by Jeremy H • July 20, 2020
Although the differences between PostgreSQL vs. MySQL lessen with each passing year, both database systems continue to offer distinct advantages for different use cases. In this guide, we’ll take a detailed look at the characteristics of PostgreSQL vs. MySQL – and why you might choose one DBMS over the other.
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Use this quick comparison of PostgreSQL vs. MySQL to get a sense of their differences:
It’s also important to note the similarities between PostgreSQL vs. MySQL which are growing with each subsequent release. For example, MySQL now offers certain features that were once unique to PostgreSQL such as:
Similarly, PostgreSQL offers specific features that were formerly unique to MySQL such as:
Now, let’s look at both database systems in more detail.
PostgreSQL is a highly-extensible database management system that offers more features than MySQL and other DBMSs. As an object-relational database management system (ORDBMS), PostgreSQL has native NoSQL support for JSON, XML, key-value pairs with HSTORE, and it allows indexing of JSON data for faster access. This makes PostgreSQL a popular choice when dealing with data that doesn’t fit into a relational format.
Compared to MySQL, PostgreSQL is better at processing complex, high-volume operations, and managing unusual database scenarios. Due to its catalog-driven operation, PostgreSQL allows you to define your own data types, functional languages, and index types – so you’re not limited to storing information in tables and columns. PostgreSQL also includes advanced MVCC capabilities that allow for greater efficiency when processing concurrent read-write operations.
Here’s a complete overview of the features and characteristics of PostgreSQL:
One of the most common ways users interact with a PostgreSQL database is through the free PostgreSQL administration tool, pgAdmin. Here’s how it looks:
Here’s how one user summarizes PostgreSQL on G2Crowd:
“PostgreSQL is one of the most stable and functionally rich open-source RDBMS. It performs really well while implementing complex queries. It is also convenient to shift your database architecture into PostgreSQL. Because of its ubiquity, you can find solutions to any issue you might face in the online community. PostgreSQL is offering an amazing amount of functionality for any database, let alone an open-source project. And in almost every case, the current functionality is just the first part of a long-term roadmap that the developers will continue to follow…”
“The business problem that I am solving with PostgreSQL was to query data for further processing. I was working on generating intelligent reports with data from an Alfresco Architecture whose data resided in a PostgreSQL database. The benefits I observed were, it was free to use and the queries functioned perfectly.”
MySQL is a relational database management system (RDBMS) with a reputation for speed, reliability, and general-purpose functionality. It is also the most popular database in the world and the most common database used for dynamic websites and web applications.
According to ScaleGrid, 39% of developers are currently using MySQL for their projects, making it the most popular DBMS in the world. This popularity is largely due to several factors: (1) MySQL is easy to use and learn compared to other DBMS systems; (2) some of the largest content management platforms on the internet — like WordPress, Joomla, and Drupal — use MySQL for data management; (3) many cloud-service providers offer free or inexpensive MySQL hosting as well; and (4) it represents the “M” in LAMP stack (Linux, Apache HTTP Server, MySQL, PHP), so it’s readily available to web app developers.
Here’s a complete overview of the features and characteristics of MySQL:
Most users interact with their MySQL databases with the free, visual interface called WorkBench. Here’s how it looks:
Here’s how one user summarizes MySQL on G2Crowd:
“It is a totally free database manager that can be used by anyone who wants it, has a huge community where we can easily clarify any questions that arise, the line of learning is very versatile, and also it’s intuitive to the development of the databases we are designing. It is ideal for medium complex processes since the data processing within these databases is incredibly fast with respect to others. It also has a very useful viewer when it comes to locating the errors that have arisen in the data stored in the database of data …”
“With MySQL, I have developed and managed the databases of the different industrial processes that the company has had to carry, basically because of how simple it is and because of the security it guarantees us, in addition to having such a large community that quickly helps us solve any problems we have. Since using it, I have not had any problem with it, nor hang-ups inside the database, nor poorly executed processes between stored data.”
Asking the following questions will help you decide between PostgreSQL vs. MySQL :
As a hybrid “object-relational database management system,” PostgreSQL supports object-oriented programming and relational programming at the same time. PostgreSQL lets you define objects and table inheritance, which helps efficiently manage complex data structures.
PostgreSQL also offers the widest range of native NoSQL support for data types like JSON, XML, Hstore. It lets you define custom data types and functions as well. MySQL supports JSON only. If you plan to use other NoSQL formats, PostgreSQL is a better choice.
PostgreSQL is ideal for complex read-write operations, especially when data needs validation. Meanwhile, the simplicity of MySQL allows it to process massive numbers of read-only queries faster and more reliably than PostgreSQL. By removing certain SQL features, MySQL stays light to prioritize the speed of concurrent, read-only functions.
There’s no limit to the size of your PostgreSQL databases. This DBMS can efficiently manage large data volume stores and complex queries on large databases. For example, this database administrator says that his company is managing “200k to 500k events per second across around 100 database servers, 500 PostgreSQL instances, and around 500 databases,” and the individual databases are several terabytes to 20 terabytes in size.
MySQL works better with smaller-size databases. According to 365DataScience, “MySQL works more efficiently for small, cloud-based applications and systems, while PostgreSQL is more effective for companies working with big data and complex queries.”
MySQL is an excellent choice when you want the flexibility to use different data storage engines. The flexibility of “pluggable” data engines lets you incorporate data from the widest variety of tables. MySQL is currently compatible with InnoDB, MyISAM, Memory, CSV, Archive, Blackhole, NDB/NDBCLUSTER, Merge, Federated, and Example. PostgreSQL is only compatible with its native ACID/MVCC engine.
PostgreSQL was the first DBMS to offer native concurrent processing through multi-version concurrency control (MVCC), which makes it the de facto choice when multiple readers/writers are interacting with a large-scale database concurrently.
MySQL also offers MVCC when paired with its default storage engine InnoDB. Therefore, choosing between these MVCC-capable database systems largely depends on the context. According to Ken Ejima on Hackermoon, “MySQL works best for online transactions, and PostgreSQL works best for append-only, analytical processes such as data warehousing.”
ACID compliance was built into PostgreSQL from the beginning, making it an excellent choice for those who need to prevent data corruption at the transaction level. MySQL is ACID-compliant as well, but only with its default storage engine, InnoDB, and the storage engine, NDB Cluster. InnoDB includes commit, rollback, and crash-recovery features for data protection.
Since MySQL is the most popular database system in the word, it’s easier to find database administrators with MySQL experience. Plus, learning MySQL from scratch is easier than PostgreSQL – especially because of MySQL’s extensive documentation and tutorials.
At the end of the day, PostgreSQL is usually the best choice when you want a feature-rich, extensible database that efficiently manages complex read-write operations on large datasets. On the other hand, MySQL is better for cloud and web-based applications, smaller datasets, and high-speed read-only queries.
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