Custom SQLite databases from our SQLite development company.

SQLite for embedded/mobile apps, single-user desktop apps, IoT edge storage, and development/testing. PostgreSQL for multi-user server applications, complex queries, and high-concurrency workloads. SQLite is an application file format, not a client-server database.

SQLite supports multiple concurrent readers with WAL (Write-Ahead Logging) mode, but only one writer at a time. For single-user or low-write applications, this is perfectly adequate. For high-concurrency server workloads, use PostgreSQL or MySQL.

We implement sync architectures using timestamp-based change tracking, CRDT conflict resolution, or tools like Turso/LiteFS. The strategy depends on your conflict model, data volume, and connectivity patterns.

Absolutely. SQLite powers every iOS and Android device natively. We use platform ORMs (Room, Core Data) for type-safe access, migration management, and reactive query observation.

We optimize SQLite on iOS/Android by enforcing Write-Ahead Logging (WAL) mode to drastically improve concurrency, and we prepare all SQL statements explicitly to minimize battery consumption and CPU overhead.

Yes, we utilize extensions like SQLCipher. We compile it directly into your IoT or desktop application, ensuring the entire SQLite database file is AES-256 encrypted, protecting sensitive edge data if the physical device is compromised.

SQLite inherently locks the entire database during a write operation. We manage this by utilizing a single, dedicated background thread for all `INSERT`/`UPDATE` operations, queuing write requests to prevent `database is locked` exceptions.

We utilize strict versioning via `PRAGMA user_version`. When the app launches, we check the version and execute sequential `ALTER TABLE` scripts or perform temporary table migrations to update the schema without destroying user data.

Absolutely. We compile SQLite with the FTS5 extension, creating specialized virtual tables. This allows mobile or desktop apps to execute incredibly fast, Google-like keyword searches and ranking algorithms locally without internet access.

SQLite relies on file-level locking, meaning it only allows a single simultaneous writer. While excellent for read-heavy websites, it bottlenecks severely under high-concurrent write operations, making PostgreSQL or MySQL mandatory for high-traffic backends.