PostgreSQL or MySQL: What Should I Choose for My Full-Stack Project?

Choosing the right database is a pivotal decision for full-stack developers, impacting everything from application performance to scalability. PostgreSQL and MySQL stand out as two of the most popular open-source relational database management systems. Each brings its own set of strengths to the table, tailored to different development needs. Let's explore these differences, dive into installation on Linux, and discuss security and backup strategies, to help you make an informed decision for your next project.

Transactional Support and ACID Compliance

PostgreSQL and MySQL both support the ACID (Atomicity, Consistency, Isolation, Durability) principles, crucial for reliable transaction management. PostgreSQL is celebrated for its robust support for complex transactions and strict ACID compliance. It's especially suited for applications that demand reliable transactions, such as financial or medical records management. MySQL, with its InnoDB storage engine, offers strong ACID compliance as well, but its default transaction isolation level is "Repeatable Read," balancing performance and consistency.

Consider these transaction examples to appreciate the SQL syntax nuances between PostgreSQL and MySQL:

• In PostgreSQL, to insert a new employee and assign them to a project, you might use a transaction block with a serial ID:

BEGIN;
INSERT INTO employees (name, role, hire_date) VALUES ('Jane Doe', 'Developer', '2023-01-10');
UPDATE project_assignments SET project_id = 2 WHERE employee_id = CURRVAL('employees_id_seq');
COMMIT;

• In MySQL, a similar operation could look like this, leveraging LAST_INSERT_ID():

START TRANSACTION;
INSERT INTO employees (name, role, hire_date) VALUES ('John Smith', 'Project Manager', '2023-02-15');
UPDATE projects SET status = 'Active' WHERE id = LAST_INSERT_ID();
COMMIT;

Performance and Scalability

When evaluating the performance and scalability of PostgreSQL and MySQL, it's essential to consider the specific use case of your application. MySQL is traditionally favored for its high-speed read operations, making it an excellent choice for read-heavy applications such as content management systems or blogging platforms. PostgreSQL, on the other hand, excels in scenarios requiring heavy writes and complex queries, like analytics applications or systems with complex data relationships.

Examples:

• MySQL for Read-Heavy Scenarios: Consider a blogging platform where the majority of the database operations are reads (fetching posts, comments, etc.). MySQL's default storage engine, InnoDB, is highly optimized for read operations, providing fast data retrieval.

SELECT post_title, post_content FROM blog_posts WHERE post_date > '2023-01-01';

This query, running on a MySQL database, would efficiently fetch blog posts from the beginning of the year, benefiting from MySQL's read optimizations.

• PostgreSQL for Write-Heavy Scenarios: In an application processing financial transactions, where data integrity and complex writes are crucial, PostgreSQL's advanced transaction management shines.

BEGIN;
INSERT INTO transactions (user_id, amount, transaction_date) VALUES (1, -100.00, '2023-04-05');
UPDATE accounts SET balance = balance - 100.00 WHERE user_id = 1;
COMMIT;

This transaction, ensuring atomicity and consistency, demonstrates PostgreSQL's strength in handling complex, write-heavy operations.

Extensibility and Advanced Features

PostgreSQL

PostgreSQL is highly extensible, supporting a vast array of advanced features out of the box, including:

• Advanced Data Types: PostgreSQL supports geometric data types, custom types, and even allows for complex types like JSONB, enabling developers to store and query JSON-formatted data efficiently.

SELECT * FROM orders WHERE customer_details->>'city' = 'San Francisco';

This query utilizes the JSONB data type to efficiently query JSON data stored in the orders table, looking for orders from customers in San Francisco.

• Full Text Search: PostgreSQL provides powerful text search capabilities that can search through large volumes of text data quickly.

SELECT * FROM articles WHERE to_tsvector('english', content) @@ to_tsquery('english', 'PostgreSQL & databases');

This example demonstrates searching articles that contain both "PostgreSQL" and "databases", showcasing PostgreSQL's full-text search functionality.

MySQL

MySQL's extensibility includes features such as:

• JSON Support: While not as advanced as PostgreSQL's JSONB, MySQL's JSON data type allows for efficient storage and querying of JSON documents.

