![]() MySQL also supports a variety of storage engines, allowing developers to choose the one that best suits their application's needs. This combination allows developers to quickly build web applications that can interact with databases. It is typically used in combination with a web scriptings language such as PHP, Perl, or Python. It is designed for scalability and can handle enormous datasets with ease. It is one of the most popular database systems used in web applications and online services, powering some of the most widely used websites and applications on the internet. ![]() MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) to add, access, and manage data. Many organizations, including banks, universities, and government agencies, use Postgres as it is an excellent choice for a wide range of applications and is sure to continue to be a popular choice for years to come. It is also highly extensible and can be easily customized to fit specific needs offering a wide range of additional attributes such as replication, and clustering. This database supports a wide range of programming languages, including C, C++, Java, PHP, Perl, Python, and more giving flexibility to its users. It is the most advanced open-source database available, with a wide range of features including triggers, rules, stored procedures, and more. Postgres is an open-source object-relational database system popularly known as Postgres, a powerful database management system designed to handle a range of workloads from single machines to large web-facing applications. We will also talk about their features and how they can be used in different scenarios. We will examine their advantages and disadvantages, and how they work. (that is, 70 number positions)įor both MySQL and Postgres, NUMERIC is an alias for the DECIMAL type. In this article, we will be looking at and discussing the differences between the two most popular open-source relational databases: MySQL vs Postgres. The DECIMAL type in MySQL is equivalent to DECIMAL in postgres, except that in postgres, the type does not impose an arbtrary limit on the precision, whereas in MySQL the maximum precision is (i believe) 70. The FLOAT type in MySQL should be equivalent to REAL in postgres (and REAL in SQLite too) (but indeed MySQL's BLOB types also map to that) I think the MySQL VARBINARY data type is best comparable to PG's BYTEA datatype. The BIT datatypes in MySQL and PG have roughly the same semantics, but in MySQL the maximum length of the BIT data type is 64 (bits) In SQLite, VARCHAR and CHAR map both to TEXT The actual length specifier is expressed in the number of characters, so if you have a multi-byte character set, you have to divide the maximum lenght by the maximum number of characters to get the theoretical maximum length specified for that characterset. In MySQL these types can have a maximum of a little less than 64kb, in pg 1Gb (bytes). Semantically, VARCHAR in MySQL and PG, and CHAR in MySQL and PG are the same, but in MySQL these types have a much shorter maximum length. I am missing INTEGER (alias INT) for MySQL. Postgres also has a BIGSERIAL type, which is the same as SERIAL but with a BIGINT type instead of an INT type. In postgres, the SERIAL datatype results in an INTEGER column, and this will about the same as MySQL's INTEGER PRIMARY KEY AUTO_INCREMENT This is roughly equivalent to BIGINT PRIMARY KEY AUTO_INCREMENT So apps may or may not be portable - at least it is no drop in replacement.įinally, for the last line in your tabl I think the SQLite phrase should read: INTEGER PRIMARY KEY AUTOINCREMENT It looks like the pg BOOLEAN type uses string literal notation. In MySQL, TRUE and FALSE map to 1 and 0 integer values. You may or may not be able to port apps depending on what they use as boolean literals. The MySQL BOOLEAN (alias BOOL, alias TINYINT(1) ) is not compatible with the pg boolean type. I would avoid it, but otherwise map it to INTEGER too. MEDIUMINT in MySQL is an odd duck (3 bytes). MySQL PostgreSQL SQLiteĬolumnname INT columnname SERIAL INTEGER PRIMARY ![]() Here is what I have so far, but I'm afraid it's not done and I need some people with more experience to help me finish any missing types. I am trying to find some way to relate column types across the the most used Databases: MySQL, PostgreSQL, and SQLite. ![]()
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