/ tool-comparisons / MySQL vs SQLite for Solo Developers
tool-comparisons 9 min read

MySQL vs SQLite for Solo Developers

Comparing MySQL and SQLite for solo developers. Features, pricing, and which to pick.

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Quick Comparison

Feature MySQL SQLite
Type Client-server relational database Embedded file-based relational database
Latest version Community Server 9.7.0 LTS, plus 8.4.9 LTS (2026-04-21) 3.53.1 (2026-05-05)
License and price GPLv2 open source, free to run yourself Public domain, free to run yourself
GitHub (source mirror) mysql/mysql-server, 12,267 stars sqlite/sqlite, 9,711 stars
Node driver weekly installs mysql2, about 10.66M/week better-sqlite3, about 6.50M/week
Concurrency model Many concurrent writers, thousands of connections Many readers, one writer at a time (WAL mode)
Managed cost to start About 11.68/mo for the smallest AWS RDS instance, or 5/mo on PlanetScale 0/mo embedded, or 4.99/mo on Turso for an edge tier
Learning Curve Easy Very Easy
Best For Traditional web apps and multi-user applications Prototypes, desktop/mobile apps, and low-to-medium traffic web apps
Solo Dev Rating 7/10 9/10

MySQL Overview

MySQL is a client-server database. It runs as a separate process on your machine or server, accepts connections over a network, handles concurrent users, and manages its own data files. You install it, configure it, create databases and users, and then your application connects to it through a driver.

Every hosting provider supports MySQL. Frameworks like Laravel, Rails, and Django work seamlessly with it. It scales to handle millions of rows and thousands of concurrent connections. For traditional web applications, especially in the PHP ecosystem, MySQL is the default choice.

The operational overhead is the tradeoff. You need to install MySQL, manage the server process, configure users and permissions, handle backups, and ensure it stays running. For production deployments, you also think about replication, connection pooling, and security hardening.

SQLite Overview

SQLite is a database engine embedded directly into your application. There is no server process, no network connections, no configuration files. Your entire database is a single file on disk. You add a library to your project, point it at a file path, and you have a fully functional relational database.

This simplicity is not a weakness. SQLite is the most widely deployed database in the world. It runs on every smartphone (iOS and Android both use it extensively), in every web browser, and in countless desktop applications. It is tested with billions of deployments.

For a solo developer, SQLite means zero configuration. No Docker containers for your database, no background processes, no connection strings with passwords. You git clone your project, run it, and the database is just there. For prototyping, side projects, and applications with moderate traffic, this simplicity is a superpower.

Key Differences

Architecture is the fundamental difference. MySQL runs as a separate server that handles connections from multiple clients simultaneously. SQLite is a library linked into your application that reads and writes a file. This affects everything: deployment, concurrency, backups, and scaling.

Concurrency is where MySQL wins clearly. MySQL handles thousands of concurrent read and write operations from different connections. SQLite allows multiple concurrent readers but only one writer at a time. If two requests try to write simultaneously, one waits. For a blog, a personal project, or an app with moderate traffic, this is fine. For a high-traffic API with many concurrent writes, it becomes a bottleneck.

Deployment with SQLite is trivially simple. Deploy your application, and the database is a file sitting next to it. Need a backup? Copy the file (or use the .backup command). Need to inspect the data? Open the file with any SQLite client. MySQL deployments require ensuring the database server is running, configured, and accessible from your application.

Testing is dramatically easier with SQLite. Create a fresh database for each test run by using an in-memory database or a temporary file. No test database configuration, no cleanup scripts, no shared state between tests. This makes your development cycle faster and your tests more reliable.

Feature set favors MySQL for advanced use cases. MySQL supports stored procedures, triggers, events, full-text search, spatial data, and user management. SQLite is intentionally minimal. No stored procedures, limited ALTER TABLE support, no user-level access control, and no native date/time types. For most CRUD applications, SQLite's features are sufficient. For complex database logic, MySQL offers more.

The SQLite renaissance is real. Tools like Litestream (real-time replication), LiteFS (distributed SQLite), Turso (edge SQLite), and the general movement toward simpler infrastructure have made SQLite viable for production web applications. Frameworks like Laravel and Rails support SQLite as a production database. This was not the case a few years ago.

By the Numbers (2026)

Numbers cut through opinion, so here is where both projects actually stand as of late May 2026.

