Honest, experience-based databases comparison from engineers who have shipped production systems with both.
MySQL vs SQLite: MySQL is a full-featured client-server database for multi-user applications. SQLite is a lightweight embedded database perfect for single-user, local, or edge applications. MySQL scales for production; SQLite excels at simplicity. Need help choosing? Get a free consultation →
3
MySQL Wins
0
Ties
3
SQLite Wins
| Criteria | MySQL | SQLite | Winner |
|---|---|---|---|
| Concurrent Access | 10/10 | 4/10 | MySQL |
WhyMySQL handles thousands of concurrent connections with row-level locking. SQLite uses file-level locking — only one writer at a time (reads can be concurrent with WAL mode). | |||
| Simplicity | 5/10 | 10/10 | SQLite |
WhySQLite requires zero configuration — it's just a file. MySQL requires server installation, user management, and network configuration. | |||
| Scalability | 9/10 | 4/10 | MySQL |
WhyMySQL supports replication, clustering (NDB), and handles terabytes of data. SQLite is limited to a single file and doesn't support distributed setups natively. | |||
| Portability | 5/10 | 10/10 | SQLite |
WhySQLite is a single file you can copy anywhere. MySQL requires a running server and export/import for data migration. | |||
| Feature Set | 9/10 | 6/10 | MySQL |
WhyMySQL has stored procedures, triggers, user management, full-text search, and JSON support. SQLite has basic SQL support with fewer advanced features. | |||
| Edge/Embedded Use | 3/10 | 10/10 | SQLite |
WhySQLite runs everywhere — mobile devices, browsers (via WASM), IoT devices, and serverless edge functions. MySQL requires a server. | |||
Scores use a 1–10 scale anchored to production behavior, not vendor marketing. 10 = production-proven at scale across multiple ZTABS deliveries with no recurring failure modes; 8–9 = reliable with documented edge cases; 6–7 = workable but with caveats that affect specific workloads; 4–5 = prototype-grade or stable only in a narrow slice; below 4 = avoid for new work. Inputs: vendor docs, GitHub issue patterns over the last 12 months, our own deployments, and benchmark data cited in the table when applicable.
Vendor-documented numbers and published benchmarks. Sources cited inline.
| Metric | MySQL | SQLite | Source |
|---|---|---|---|
| Architecture | Client-server, daemon process | Embedded, in-process library (single file) | Official docs |
| Current stable | MySQL 8.4 LTS | SQLite 3.46+ | dev.mysql.com · sqlite.org |
| Concurrent writers | Many (row-level locking, MVCC via InnoDB) | One at a time (file-lock); WAL mode allows concurrent reads | sqlite.org/wal.html · dev.mysql.com/doc |
| Max practical database size | Terabytes+ per instance | 281 TB limit; practical well-indexed use <1 TB | sqlite.org/limits.html · MySQL reference |
| DB-Engines popularity rank (recent) | ~#2 overall (RDBMS) | Top-10 overall; most-deployed DB on earth by instance count | db-engines.com/en/ranking (indicative) |
| Deployment footprint | Server + client libs + config (hundreds of MB) | ~1 MB amalgamation, single library linked in-process | sqlite.org/amalgamation.html |
| Typical use case | Multi-user web/SaaS, replication, clustering | Mobile (iOS/Android), browsers, embedded, edge, CLIs, tests | Official docs |
| License | GPL v2 (with FOSS exception) + commercial | Public domain | sqlite.org/copyright.html · mysql.com/about/legal |
MySQL handles concurrent users, replication, and the scale that production web applications demand.
SQLite is the standard for local data storage on iOS and Android — lightweight and zero-config.
SQLite requires no setup — perfect for rapid prototyping and local development.
MySQL's concurrent access, user management, and replication support multi-tenant architectures.
The best technology choice depends on your specific context: team skills, project timeline, scaling requirements, and budget. We have built production systems with both MySQL and SQLite — talk to us before committing to a stack.
We do not believe in one-size-fits-all technology recommendations. Every project we take on starts with understanding the client's constraints and goals, then recommending the technology that minimizes risk and maximizes delivery speed.
Based on 500+ migration projects ZTABS has delivered. Ranges include engineering time, QA, and a typical 15% contingency.
| Project Size | Typical Cost & Timeline |
|---|---|
| Small (MVP / single service) | $2K–$8K, 1–3 weeks. <30 tables: `mysqldump` → SQLite-compatible SQL conversion + ORM config change. Biggest cost is rewriting MySQL-specific column types (ENUM, SET, TINYINT(1)) to SQLite TEXT/INTEGER ($1K–$2K). |
| Medium (multi-feature product) | $10K–$40K, 4–10 weeks. App moving from client-server to edge/embedded (mobile local-first, SaaS going Turso/LiteFS): stored procedures → app-level code (~30% of spend), concurrent-write patterns → queue-based write coordination (another 25%). Full-text search (MySQL FULLTEXT → SQLite FTS5) must be reindexed. |
| Large (enterprise / multi-tenant) | $50K–$200K+, 3–8 months. Multi-tenant SaaS going per-tenant SQLite (Turso, Cloudflare D1 pattern): multi-writer architectural assumptions collapse — single-writer-per-file becomes a hard constraint. Plan 60–120 days of load-testing since file-level locking profiles replace MySQL's row-level MVCC. |
Under ~100 writes/sec and <100 GB, SQLite + Litestream runs cheaper than MySQL by a factor of 5-10 due to no managed DB cost. Past that, MySQL's concurrent write model is required.
Specific production failures we have seen during cross-stack migrations.
Copying the.db file during writes corrupts backups. Use Litestream, VACUUM INTO, or the Online Backup API — not cp.
Default utf8 mangles emoji silently. Always verify utf8mb4 before migrating from SQLite — user data corruption is silent.
Third-way tools and approaches teams evaluate when neither side of the main comparison fits.
| Alternative | Best For | Pricing | Biggest Gotcha |
|---|---|---|---|
| PostgreSQL | Relational data with JSONB, strong ACID, and broad extension ecosystem. | Free OSS; managed $0-$25/mo free tiers (Supabase, Neon). | Heavier ops than SQLite; slightly more complex tuning than MySQL. |
| MongoDB | Document data with flexible schemas and simple horizontal scaling. | Atlas free tier; M10 from ~$57/mo. | Weaker joins and transactions than Postgres/MySQL; schema drift if unchecked. |
| LibSQL / Turso | Multi-region edge replicas of SQLite with a managed HTTP driver. | Free tier; Scaler from $29/mo. | Still effectively single-writer; some SQLite extensions unsupported. |
| DuckDB | Embedded analytics workloads against Parquet/CSV without a server. | Free OSS. | OLAP-focused — not a transactional DB like SQLite or MySQL. |
Sometimes the honest answer is that this is the wrong comparison.
SQLite's write lock serializes writes. MySQL/Postgres handle true concurrency. Above a few writes/sec on the same DB, prefer a server DB.
Neither is designed for OLAP. Use DuckDB (for embedded) or ClickHouse/BigQuery (for distributed).
Our senior architects have shipped 500+ projects with both technologies. Get a free consultation — we will recommend the best fit for your specific project.