SELECT * FROM products WHERE JSON_EXTRACT(info, '$.manufacturer') = 'Acme';

This query searches for products in the products table where the info column (stored as JSON) contains 'Acme' as the manufacturer.

Developer Tools and Ecosystem

PostgreSQL Tools:

• pgAdmin: The most popular and feature-rich open-source administration and development tool for PostgreSQL. pgAdmin Download
• PostGIS: An extension that adds support for geographic objects to PostgreSQL, turning it into a spatial database. PostGIS Documentation

MySQL Tools:

• MySQL Workbench: An integrated tools environment for database design, SQL development, administrative tasks, and more. MySQL Workbench Download
• phpMyAdmin: A free software tool written in PHP, intended to handle the administration of MySQL over the Web. phpMyAdmin Download

Security and Backups

Security and backup strategies are crucial for any database management system, ensuring data integrity and availability.

Both PostgreSQL and MySQL support SSL encryption for data in transit, role-based access control for fine-grained permission management, and the ability to enhance security through "chroot" jails.

• PostgreSQL Backup with Compression and Encryption:

pg_dump mydatabase | gzip | openssl enc -aes-256-cbc -e > mydatabase_backup.sql.gz.enc

This command creates a compressed and encrypted backup of the mydatabase PostgreSQL database, utilizing gzip for compression and openssl for encryption.

• MySQL Backup with Compression and Encryption:

mysqldump -u user -p mydatabase | gzip | openssl enc -aes-256-cbc -e > mydatabase_backup.sql.gz.enc

Similar to the PostgreSQL example, this command performs a backup of the mydatabase MySQL database, with compression and encryption applied for security and efficiency.

For in-depth security and backup strategies, consult the official documentation:

• PostgreSQL: Security | Backup
• MySQL: Security | Backup

Installation on Linux

PostgreSQL

On Ubuntu or Debian-based systems, installing PostgreSQL is straightforward:

sudo apt update
sudo apt-get install postgresql postgresql-contrib

Refer to the official PostgreSQL installation guide for more details.

MySQL

Similarly, for MySQL:

sudo apt update
sudo apt-get install mysql-server

The MySQL installation documentation provides comprehensive instructions.

Conclusion

The choice between PostgreSQL and MySQL for full-stack development hinges on the specific requirements of your project, the nature of your data, and the complexity of the operations you intend to perform. PostgreSQL offers unparalleled extensibility and advanced features, making it ideal for projects that require robust data integrity, complex queries, and extensive data types. Its ability to handle write-heavy applications and support for advanced data structures and full-text search makes it a powerhouse for analytics and applications dealing with complex data relationships.

On the other hand, MySQL shines in scenarios requiring high-speed read operations and straightforward scalability, making it a go-to for web applications, content management systems, and blogging platforms where performance and simplicity are key. Its widespread adoption, coupled with strong community support and a plethora of development tools, ensures a reliable and efficient development experience.

Both databases come equipped with comprehensive security features and flexible backup options, ensuring that data integrity and disaster recovery capabilities are built into your application from the ground up. The rich ecosystems surrounding PostgreSQL and MySQL provide developers with an array of tools and resources, further enhancing the development experience and offering paths to solve virtually any database challenge.

Ultimately, the decision between PostgreSQL and MySQL should be made with careful consideration of your project’s current needs and future growth. Both databases have proven their reliability and performance in the hands of startups and tech giants alike, showcasing their ability to support the most demanding applications and the most innovative projects. By understanding the strengths and capabilities of each, developers can make informed decisions that best suit the requirements of their full-stack projects, laying a solid foundation for success.

Stay Connected

If you enjoyed this article and want to explore more about web development, feel free to connect with me on various platforms:

dev.to

hackernoon.com

hashnode.com

twitter.com

instagram.com

personal portfolio v1

Your feedback and questions are always welcome.

If you like, you can help me here:

Keep learning, coding, and creating amazing web applications.

Comments

[Leandro Nuñez]

So, it really boils down to a bunch of stuff like how much data you're dealing with, the setup, and honestly, the trickiest part has got to be dealing with all the constraints and foreign keys. That's the real headache, in my opinion. But if you've got some experience with MySQL under your belt, then jumping into PostgreSQL shouldn't be too rough.

