SQLite development company
Krapton builds software that keeps data close to the user: SQLite in mobile apps that work offline, desktop and embedded products, browser apps using WebAssembly, and edge deployments on Turso or Cloudflare D1, each with a sync and migration plan.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
When a file-based database is the right call
Krapton works as an SQLite development company for products where the database should live inside the application rather than on a server. SQLite is a strong choice for mobile apps that must keep working offline, desktop tools, embedded devices, single-server web apps with modest write volume, and read-heavy edge deployments. It is a poor choice when many processes on different machines write at once, or when the file sits on a network share where locking is unreliable. The engineering details matter: foreign keys stay off unless each connection enables them, column types are advisory unless you declare STRICT tables, write transactions should start with BEGIN IMMEDIATE to avoid surprise SQLITE_BUSY errors, and WAL mode with a sensible busy_timeout lets readers proceed while a writer commits. Our engineers design schemas with those rules in mind, version migrations so app updates never strand old databases, and plan synchronization with your server before the first offline record is written. Where the database runs on a server, Litestream streams backups to object storage.
SQLite development services
Offline-first mobile data
SQLite stores for iOS and Android through GRDB, Room, expo-sqlite, op-sqlite or Flutter’s drift, with schema migrations that run safely on every app update and conflict rules ready for sync.
Sync engine design
Two-way synchronization between local SQLite and a server database using change tracking, tombstones for deletes and conflict rules chosen per entity, or a managed layer such as PowerSync.
Edge and serverless SQLite
Read-heavy APIs on Turso’s libSQL, Cloudflare D1 or Durable Objects, with schemas designed around each platform’s write path, replication model and query limits.
Desktop and embedded databases
Local data layers for Electron, Tauri and native desktop apps or embedded Linux devices, with SQLCipher encryption at rest, crash-safe writes and compact schemas for constrained storage.
Single-server web backends
Rails, Django, Laravel or Node.js apps running SQLite in production with WAL mode, a single writer queue and Litestream replication to object storage for point-in-time recovery.
Search and JSON features
Full-text search with FTS5 and custom tokenizers, JSON columns queried through SQLite’s JSON functions, and vector similarity through the sqlite-vec extension for on-device semantic search.
Why teams choose Krapton for SQLite
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
We respect the single writer
Write paths are designed around SQLite’s one-writer model: short transactions, BEGIN IMMEDIATE, batched inserts, and a queue wherever several workers would otherwise fight for the lock.
Migrations that never strand users
Mobile and desktop users skip versions, so every migration chain is tested from the oldest supported schema forward, including table rebuilds for changes ALTER TABLE cannot express.
Clear advice on the ceiling
If your write concurrency or multi-server topology will outgrow SQLite, we say so early and design a path to PostgreSQL rather than stretching one file past its limits.
Tests that match production
We avoid testing against SQLite when production runs PostgreSQL, and when SQLite is production, tests use the same pragmas, extensions and build options your app ships with.
How a SQLite project runs with Krapton
01
Data placement review
We decide which data lives on the device, which on the server and which on both, writing down ownership, conflict rules and privacy constraints.
02
Schema and pragmas
Tables, indexes, STRICT typing, foreign key enforcement, journal mode and busy timeout are specified together, then tested on target devices or runtimes.
03
Build and sync
Features and synchronization ship in sprints, with airplane-mode, interrupted-sync and duplicate-write scenarios exercised by automated tests on every change before merge.
04
Release and recovery
Migration chains, backup or Litestream restore procedures and corruption-recovery steps are documented and rehearsed well before a release reaches real users.
The SQLite stack we build with
SQLite development: questions answered
What does a SQLite development company work on?
It builds products that embed their database instead of connecting to a server. Typical projects include offline-capable mobile apps, desktop software, embedded and IoT devices, browser apps using SQLite compiled to WebAssembly, and lightweight web backends. The hard parts are rarely SQL itself; they are migrations across app versions, synchronization with a central database, concurrency under the single-writer model, and dependable backups.
Can SQLite handle a production web application?
Yes, for many single-server applications with read-heavy traffic and moderate writes. WAL mode lets readers continue during writes, and Litestream replicates the database to object storage for recovery. The limit is write concurrency across machines: SQLite allows one writer at a time and should not sit on network file systems. If several application servers must write simultaneously, PostgreSQL or a distributed SQLite service fits better.
How do SQLite development services handle sync between devices and a server?
We pick a sync model per entity before writing code. Options range from simple pull-and-push with timestamps and tombstones, through operation logs with server-side conflict resolution, to managed sync layers such as PowerSync over PostgreSQL. Each choice is tested against airplane mode, partial uploads, clock drift and two devices editing the same record, because that is where sync bugs actually appear.
When should we move from SQLite to PostgreSQL?
Move when write contention, multi-server deployment or reporting needs exceed what one file can serve. Signs include frequent SQLITE_BUSY errors despite short transactions, a need for several app servers, or analysts wanting direct database access with roles. The migration involves converting loosely typed columns, enabling real constraints and replacing queries that relied on SQLite-specific behavior, which an ORM such as Drizzle or Prisma makes easier.
Is SQLite secure enough for sensitive data on devices?
It can be, with the right additions. Standard SQLite stores data unencrypted, so sensitive apps use SQLCipher or a platform equivalent, with keys held in the iOS Keychain or Android Keystore rather than in code. Parameterized queries prevent injection, the secure_delete pragma reduces leftover data in free pages, and exported files or backups need the same protection as the database itself.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.