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Dig into the ultimate PostgreSQL vs. MySQL guide and take a look at all the elements that make the two databases unique and different.
MySQL and PostgreSQL are two of the most popular DBMSs on the planet, with more than 60% market share in the realm of relational databases. Even though they offer similar functionality and can be used interchangeably in most small or simple projects, there is a difference between PostgreSQL and MySQL.
In this PostgreSQL vs MySQL comparison article, you will learn more about the two databases, digging into their history and understating their similar and different aspects.
What Are PostgreSQL and MySQL?
PostgreSQL, often referred to as “Postgres,” is an open-source object-relational database management system (ORDBMS) known for its robustness, scalability, and wide range of features. It adheres closely to the ANSI SQL standard.
MySQL is an open-source relational database system (RDBMS) popular for its ease of use, speed, and flexibility. It has historically focused on simplicity and performance over strict adherence to standards but has recently made efforts to improve standards compliance.
History of PostgreSQL and MySQL Databases
The history of relational databases began in 1973 with Ingres, one of the first RDBMSs. It was released by UC Berkeley as open-source software under the BSD license and served as the basis for many commercial database products.
In 1986, one of the original Ingres developers returned to Berkeley and started working on a successor to that database technology, called Postgres. The name was eventually changed to PostgreSQL to make it easier to associate with SQL. PostgreSQL 6.0, the first production release, came out in 1997. As stated on the official site, the project is currently developed by an “unincorporated association of volunteers and companies who share code under the PostgreSQL License.”
PostgreSQL was just one of many databases developed in the 1990s. In 1994, in Sweden, Michael “Monty” Widenius and his collaborators began work on a new relational database management system. They decided to call it MySQL.
Unlike PostgreSQL, MySQL has always been under corporate control. MySQL AB, the original company behind the project, was acquired by Sun Microsystems in 2008, and shortly thereafter Sun was acquired by Oracle in 2010. In response to the Oracle acquisition, Widenius forked MySQL and founded MariaDB Corp. But that is a story for another article. MySQL is currently released under both GPLv2 and proprietary licenses.
PostgreSQL vs MySQL: Top Similarities
Here are some of some important similarities between PostgreSQL and MySQL to take into account:
PostgreSQL vs MySQL: Key Differences
Although the two databases have many similarities, they also have some features that set them apart. Understanding their distinctive aspects is critical to choosing the right database for your specific requirements.
Specifically, the difference between PostgreSQL and MySQL boils down to ten main elements. Let's see them all!
1. Number of data types available
MySQL is a purely relational database, while PostgreSQL is an object-relational database. The consequence is that the latter allows data to be stored as objects with properties, supporting concepts such as parent-child relationships and inheritance. As a result, PostgreSQL offers many more data types, such as array, hstore, XML, and JSONB.
2. Auto-incremental column management
MySQL automatically generates unique integer values for a column when it is marked as AUTO_INCREMENT. This keyword is generally specified on primary keys. PostgreSQL does not support AUTO_INCREMENT. Instead, it offers similar functionality through the sequence data type.
3. MVCC implementation
PostgreSQL always supports MVCC (Multiversion Concurrency Control), a mechanism that allows simultaneous read and write operations without compromising data integrity. This allows multiple users to read and modify the same data securely and simultaneously. In contrast, MySQL implements MVCC only with InnoDB and with a different approach than Postgres.
4. Type of indexes supported
MySQL supports B-tree, R-tree, expression, and hash indexes. PostgreSQL offers a wider range of index types, including GiST, SP-GiST, GIN, BRIN, and partial indexes. This results in greater flexibility to meet scalability and performance needs.
5. Full-text search capabilities
Out of the box, PostgreSQL provides robust and advanced full-text search capabilities. It equips developers with advanced features, such as ranking, stemming, phrase matching, and search result highlighting. MySQL also has full-text search functionality, but it is not as feature-rich as the PostgreSQL implementation.
6. Transactional DDL
PostgreSQL supports transactional DDL (Data Definition Language) operations, such as CREATE, ALTER, and DROP statements. This means that schema-altering operations can be included within a transaction block and rolled back if required. In MySQL, DDL statements are typically not transactional. Thus, when an error occurs during a schema-altering operation, it cannot be rolled back.
7. ACID compliance
ACID (Atomicity, Consistency, Isolation, Durability) ensures database integrity even in the presence of unexpected errors. MySQL guarantees full ACID compliance only with the InnoDB or NDB Cluster storage engines, while PostgreSQL is fully ACID compliant in all configurations. Learn more in our in-depth guide on ACID in database systems.
8. Support for materialized views
SQL views are special tables populated on the fly by a query that selects data from one or more tables. Both MySQL and PostgreSQL support them. However, only PostgreSQL offers materialized views. These persistent views store values from the generation query on the file system, enabling better performance in complex operations.