Versions and release cadence. SQLite is on version 3.53.1, released 2026-05-05, a patch on top of the 3.53.0 feature release from 2026-04-09. It still ships roughly every month or two from a tiny core team. MySQL gives you two live tracks: Community Server 9.7.0 LTS is the current default download, and the older long-term line 8.4.9 LTS landed 2026-04-21. MySQL 8.0 reached end of life in April 2026 with 8.0.46, so if you are on 8.0 you are now on the upgrade clock. SQLite has no such treadmill. The file format is committed to backward compatibility through at least 2050.

Licensing. SQLite is public domain. There is no license to accept, no copyright to attribute, nothing to comply with. MySQL Community Server is GPLv2 open source, free to run, with a paid Oracle commercial license existing mainly for vendors who want to embed it without GPL obligations. For a solo developer, both cost zero dollars to install and run.

Adoption signals. The source mirrors tell a story of two healthy projects. mysql/mysql-server sits at 12,267 GitHub stars and 4,276 forks. sqlite/sqlite (the official Git mirror of the canonical Fossil repo) sits at 9,711 stars and 1,513 forks. Raw stars undersell SQLite though, because it ships inside every phone, browser, and OS rather than as a repo people clone.

What solo devs actually install. The Node driver download counts are a better proxy for day-to-day usage. In the week ending 2026-05-27, mysql2 pulled about 10.66 million weekly downloads (latest version 3.22.4) and better-sqlite3 pulled about 6.50 million (latest version 12.10.0). MySQL leads, but a single-file embedded database holding well over half the volume of the dominant client-server driver is a strong signal that the SQLite renaissance is not hype.

Real Cost at Solo-Dev Scale

Both engines are free as software, so the real bill is hosting. Here is a concrete monthly comparison for a realistic small project: a side-project web app with moderate traffic that needs the database running 24/7.

Assumptions. One always-on app, one small managed database, US region, on-demand pricing (no reserved or savings-plan discount), storage and backups kept small. Prices are list rates checked 2026-05-29.

SQLite, embedded (the default). The database is a file on the same disk as your app. There is no separate database server, so the marginal cost is 0/mo. You are already paying for the app host (a small VPS or a container), and the database rides along for free. Backups are a file copy to object storage, typically pennies. This is the entire reason the rating gap exists.

SQLite, managed at the edge (Turso). If you want replication and point-in-time restore without running it yourself, Turso's free tier covers 100 databases, 5GB storage, and 500 million row reads per month, which is more than most side projects ever touch. The first paid step, the Developer plan, is 4.99/mo for 9GB storage and 2.5 billion monthly reads.

MySQL, managed (AWS RDS). The smallest current RDS instance, db.t4g.micro (2 vCPU, 1GB RAM), runs 0.016/hr on-demand in us-east-1. Always-on, that is 0.016 times roughly 730 hours, or about 11.68/mo for compute alone, before storage and backup. Add a few GB of gp3 storage and you land in the low-to-mid teens per month.

MySQL, managed (PlanetScale). The entry paid tier starts at 5/mo for a single small node.

The honest read: for a solo project, SQLite embedded is free and MySQL is roughly 5 to 15 dollars a month minimum just to keep a small managed instance breathing. Over a year that is 60 to 180 dollars for infrastructure you may not need yet. The number is small, but it is not zero, and it comes with an operational surface area that the file does not.

When to Choose MySQL

  • Your application needs high write concurrency from many simultaneous users
  • You need database-level user management and access control
  • You are deploying to shared hosting that only supports MySQL
  • You need stored procedures or complex database-level logic
  • You are building a WordPress site

When to Choose SQLite

  • You are prototyping or building a side project
  • You want zero-configuration database setup
  • Your application has low to moderate traffic (most solo projects)
  • You are building a desktop or mobile application
  • You want the simplest possible deployment
  • You value easy testing with disposable databases

The Verdict

SQLite deserves more respect than it gets. For solo developers, the 9/10 vs 7/10 rating reflects a simple truth: most projects do not need a client-server database, and SQLite's simplicity removes an entire category of operational complexity. No Docker database container, no connection strings, no server management.

If your application needs concurrent writes from many users or you are deploying to an environment that specifically requires MySQL, use MySQL. But for prototypes, side projects, blogs, personal tools, and applications with moderate traffic, SQLite is not just "good enough." It is genuinely better because it removes complexity without sacrificing functionality. Try it for your next project. You might be surprised how far a single file gets you.

Sources

All figures below were checked on 2026-05-29.

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