AxioDB

The problem#

SQLite is great, but its native C bindings cause real deployment pain in JavaScript projects:

• electron-rebuild on every Electron update
• Platform-specific builds (Windows .node files are not Mac .node files)
• SQL strings instead of JavaScript objects
• Schema migrations every time your data model changes
• node-gyp compilation headaches

Plain JSON files avoid all that, but they have no querying, no caching, and no indexing — they stop scaling past a few thousand records. MongoDB solves the query and caching problem, but it needs a separate server process, which is overkill for a desktop app, a CLI tool, or an embedded system.

The solution#

AxioDB combines the parts of each option that actually matter for an embedded use case:

• Works everywhere Node.js runs — no rebuild, no native dependencies
• MongoDB-style queries: { age: { $gt: 25 } }
• Schema-less JSON documents — no migrations
• Built-in InMemoryCache with automatic invalidation
• Multi-core parallelism with Worker Threads
• Built-in web GUI at localhost:27018
• AxioDBCloud — optional TCP remote access for Docker and cloud deployments

Is it a fit for you?#

AxioDB isn't competing with PostgreSQL or MongoDB. It's for when you need a database embedded in your app — no server setup, no native dependencies. When you outgrow it, migrating to PostgreSQL or MongoDB is the expected next step.

Start here#

Benchmarks#

Tested March 2026, Ubuntu Linux, Node.js v20+, 10,000-document dataset:

See Comparisons for the full breakdown against SQLite and JSON files.