[Syndesi]

MariaDB is the default replacement for MySQL on most Linux distributions these days :)

[Leandro Nuñez]

According to statista, the next linux alternative to MySQL is PostgreSQL
statista.com/statistics/809750/wor...

Also of 2024:
geeksforgeeks.org/most-popular-dat...

But MariaDB would be a great alternative. I will cover that in another article! Thanks for your comment.

[Miles]

MySQL and MariaDB are diverging enough to be considered different engines with different feature sets.

For example use MariaDB if you want/need temporal tables, exclusion constraints, a native UUID type, user-defined functions as a column default, support for sequences, or reference a temporary table twice within a single statement.

Use MySQL if you want/need CTEs in a subquery, descending indexes, expression indexes, the ability to reliably use it as a queue, or use LATERAL joins.

Neither is a strict superset or subset. Then again, if you're looking for the engine supporting the most features, you need to look closer at Postgres. The only thing really missing there from either MariaDB or MySQL is temporary tables (which you can work around with community-supported options).

[Leandro Nuñez]

Then, I don't get the first comment. Why MariaDB would be the alternative to MySQL if it's considered a complete different engine?
The idea of the article is to set the differences on the most-feature-sharing engines used and what to check before choosing. It has no relation on which one is the better. Thanks for your comment!

[Miles]

MariaDB forked from MySQL years ago. They are wire-compatible with one another, so a MySQL client can connect to a MariaDB server and a MariaDB client can connect to a MySQL server. You can use admin tools like MySQLWorkbench and phpmyadmin with both as well.

So unless you're using a feature that doesn't exist in the other one, you can swap between them relatively easily.

The same is true for products like Yugabyte, CockroachDB, and Postgres; they are all wire-compatible with one another. Easily swap out as long as you're not using an engine-specific feature even though they have very different performance envelopes.

[Leandro Nuñez]

Still don't see the point of the comment.
This article is specific to MySQL and PostgreSQL. I'm really sorry if not adding MariaDB as an option made you fell unconfortable or similar. That was not my intention at all.
I was trying to showcase the two closest engines.
Perhaps, you want me to cover MySQL or MariaDB in another article.
Just let me know.
Thanks for your comment.

[Tanzim Ibthesam]

Nice how many days can it take for someone to switch from mysql to postgres?

[Miles]

Depends on how much MySQL-specific syntax you're using. Here are some examples:

• Function definitions can be quite different.
• Query variables are what you'd use in MySQL prior to the introduction of CTEs.
• Table and column comments can't be inline on Postgres.

Beyond that, you'll need to replace your database client library. For Java it's trivial due to JDBC. If you're using Node for example, because there's no common DB interface, you'd have to make code changes wherever SQL is invoked.

If you're using a popular ORM without punching out to native queries, not long at all. If you have a bunch of native queries or a bespoke ORM that only supports MySQL, you're in for some work.

[Miles]

There's a better option for Postgres.

WITH new_employee AS (
    INSERT INTO employees (name, role, hire_date)
         VALUES ('Jane Doe', 'Developer', '2023-01-10')
      RETURNING employee_id
)
UPDATE project_assignments
   SET project_id = 2
  FROM (SELECT employee_id FROM new_employee) AS subquery
 WHERE employee_id = subquery.employee_id;

Why? Sometimes the id isn't a sequence. Sometimes you might not know the name of the sequence. Though rare, sequences can be renamed, meaning you'd have to change all your queries referencing it. Sometimes the id is passed in from the user (common for UUIDs and custom id types like ULID). Sometimes it's an autogenerated UUID instead of a int/bigint.

With this variation you can handle any id type, not just ones from sequences, AND it can be included in either a separate transaction or the current one due to no longer needing explicit BEGIN/COMMIT (CTEs are considered a single statement), AND it allows you insert multiple employees at the same time rather than just one at a time!

As usual there is no MySQL equivalent, because MySQL doesn't support the RETURNING clause and therefore does not support this level of flexibility.

[Leandro Nuñez]

thanks for sharing!