MySQL vs. MariaDB vs. PostgreSQL on Deploynix: Which Should You Pick?

Choosing a database is one of the first decisions you make when starting a Laravel project, and one of the hardest to reverse later. Laravel supports MySQL, MariaDB, PostgreSQL, and SQLite out of the box, and Deploynix lets you provision dedicated servers for MySQL, MariaDB, and PostgreSQL with a few clicks. But which one should you pick?

The answer depends on your application's requirements, your team's expertise, and the specific features you need. This guide provides a thorough comparison to help you make an informed decision.

A Brief History

Understanding where each database comes from helps explain their design philosophies.

MySQL was created in 1995 by MySQL AB and is now owned by Oracle. It's the "M" in the LAMP stack and has been the default choice for PHP applications for decades. MySQL prioritized ease of use and speed for read-heavy web applications. Oracle's stewardship has brought enterprise features and improved standards compliance, but has also raised concerns about the database's open-source future.

MariaDB was created in 2009 by Michael "Monty" Widenius, the original creator of MySQL, as a fork after Oracle's acquisition. MariaDB aims to be a drop-in replacement for MySQL while adding features and maintaining a stronger commitment to open-source principles. The two databases share a common heritage and significant code overlap, but have diverged increasingly over the years.

PostgreSQL has roots going back to 1986 at UC Berkeley. It has always prioritized correctness, standards compliance, and extensibility over raw speed. PostgreSQL is often described as the most advanced open-source relational database, with features like full ACID compliance, advanced indexing, and rich data types that other databases are only now catching up to.

Feature Comparison

Data Types

MySQL/MariaDB support standard SQL data types plus JSON columns (with binary storage in MySQL 8+). Both handle ENUM, SET, and spatial data types well. MySQL's JSON support has improved significantly, with generated columns and JSON path expressions.

PostgreSQL shines here with native support for arrays, hstore (key-value pairs), JSONB (binary JSON with indexing), range types, network address types (inet, cidr), UUID, and custom composite types. If your application deals with complex data structures, PostgreSQL's type system reduces the need for workarounds.

For Laravel developers: Laravel's schema builder and Eloquent support JSON columns across all three databases. However, PostgreSQL's JSONB is more performant for querying within JSON documents. If you use whereJsonContains or whereJsonLength extensively, PostgreSQL will serve you better.

Indexing

MySQL supports B-tree, hash, full-text, and spatial indexes. InnoDB's clustered index on the primary key is excellent for primary key lookups. Covering indexes and index condition pushdown improve query performance.

MariaDB adds column store indexes for analytical queries and has improved its optimizer over MySQL in several areas. It also supports the same index types as MySQL.

PostgreSQL offers B-tree, hash, GiST, SP-GiST, GIN, and BRIN indexes. GIN indexes are excellent for full-text search and JSONB queries. Partial indexes let you index only rows matching a condition, reducing index size and improving write performance. Expression indexes let you index computed values. This flexibility is unmatched.

Full-Text Search

MySQL/MariaDB support full-text search via FULLTEXT indexes. It works for basic use cases but lacks advanced features like stemming configuration, ranking algorithms, and language support.

PostgreSQL has a robust full-text search engine built in, with configurable text search dictionaries, ranking, highlighting, and support for multiple languages. For many applications, PostgreSQL's full-text search eliminates the need for a separate search service.

For Laravel developers: If you need search beyond basic LIKE queries but don't want to add Meilisearch or Algolia, PostgreSQL's full-text search is compelling. Laravel Scout works with all three databases, but PostgreSQL's native capabilities give you more options without additional services.

Concurrency and Locking

MySQL/MariaDB (InnoDB) use row-level locking and MVCC (Multi-Version Concurrency Control). Performance is good for typical web application workloads. However, some DDL operations (like ALTER TABLE) can lock the table in certain scenarios.

PostgreSQL also uses MVCC but with a different implementation that avoids some of MySQL's locking edge cases. PostgreSQL's SERIALIZABLE isolation level uses Serializable Snapshot Isolation (SSI), which is more correct than MySQL's gap locking approach. PostgreSQL also handles concurrent DDL better in many cases.

Replication

MySQL supports asynchronous and semi-synchronous replication, with Group Replication for high-availability clusters. Setting up read replicas is straightforward and well-documented.

MariaDB offers Galera Cluster for synchronous multi-master replication, which is mature and battle-tested. MariaDB MaxScale provides intelligent query routing between masters and replicas.

PostgreSQL supports streaming replication (asynchronous and synchronous) and logical replication. Logical replication is particularly useful for zero-downtime upgrades and selective data replication.

Laravel Compatibility

All three databases work well with Laravel, but there are nuances worth knowing.

Migration compatibility: Laravel's schema builder abstracts most differences, but some operations behave differently. For example, ->change() in migrations works slightly differently across databases. Always test migrations against your target database.

Eloquent compatibility: Core Eloquent operations work identically across all three databases. Where you'll notice differences is in raw queries, database-specific functions (like MySQL's FIELD() versus PostgreSQL's array_position()), and JSON operations.