9. Languages available for writing stored procedures
In SQL, stored procedures are custom functions that can be reused for efficient data manipulation. Both DBMSs support them, but PostgreSQL surpasses MySQL by allowing stored procedures to be written in PL/pgSQL, PL/Tcl, PL/Perl, and PL/Python in addition to SQL.
10. Type of triggers available
SQL triggers are operations that automatically execute when specific events occur in the database. MySQL only supports AFTER and BEFORE triggers for INSERT, UPDATE, and DELETE statements. Instead, PostgreSQL also provides the INSTEAD OF trigger to perform actions on views.
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Which to Choose Between PostgreSQL and MySQL
When choosing between PostgreSQL and MySQL, you should take into account the following factors.
Application use case
PostgreSQL is ideal for enterprise applications that need to perform advanced queries and frequent writes while maintaining data integrity. It excels in handling complex data and offers strong concurrency control. MySQL is instead well-suited for simpler use cases and prioritizes efficient reads over complex data manipulation.
Development expertise
PostgreSQL has a steeper learning curve because of the many advanced features it offers. Getting the most out of them takes time and effort, making it a more complex technology to learn. On the contrary, MySQL is considered more beginner-friendly and easier to learn. It prioritizes simplicity and ease of use, making it more accessible for beginners.
Performance requirements
PostgreSQL tends to perform faster in concurrent write operations as it does not use read/write locks. On the other hand, MySQL relies on write locks, which reduces the number of concurrent activities per process. Yet, it tends to show better results in read-intensive processes. Since most applications primarily read data from the database, this is huge.
At the same time, PostgreSQL vs MySQL performance can be influenced by various factors. These include hardware configuration, database schema design, query optimization, specific use case, data volume, and workload patterns.
In short, PostgreSQL tends to win in complex queries and write-intensive scenarios, while MySQL is usually the better option for simple queries and read-intensive scenarios.
PostgreSQL vs MySQL: Summary Table
| PostgreSQL | MySQL | |
|---|---|---|
| Also known as | Postgres | — |
| Pronunciation | post·gress·queue·ell (IPA: /pˈo͡ʊstɡɚɹˌɛskjˌuːˈɛl/) | my·ess·queue·ell (IPA: /ma͡ɪˌɛskjˌuːˈɛl/) |
| Type of DBMS | ORDBMS | RDBMS |
| License | Open-source through PostgreSQL License | Open source with GPLv2 license or proprietary |
| Implementation programming language | C | C/C++ |
| ANSI SQL compliance | Yes | Partially |
| Built-in GUI client | PgAdmin | MySQL Workbench |
| Main focus | Rich features | Simplicity of use |
| ACID | Yes | Yes on InnoDB, not fully otherwise |
| Storage engines | Single storage engine | Multiple storage engines (InnoDB, MyISAM, MEMORY, CSV, and more) |
| Data types | Support many advanced types such as array, hstore, boolean, and user-defined type. | Only SQL-standard types |
| Auto increment Column | Through the SERIAL data type | Through the AUTO_INCREMENT column attribute |
| Full-text search | Yes | Yes, but with limited functionality |
| Transactional DDL | Yes | No |
| Materialized views | Yes | No |
| Table inheritance | Yes | No |
| Programming languages for stored procedures | PL/pgSQL, PL/Tcl, PL/Perl, and PL/Python, SQL, and more | SQL |
| GiST, SP-GiST, GIN, BRIN, and partial indexes | Yes | No |
| Trigger actions | AFTER, BEFORE, INSTEAD OF | AFTER and BEFORE |
| Performance focus | Write operations and complex queries | Read operations and simple queries |
Conclusion
In this comparison guide, we jumped into PostgreSQL and MySQL. Although the two most popular relational databases on the market have comparable capabilities, they have some key differences. Here you had the opportunity to explore them and figure out which one is best for your needs.
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FAQ
Do PostgreSQL and MySQL handle JSON and other semi-structured data formats?
Yes, both have built-in support for handling JSON and other semi-structured data formats. They provide data types specifically designed for storing and manipulating JSON data, but PostgreSQL offers more extensive functionality for working with semi-structured data.
Which between PostgreSQL and MySQL is the most popular?
At the time of writing, MySQL is considered the most widely used open-source relational database management system, with a larger market share and greater popularity among users than PostgreSQL.
Which would win a PostgreSQL vs MySQL performance comparison?
PostgreSQL excels in write-intensive scenarios, while MySQL tends to perform better in read-intensive processes. The winner in the performance comparison would vary based on the specific requirements and characteristics of the application.
Which companies use PostgreSQL instead of MySQL?
Although large companies tend to use different databases for specific products, it is public knowledge that Apple, Twitch, Sony, Cisco, Reddit, Instagram, Spotify, Skype, and the New York Times use PostgreSQL. In contrast, Facebook, Twitter, Airbnb, Uber, Netflix, and YouTube prefer MySQL.
Which one between MySQL and PostgreSQL gets more releases?
On average, MySQL receives a minor release every 3 months and a major release every 6/7 years. PostgreSQL gets a minor release per month and a major release per year.
