allows users to access the data quickly and easily.

11. DataCom/DB

DataCom/DB is a database that stores and manages relational data. It was initially released 50 years ago, in 1972. It was developed by Computer Information Management Company. It is written in C programming language and assembly language.

12. Teradata

Teradata is a popular RDBMS (Relational Database Management System) that Teradata Corporation developed. It stores, analyze, and maintain data. It provides scalability and a flexible analytical engine. It is built on parallel architecture. Industries with complex data can use Teradata to store information and access the data when needed.

13. SQLite

SQLite is a storage engine used by database management systems to read, create, delete, or update data from a database. It was initially released 22 years back, in 2000. It was designed by D. Richard Hipp. The computer language in which SQLite is written is C programming language. It is a very famous database engine, so many top operating systems, web browsers, mobile phones, and more use it. It is a fast, simple, self-contained, reliable, small, and full-featured database engine.

14. InterBase

InterBase is a type of RDBMS (Relational Database Management System). It was released three years back in December 2019. It was developed by Embarcadero Technologies. It supports various operating systems such as macOS, Solaris, Linux, Android, Microsoft Windows, and iOS. It is a flexible, scalable, self-reliant, efficient, ultrafast, lightweight, high-performance, encryptable, full-featured, and embeddable SQL database. It provides disaster recovery and data protection.

15. Apache CouchDB

Apache CouchDB is a type of document-oriented NoSQL database. It is an open-source database which means that anybody can take benefit of it for free. It was initially launched 17 years back in 2005 and created by Apache Software Foundation. It is a cross-platform database. It is written in C++, C, Erlang and JavaScript. It does not store information in the form of tables rather, and it stores data as independent documents. It has features like ACID semantics, distributed architecture with replication, eventual consistency, HTTP API, and document storage. Many organizations like IBM, Red Cross, CERN, BBC, United Airlines, and others use Apache CouchDB.

16. File Maker

File Maker is a type of relational database management system that lets you build custom applications for your business that work seamlessly across Windows, iPhone, iPad, macOS, and the web. It was initially released 37 years ago, in 1985. It was developed by Claris International Inc. It is an integrated tool that helps you access, create, share, and integrate your custom apps. You can use File Maker to build beautiful custom applications faster and better than any other platform. It offers security, scalability, integration, maintenance & administration, technical support, and more.

17. OrientDB

OrientDB is a document-oriented database, multi-model database, and graph database. It is written in Java language. It is an open-source NoSQL DBMS. It was initially released 12 years ago in 2010 and developed by OrientDB Limited. It is free to use so that anybody can take advantage of it. It supports ACID transactions, quick setup, structured graph models, SQL, multi-master replication, web technologies, etc. It supports a variety of operating systems, such as Windows, OS X, and Linux. It can be deployed in the cloud. It is used in big data, banking, debt management software, fraud prevention, social networking, etc.

18. Toad

Toad is a type of database management tool that manages relational and non-relational data. It is a well-established product with unmatched functionality, fosters collaboration, supports a wide range of database platforms, and provides a high return on investment. It can be deployed in the cloud. It is a great tool for data analysts, database developers, and administrators. It supports various platforms like DB2, Oracle, MySQL, Amazon Redshift, PostgreSQL, SAP Solutions, MongoDB, Cassandra, etc.

19. MariaDB

MariaDB is a type of RDBMS, i.e., a Relational Database Management System developed by MariaDB Foundation and MariaDB Corporation Ab. It was initially released 13 years back, in 2009. It is written in Bash, C++, C, and Perl. It is an open-source relational database, so it is free to use. It supports various operating systems like macOS, Windows, and Linux.

20. Apache Cassandra

Apache Cassandra is a type of NoSQL database, which is a free and open-source database. It is designed to run applications anywhere. It is a powerful NoSQL database to solve real-world problems at scale. It can handle large amounts of data easily. It is used for storing and managing a big amount of data. It is a transactional database. It was initially launched 14 years back in 2008 and created by Apache Software Foundation. It supports a fully typed schema with tables, rows, and columns. It is highly robust as it has masterless replication. It is popular because developers can scale their databases dynamically. It has features like linear scalability, tunable consistency, fault-tolerance, distributed, eventual consistency, MapReduce support, etc.

21. InterSystems Cache

InterSystems Cache is a type of application development and database management system. It was initially released 25 years ago in 1997 and developed by Intersystems. It supports multiple operating systems. Developers use it to develop applications for banking, government, healthcare management, and more. It is used to store information in multidimensional arrays. It is a high-performance database that provides advanced database technology. It removes complexity and is fast, scalable, and easy to manage. As a data platform, it supports multiple data models such as tables, documents, and objects. It provides several capabilities that help you build applications.

22. Versant Object Database

Versant Object Database is a type of object database software. It was developed by Versant Corporation. It stores data in the form of transactions using object-oriented languages. It provides agile development, operational efficiency, high performance, and scalability. It simplifies application development. It is one of the biggest companies that use NoSQL to handle large amounts of data. It supports C++, Java, C#, and Python languages. It provides:

• Seamless database distribution.
• End-to-end object architecture.
• Low administration.
• Dynamic schema evolution.
• Fine-grained concurrency control.
• Multithreading.
• High enterprise-class availability.

23. Ingres (Database)

Ingres is a type of Relation Database Management System (RDMS). Actian Corporation developed the Ingres database. It is written in C programming language. It is a transactional database. It provides features like auto stats, data protection, semi-structured data, key OLTP features, monitoring database system health, containerization, and geospatial.

24. 4D

4D is also known as the Silver Surfer or 4th Dimension. It is a type of relational database management system. It was first screened 38 years ago, in 1984. It was designed by Laurent Ribardière. It is written in C and C++. It supports cross-platform, which means it can run on different platforms such as macOS, Web, Windows, and Mobile. It is robust, scalable, affordable, and provides high performance. Companies that use 4D for their business are ABC-CLIO, Accor Services, Alce Producciones, Alutech United, Inc., ivantagehealth, Sweetwater, etc.

25. Neo4j

Neo4j is a type of graph database management system. It was initially launched 15 years back in 2007 and developed by Neo4j. It is written in Java language. It is an ACID-compliant transactional database. It stores data in graphs. It is easy to store, access, or retrieve data efficiently. As it offers scalability and high performance, it is the top choice for data scientists and developers looking to manage graphical data. It is a reliable, secure, and high-speed graph database. Many companies use the Neo4j database, such as AT&T, Comcast, Verizon, etc.

26. Redis

Redis is an abbreviation for Remote Dictionary Server. It is a type of data structure store and key-value database. It is written in C programming language. It is a free & open-source NoSQL database that stores data and easily retrieves data when needed. It supports abstract data structures like Maps, Strings, Streams, Bitmaps, etc. It provides extensibility, programmability, persistence, high availability, clustering, etc. It supports Unix-like operating systems.

Conclusion:

In this article, you read several examples of database management systems. We have discussed DBMS examples where some databases store relational data, some store non-relational data, some store key-value data, some store graphical data, some store document-oriented data, some store object-oriented data, and some store more than one type of data.

Anyone running a small or large business can use a database to store, access, update, retrieve, and manage data. Industries with large amounts of data can store data securely and efficiently by using any DBMS software as per their requirements.