{"id":43491,"date":"2024-03-11T07:00:49","date_gmt":"2024-03-11T14:00:49","guid":{"rendered":"https:\/\/dhblog.dream.press\/blog\/?p=43491"},"modified":"2025-05-21T18:51:56","modified_gmt":"2025-05-22T01:51:56","slug":"postgresql-vs-mysql","status":"publish","type":"post","link":"https:\/\/www-dev.dreamhost.com\/blog\/postgresql-vs-mysql\/","title":{"rendered":"PostgreSQL Vs. MySQL: Digging Into Their Differences"},"content":{"rendered":"\n

Relational database management systems (RDBMS) like PostgreSQL and MySQL<\/a> are critical for storing, organizing, and accessing data for applications and analytics. PostgreSQL and MySQL are popular open-source databases with long histories and rich feature sets.<\/p>\n\n\n\n\n\n

\n\t\n\t\t<\/svg>\n\t\t<\/span>\n\t\t<\/svg>\n\t<\/a>\n

Database<\/h3>\n

A database is a collection of information accessible to computers. Databases are used to store information such as customer records, product catalogs, and financial transactions.<\/p>\n \n Read More <\/a>\n\n<\/div>\n\n\n\n

However, PostgreSQL and MySQL differ in their technical architectures and design philosophy. If you\u2019re stuck between picking one database for your application, this guide is for you.<\/p>\n\n\n\n

We dig into the technical, practical, and strategic differences between PostgreSQL and MySQL. Let\u2019s get started.<\/p>\n\n\n\n

A Brief Background On PostgreSQL And MySQL<\/h2>\n\n\n\n

Before diving into the comparisons, let\u2019s briefly introduce PostgreSQL and MySQL.<\/p>\n\n\n\n

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PostgreSQL is an enterprise-level open-source relational database<\/b>. Used by over 45% of the 76,000 respondents in the recent StackOverflow developer survey<\/a>, PostgreSQL overtook MySQL to become the most popular database in 2024.<\/p>\n\n\n\n

PostgreSQL emphasizes standards compliance, extensibility, and proven architectures. The PostgreSQL project began in 1986<\/a> at the University of California, Berkeley, and has developed features focused on reliability, robustness, data integrity, and correctness.<\/p>\n\n\n\n

Postgres employs a five-level system:<\/b><\/p>\n\n\n\n

    \n
  1. Instance (also called cluster)<\/li>\n\n\n\n
  2. Database<\/li>\n\n\n\n
  3. Schema<\/li>\n\n\n\n
  4. Table<\/li>\n\n\n\n
  5. Column<\/li>\n<\/ol>\n\n\n\n

    Here is an example of creating a simple users<\/b> table in PostgreSQL and inserting some rows:<\/p>\n\n\n\n

    CREATE TABLE users (
    \nuser_id SERIAL PRIMARY KEY,
    \nname VARCHAR(50),
    \nemail VARCHAR(100)
    \n);
    \nINSERT INTO users (name, email) VALUES
    \n('John Doe', 'john@email.com'),
    \n('Jane Smith', 'jane@email.com');<\/code><\/p>\n\n\n\n

    MySQL is an open-source RDBMS<\/b> started by the Swedish company MySQL AB in 1995<\/a>, which Oracle later acquired. It has traditionally prioritized speed, simplicity, and ease of use for developing web and embedded applications. MySQL\u2019s design emphasizes quick read and write performance.<\/p>\n\n\n\n

    MySQL employs a four-level system:<\/b><\/p>\n\n\n\n

      \n
    1. Instance<\/li>\n\n\n\n
    2. Database<\/li>\n\n\n\n
    3. Table<\/li>\n\n\n\n
    4. Column<\/li>\n<\/ol>\n\n\n\n

      Here is how you can create the user’s table in MySQL:<\/p>\n\n\n\n

      CREATE TABLE users (
      \nuser_id INT AUTO_INCREMENT PRIMARY KEY,
      \nname VARCHAR(50),
      \nemail VARCHAR(100)
      \n);
      \nINSERT INTO users (name, email) VALUES
      \n('John Doe', 'john@email.com'),
      \n('Jane Smith', 'jane@email.com');<\/code><\/p>\n\n\n\n

      As you may notice, both queries are similar except for the INT AUTO_INCREMENT changing to SERIAL<\/b>. <\/i><\/p>\n\n\n\n

      Fun fact: PostgreSQL supports NASA’s “allballs”<\/a> keyword (meaning “all zeros”) as another way to express the time at midnight (local and UTC):<\/p>\n\n\n\n

      postgres=# SELECT 'allballs'::TIME;
      \ntime
      \n----------
      \n00:00:00
      \n(1 row)<\/code><\/p>\n\n\n\n

      So, how do these two open-source database titans stack up? Let\u2019s explore further.<\/p>\n\n\n\n

      PostgreSQL Vs. MySQL: Performance Comparison<\/h2>\n\n\n\n

      Both PostgreSQL and MySQL are capable of excellent performance, but there isn’t a clear winner between them.<\/p>\n\n\n\n

      If you test read\/write speed, you\u2019ll notice no consistency in how PostgreSQL and MySQL perform. This is because database performance depends heavily on your specific workload type, hardware configuration, database schema and indexes, and especially database configuration tuning. Essentially, the performance depends greatly on your application’s workload and configurations.<\/p>\n\n\n\n

      There are five general categories of workloads:<\/p>\n\n\n\n