Talk to your database.Built for pure speed.
Thirteen native database engines. Ask in plain English or run raw queries.
PostgreSQL, MySQL, SQLite, DuckDB, ClickHouse, Redis, MongoDB, LibSQL, Turso, ScyllaDB, Cassandra, MSSQL & Azure SQL — 17–30MB, zero Electron.
[ 01 // VELOXY AI COPILOT ]
AI that respects your privacy
Generate complex SQL from plain language using your own OpenRouter or Anthropic API keys. Zero telemetry, no cloud logging, no data ingestion — your schema and queries stay entirely on your local workstation.
[ 02 // ARCHITECTURE & CAPABILITIES ]
Everything you need.
Nothing you don't.
13 Native Database Engines
PostgreSQL, MySQL, SQLite, DuckDB, ClickHouse, Redis, MongoDB, LibSQL, Turso, ScyllaDB, Cassandra, MSSQL, Azure SQL — plus cloud flavors like Supabase, Neon, and Atlas.
Instant URI Connection
Drop in any postgresql://, mysql://, redis://, mongodb(+srv)://, or sqlite:// URI. Engine, port, SSL, and auth auto-detect.
Inferred Schema Engine
MongoDB collections and Redis keys receive inferred schema structure with field presence percentages in native Rust.
Partition-Aware Diagrams
PostgreSQL partitioned tables show parent tables cleanly. The schema inspector auto-hides when nothing is selected.
Nine Built-in Themes
Light, Dark, System, Sepia, Ocean, Forest, Rose, Slate, and Amber — tailored palettes for high-focus database sessions.
Native Auto-Updates
Background release checks run natively via Rust with semantic versioning and instant one-click downloads.
Hardened Rust Backend
Typed error handling, a per-engine trait system, microsecond connection pools, and comprehensive regression suites.
Config-Driven Drivers
Connection forms and credential extractors are entirely schema-driven. Adding an engine takes about 20 lines of Rust.
Zero-Cloud Ingestion
Direct socket connections straight from your workstation to your databases. Zero query routing through cloud middleware.
[ 03 // VISUAL SCHEMA DESIGNER ]
Design schemas visually. No manual DDL.
Drag, drop, and inspect table relationships with automatic topological layout. Built directly into the core binary with column inspector, index inspector, and one-click DDL generation.
- ✓Visual ER diagrams with automatic layout
- ✓Drag-and-drop table relationships
- ✓Inferred schema for MongoDB collections and Redis keys
- ✓Inspector panel with full column, index, and constraint details
- ✓Export to SQL, PNG, or PDF
[ 04 // BENCHMARKS & CLIENT COMPARISON ]
Why developers choose VeloxDB
Engineered in Rust with a sub-second startup time and ~50MB runtime footprint. Contrast that with Java/Electron memory bloat.
| Capability / Metric | VeloxDB Pro | pgAdmin / DBeaver |
|---|---|---|
| Download Size | 17-30MB | 200MB - 600MB+ |
| Memory Usage | ~50MB | 300MB - 1GB+ |
| Startup Time | <1 second | 5-15 seconds |
| Built with | Rust / Tauri | Electron / Java |
| Themes | 9 built-in | Partial / plugin |
| Model designer | Built-in | Separate tool |
| Auto-complete | Schema-aware | Basic |
| Keychain | Native | None |
[ 05 // SECURITY & ENCLAVE ARCHITECTURE ]
Zero telemetry. Local-first runtime.
VeloxDB executes queries directly on your loopback or network sockets. Zero telemetry, zero analytics beacons, zero credential uploads. Your connection strings never leave your machine.
[ 06 // BINARIES & PACKAGES ]
Direct Platform Downloads
Native binaries compiled for macOS, Windows, and Linux. Zero dependencies, low memory footprint, MIT licensed.
VeloxDB Desktop is free and MIT open-source. If it accelerates your SQL workflow, consider sponsoring the project to keep development fast, independent, and ad-free.
[ 07 // DOCUMENTATION & TECHNICAL GUIDES ]
Migration & Architecture Guides
Technical documentation to switch from legacy tools and optimize your database workflows.
[ 08 // COMMUNITY & OPEN SOURCE ]
Star VeloxDB on GitHub
Independent, community-driven database tooling. Every star fuels open source development.
