SQL Comparisons

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Database comparisons work best when they begin with the job. A ranking cannot describe the application's deployment and operations. MySQL, PostgreSQL, SQLite, and MariaDB all store relational data and understand familiar SQL, with different operating models around that shared foundation.

Think of the choice as selecting a workshop. The tools may share names, yet the size of the room, number of workers, safety rules, and available equipment determine which workshop fits the project.

Compare the Workload First

Write down where the database will run and who will write to it. This is the workshop floor plan: SQLite runs inside the application and stores a database in a local file, while MySQL, PostgreSQL, and MariaDB normally run as client-server systems that accept connections from applications.

Then check the workload with these practical questions:

  • How many application processes or machines write at the same time?
  • Does the data stay on one device or serve a networked application?
  • Do reports need advanced joins, window functions, or specialized types?
  • Which engine does the framework, host, or managed provider support directly?
  • Can the team back up, restore, monitor, and upgrade the chosen engine?

An existing supported database is usually safer than a migration made for marginal feature gains. For a new project, choose the smallest operational model that still meets the expected concurrency and data requirements.

MySQL vs PostgreSQL vs SQLite vs MariaDB

DatabaseTypical UseStrength and Choice
MySQLWeb applications and managed hostingBroad support; choose when the stack already targets MySQL
PostgreSQLServer applications and detailed data modelsRich types and constraints; choose for advanced relational work
SQLiteLocal apps, mobile, embedded data, testsSingle-file deployment; choose when writes can stay local
MariaDBMySQL-family web and server applicationsMySQL protocol compatibility; choose with explicit MariaDB support

PostgreSQL fits applications that use detailed constraints, specialized data types, extensions, or complex reporting. MySQL fits conventional web stacks with mature hosting and framework support. MariaDB fits similar MySQL-family workloads when the host and application explicitly support it.

SQLite is different because there is no separate database server. It works well for local application state, embedded devices, tests, command-line tools, and many lower-write websites. SQLite allows many readers but only one writer at a time, so high write concurrency can require a client-server database.

MySQL is often the direct choice when a framework, managed host, or existing operations team already targets it. Its InnoDB storage engine provides the transactional behavior expected by conventional web applications, and its broad connector support reduces integration work.

PostgreSQL gives a data model more ways to express rules through constraints, types, indexes, and extensions. It suits applications that expect detailed reporting or database-side behavior and have a team prepared to operate a PostgreSQL server.

MariaDB is strongest when the surrounding stack names MariaDB support instead of assuming it from MySQL support. The shared client protocol helps applications connect, while the separate release line requires its own compatibility and upgrade checks.

SQLite removes server administration from the application architecture. That makes local distribution simple, but every process that writes must coordinate through the same database file. Network-separated clients and sustained concurrent writes point toward a client-server engine.

How Licensing Differs

Licensing may affect redistribution or a product that embeds database software. Small hosted applications usually decide from workload and support first. Record the license before any database software or connector is distributed with a product.

DatabaseLicensing Model
MySQLGPL open-source edition or Oracle commercial license
PostgreSQLPermissive PostgreSQL License
SQLitePublic domain
MariaDBGPLv2 Community Server

Read the official license terms for the exact product and connector being distributed. A database server, client library, management tool, and commercial support package can have different terms.

Which SQL Syntax Is Portable

Basic selections transfer well across these four databases. The following query works in MySQL, PostgreSQL, SQLite, and MariaDB when the table and column types match:

SELECT product_name, price
FROM products
WHERE stock_count > 0
ORDER BY price DESC
LIMIT 5;

It returns the five most expensive products that are in stock. Even portable-looking queries still need tests because collations, null ordering, types, and functions can change the result.

Generated numeric keys show a common syntax divergence:

-- MySQL and MariaDB
id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY

-- PostgreSQL
id BIGINT GENERATED ALWAYS AS IDENTITY PRIMARY KEY

-- SQLite
id INTEGER PRIMARY KEY

All three forms can generate a row identifier, but their rules are not identical. PostgreSQL identity columns use an implicit sequence. SQLite gives an INTEGER PRIMARY KEY the rowid behavior documented by SQLite. Copying a schema between engines requires more than renaming the connection string.

Common Pitfalls

Choosing by Popularity Instead of Workload

A popularity chart does not describe the application's write concurrency, deployment target, support contract, or backup process. Choose from the workload and operating constraints, then confirm that the framework and host support the exact engine.

Assuming SQL Is Fully Portable

Tables, selections, filters, and joins share a common shape. Generated keys, upserts, JSON functions, date arithmetic, full-text search, collations, and administrative commands often differ. Run migrations and integration tests against every engine the application claims to support.

Treating Compatibility as Identity

MariaDB and MySQL share substantial history and protocol compatibility, but their features and release lines have diverged. SQLite also accepts familiar SQL while using a different typing and concurrency model. Compatibility must be proven with the real schema and queries.

Comparison Guides

Frequently Asked Questions

Which SQL database is best for a beginner?

SQLite is the shortest route to running local SQL because it needs no separate server. PostgreSQL or MySQL is a better first client-server database when your goal is a hosted application. Learn tables, keys, joins, and transactions before engine-specific features.

Can an application switch databases later?

Yes, but the move is rarely automatic. Data types, generated keys, upserts, date functions, JSON behavior, collations, and migration tools can differ. Test the schema and queries against the destination engine, then rehearse data export, import, verification, and rollback.

Are MySQL and MariaDB the same database?

No. MariaDB began as a MySQL fork and retains substantial protocol and syntax compatibility, but the products now have separate release lines and feature differences. Check the application's support matrix and test the exact server version instead of treating the names as interchangeable.

Does licensing matter for a typical hosted web application?

For most hosted applications licensing rarely changes the technical decision; workload, support, and operations decide first. It becomes a real constraint when database software or a connector ships inside a distributed product, so check it at that point rather than as a starting filter.

Is NoSQL one of the options this comparison covers?

No. This hub compares SQL engines only: MySQL, PostgreSQL, SQLite, and MariaDB. Choosing between a relational database and a document, key-value, graph, or wide-column store is a separate decision covered in the SQL versus NoSQL comparison.

Where does MaxDB fit into this comparison?

MaxDB is covered separately because it is not a MySQL-family choice for a typical new application. It belongs to the SAP DB lineage and suits existing SAP environments. See the MySQL versus MariaDB versus MaxDB comparison for that history and its narrow use case.

Use the SQL database guides for per-engine setup and operating details. Return to the SQL hub for joins, schema design, indexes, transactions, imports, and other how-tos.

Sources

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