Testing considerations: Many Laravel teams use SQLite for testing, regardless of their production database. This works for most cases but can hide database-specific issues. If you use PostgreSQL-specific features (arrays, JSONB queries), consider running tests against PostgreSQL too.

Specific gotchas:

• MySQL's FIELD() function doesn't exist in PostgreSQL. Use CASE WHEN or array_position() instead.
• PostgreSQL is stricter about type casting. Queries that work in MySQL might fail in PostgreSQL due to implicit type conversion differences.
• MariaDB's JSON implementation differs from MySQL's in some edge cases, particularly around JSON path expressions.
• Boolean handling differs: MySQL uses TINYINT(1), while PostgreSQL has a native boolean type.

Performance Characteristics

Performance comparisons are inherently context-dependent. A database that excels for one workload may struggle with another.

Read-heavy workloads (blogs, content sites, e-commerce catalogs): MySQL historically excels here, with its query cache (though removed in MySQL 8) and optimized read path. All three databases perform well for simple read queries. The differences are marginal for typical Laravel applications.

Write-heavy workloads (SaaS platforms, analytics, real-time applications): PostgreSQL's MVCC implementation handles write contention slightly better than MySQL in many scenarios. MariaDB's thread pool can also improve write performance under heavy load.

Complex queries (reporting, analytics, aggregations): PostgreSQL's query planner is generally considered superior for complex queries with multiple joins, subqueries, and window functions. If your application runs analytical queries alongside OLTP workloads, PostgreSQL has an edge.

JSON-heavy workloads: PostgreSQL's JSONB with GIN indexes significantly outperforms MySQL's JSON for queries that filter or aggregate within JSON documents.

For most Laravel applications, the performance difference between these databases is negligible. Your queries, indexes, and application architecture matter far more than the database engine choice. An N+1 query problem will destroy performance on any database.

When Each Database Shines

Choose MySQL When:

• Your team has extensive MySQL experience.
• You're building a standard Laravel CRUD application.
• You need broad hosting compatibility (MySQL is supported everywhere).
• You're using a framework or CMS that's optimized for MySQL (like WordPress alongside your Laravel app).
• You want the largest ecosystem of tools, tutorials, and community support for PHP applications.

Choose MariaDB When:

• You want MySQL compatibility with a stronger open-source commitment.
• You need Galera Cluster for multi-master replication.
• You want column store indexes for analytical queries.
• You're concerned about Oracle's direction with MySQL.
• You're already running MariaDB (many Linux distributions ship MariaDB as the default "MySQL").

Choose PostgreSQL When:

• Your application uses complex data types (arrays, JSON documents, geospatial data).
• You need advanced full-text search without adding a separate service.
• You run complex analytical queries alongside your application workload.
• Data integrity and standards compliance are top priorities.
• You want features like partial indexes, expression indexes, or custom types.
• You're building a multi-tenant SaaS and want to use PostgreSQL schemas for tenant isolation.

Setting Up on Deploynix

Deploynix makes provisioning any of these databases straightforward.

Dedicated database server: When you provision a server on Deploynix, you can choose the Database server type and select MySQL, MariaDB, or PostgreSQL. Deploynix installs and configures the database with production-appropriate settings, including memory tuning based on your server's resources.

App server with local database: Alternatively, you can provision an App server that includes a database. This is simpler but means your database and application compete for resources.

Connecting your application: After provisioning, create a database and user through the Deploynix dashboard. Deploynix generates strong passwords automatically. Update your Laravel application's environment variables with the connection details.

Firewall configuration: When using a dedicated database server, Deploynix configures firewall rules to allow connections only from your application servers. The database port is never exposed to the public internet.

Backups: Regardless of which database you choose, Deploynix supports automated backups to AWS S3, DigitalOcean Spaces, Wasabi, or any S3-compatible storage. Configure backup frequency and retention through the dashboard.

Cloud provider options: You can provision database servers on DigitalOcean, Vultr, Hetzner, Linode, AWS, or use custom servers. Choose a provider and region that places your database geographically close to your application server for minimum latency.

Migration Between Databases

If you need to switch databases later, it's possible but not trivial.

MySQL to MariaDB (or vice versa): This is the easiest migration since they share significant compatibility. For most Laravel applications, it's a drop-in replacement. Test thoroughly, especially if you use JSON columns or specific MySQL 8 features.

MySQL/MariaDB to PostgreSQL: This requires more effort. You'll need to update raw queries, handle type differences, and potentially adjust migrations. Tools like pgloader can help with data migration. Budget time for testing, especially around JSON queries, boolean handling, and string comparison behavior (PostgreSQL is case-sensitive by default for LIKE queries).

Conclusion

For most Laravel applications, MySQL is the safe default. It's battle-tested with PHP, has the largest community, and works well for standard web application workloads. If you don't have a specific reason to choose otherwise, MySQL will serve you well.

Choose MariaDB if you want MySQL compatibility with an open-source philosophy and some extra features, particularly Galera Cluster for high-availability setups.

Choose PostgreSQL if your application demands complex data types, advanced querying capabilities, or built-in full-text search. The additional strictness and correctness of PostgreSQL is an investment that pays dividends as your application grows in complexity.