The Most Popular Commercial DBMS, Ranked

Choose the commercial DBMS you think is the most popular!

Author: Gregor Krambs
Updated on Jul 8, 2024 06:45
As businesses grow and data becomes increasingly complex, choosing the right Database Management System (DBMS) is crucial for ensuring efficient data handling and scalability. Each DBMS offers unique features and tools, making it challenging to pinpoint which is best suited for specific business needs. A ranked list of popular commercial DBMSs can be a valuable resource, helping organizations identify which systems are preferred by peers and why. This live ranking is shaped directly by your contributions. By voting for your preferred DBMS, you help paint a clearer picture of which systems excel in real-world applications. Whether you're a seasoned database administrator or just starting out, your input is vital. Every vote can help guide others in making informed decisions about which DBMS might be the right fit for their data management requirements.

What Is the Most Popular Commercial DBMS?

  1. 1
    49
    points
    Oracle Database

    Oracle Database

    A multi-model database management system primarily designed for enterprise grid computing.
    • Developer: Oracle Corporation
    • Initial Release: 1979
  2. 2
    28
    points

    Microsoft SQL Server

    A relational database management system developed by Microsoft.
    • Developer: Microsoft
    • Initial Release: 1989
  3. 3
    21
    points

    PostgreSQL

    An open-source object-relational database system that uses and extends the SQL language.
    • Developer: PostgreSQL Global Development Group
    • Initial Release: 1996
  4. 4
    19
    points

    MySQL

    An open-source relational database management system based on SQL.
    • Developer: Oracle Corporation
    • Initial Release: 1995
  5. 5
    9
    points
    SQLite

    SQLite

    A C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.
    • Developer: D. Richard Hipp
    • Initial Release: 2000
  6. 6
    1
    points

    MongoDB

    A source-available cross-platform document-oriented database program.
    • Developer: MongoDB Inc.
    • Initial Release: 2009
  7. 7
    0
    points

    Amazon Aurora

    A MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
    • Developer: Amazon Web Services
    • Initial Release: 2014
  8. 8
    0
    points
    Redis

    Redis

    An in-memory data structure project implementing a distributed, in-memory key–value database with optional durability.
    • Developer: Redis Ltd.
    • Initial Release: 2009
  9. 9
    0
    points
    MariaDB

    MariaDB

    A community-developed, commercially supported fork of the MySQL relational database management system.
    • Developer: MariaDB Corporation Ab, MariaDB Foundation
    • Initial Release: 2009
  10. 10
    0
    points
    IBM Db2

    IBM Db2

    A family of data management products, including database servers, developed by IBM.
    • Developer: IBM
    • Initial Release: 1983

Missing your favorite commercial DBMS?

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About this ranking

This is a community-based ranking of the most popular commercial DBMS. We do our best to provide fair voting, but it is not intended to be exhaustive. So if you notice something or commercial DBMS is missing, feel free to help improve the ranking!

Statistics

  • 2716 views
  • 127 votes
  • 10 ranked items

Movers & Shakers

Voting Rules

A participant may cast an up or down vote for each commercial DBMS once every 24 hours. The rank of each commercial DBMS is then calculated from the weighted sum of all up and down votes.

Additional Information

More about the Most Popular Commercial DBMS

Oracle Database
Rank #1 for the most popular commercial DBMS: Oracle Database (Source)
Database Management Systems (DBMS) store, manage, and retrieve data for various applications. They are vital in many industries, from finance to healthcare. A DBMS ensures data integrity, security, and efficiency. It helps organizations handle large volumes of data with ease.

The history of DBMS dates back to the 1960s. Early systems were hierarchical and network models. These models had limitations in flexibility and efficiency. The 1970s saw the rise of the relational model. This model, based on mathematical theory, revolutionized data management. It allowed for more flexible and powerful data handling.

A DBMS consists of several key components. The database engine is the core. It handles data storage, retrieval, and updates. The query processor interprets and executes database queries. The transaction manager ensures data consistency and handles concurrent access. The storage manager manages the physical storage of data on disk.

DBMS offer many benefits. They improve data sharing and security. Users can access data simultaneously without conflicts. They also provide backup and recovery options. This ensures data is not lost in case of failure. DBMS can handle large amounts of data efficiently. They optimize storage and retrieval processes.

Modern DBMS support various data models. The relational model remains popular. It uses tables to represent data. Each table consists of rows and columns. Rows represent records, and columns represent attributes. The relational model supports SQL, a powerful query language.

Object-oriented DBMS emerged in the 1980s. They store data as objects, similar to programming languages. This model is useful for applications requiring complex data representations. NoSQL DBMS gained popularity in recent years. They handle unstructured data, such as documents and social media posts. NoSQL systems offer flexibility and scalability.

DBMS can be deployed on-premises or in the cloud. On-premises deployment gives organizations full control over their data. However, it requires significant investment in hardware and maintenance. Cloud-based DBMS offer scalability and reduced overhead. They allow organizations to pay for what they use. Many businesses prefer cloud solutions for their flexibility and cost-effectiveness.

Choosing the right DBMS depends on several factors. Consider the type and volume of data. Evaluate the complexity of queries and transactions. Assess the required level of security and compliance. Performance and scalability are also important. Organizations should choose a DBMS that meets their specific needs.

DBMS vendors offer various features and pricing models. Some provide open-source solutions. These are often free and community-supported. Others offer proprietary systems with advanced features and support. Organizations should weigh the pros and cons of each option.

In conclusion, DBMS play a crucial role in data management. They provide efficient, secure, and scalable solutions for handling data. With various models and deployment options, organizations can choose the best fit for their needs. As data continues to grow, the importance of DBMS will only increase.

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