SQLite vs PostgreSQL
A side-by-side technical matrix of SQLite (Databases & Cache) and PostgreSQL (Databases & Cache) — summaries, strengths and structural trade-offs, symmetrically laid out.
SQLite
SQLite is a serverless, embedded relational database that stores an entire database in a single file. It is the most deployed database engine in the world, shipping inside phones and browsers.
Pros
- Zero configuration. No server to run; the whole database is one portable file. 0
- Incredibly reliable. Exhaustive testing makes it famously crash-resistant. 0
- Fast for local reads. In-process access beats any network database for latency. 0
- Everywhere. Ships in every phone, browser, and countless apps. 0
Cons
- Limited concurrency. A single writer lock bottlenecks write-heavy workloads. 0
- Not for big scale. Poor fit for high-traffic multi-server applications. 0
- Loose typing. Flexible column types can mask data errors. 0
- No network access. Being embedded means no built-in client-server mode. 0
PostgreSQL
PostgreSQL is a fully open-source relational database known for standards compliance, extensibility, and rock-solid transactional integrity. Extensions add JSON, geospatial, full-text, and vector search to the core engine.
Pros
- Battle-tested ACID. Decades of production use with strict transactional correctness. 0
- Powerful extensions. PostGIS, pgvector, and full-text search live inside the database. 0
- Rich SQL support. Window functions, CTEs, and JSON operators handle complex queries. 0
- Truly free. Permissive license with no owning vendor or paid tiers. 0
- Managed everywhere. Every major cloud offers a hosted PostgreSQL service. 0
Cons
- Vertical-first scaling. Write scaling beyond one primary requires manual sharding. 0
- Connection cost. Each connection is a process, so serverless apps need pooling. 0
- Vacuum maintenance. Autovacuum needs tuning on write-heavy tables to avoid bloat. 0
- Replication complexity. Failover and high availability demand external tooling. 0