• v12.4.1 Stable Release

The High-Performance
Relational Engine

An ultra-fast, columnar, disk-based database built in Rust. Designed for massive scale, it combines microsecond-level latency powered by LSM Trees with uncompromising Relational Integrity.

Engineered for Mission-Critical Workloads and Performance

Everything you need to scale your data infrastructure without compromises.

RAM-Speed Writes

Utilizing LSM Trees and MemTables for high-frequency in-memory writes.

Smart Optimizer

Primary Key lookups utilize O(1) direct access, bypassing table scans.

Relational Integrity

Full FOREIGN KEY support ensures strict data consistency automatically.

Native Cross-Platform

Runs natively on Linux, macOS, and Windows without virtualization overhead.

Binary TCP Protocol

Custom binary protocol minimizes packet overhead for ultra-low latency.

RAM-Speed Writes

Utilizing LSM Trees and MemTables for high-frequency in-memory writes.

Smart Optimizer

Primary Key lookups utilize O(1) direct access, bypassing table scans.

Relational Integrity

Full FOREIGN KEY support ensures strict data consistency automatically.

Native Cross-Platform

Runs natively on Linux, macOS, and Windows without virtualization overhead.

Binary TCP Protocol

Custom binary protocol minimizes packet overhead for ultra-low latency.

Disaster Recovery

Native BACKUP and RESTORE commands for point-in-time snapshots.

Storage Encryption

Enterprise-grade transparent disk encryption to secure your data at rest.

TLS 1.3 & Protocol v1

Secure data in transit using Binary Protocol v1 and industry-standard TLS 1.3.

Advanced Bulk Inserts

Accelerate data ingestion with Multiple Rows Insert and Insert from Select.

Aggregates & Expressions

Perform complex analytical queries with built-in aggregates and expressions.

Disaster Recovery

Native BACKUP and RESTORE commands for point-in-time snapshots.

Storage Encryption

Enterprise-grade transparent disk encryption to secure your data at rest.

TLS 1.3 & Protocol v1

Secure data in transit using Binary Protocol v1 and industry-standard TLS 1.3.

Advanced Bulk Inserts

Accelerate data ingestion with Multiple Rows Insert and Insert from Select.

Aggregates & Expressions

Perform complex analytical queries with built-in aggregates and expressions.

Core Architecture

A unified view of the data lifecycle. MaazDB handles concurrent Reads and Writes via MVCC, while managing memory flushing and in-place ChaCha20 encryption automatically.

Client

INSERT INTO users... SELECT * FROM logs... UPDATE config...

Core Engine

Parser, Planner & MVCC

WAL
MemTable
Columnar Disk
Enterprise Grade Security

Zero-Copy
ChaCha20 Encryption

Security shouldn't compromise speed. MaazDB implements an in-place, zero-allocation encryption pipeline. Data is encrypted directly in memory before hitting the disk, saving massive amounts of CPU cycles and RAM.

Zero Allocation: No intermediate buffers are created during encryption.
Parallel Processing: Rayon encrypts multiple columns simultaneously across CPU cores.
Transparent: Fully invisible to the end-user and SQL engine.
storage/encryption.rs
impl ColumnStore {
    // In-Place Encryption (Zero Allocation)
    #[inline(always)]
    fn apply_cipher_in_place(data: &mut [u8], nonce_slice: &[u8]) {
        let key = Key::from_slice(DB_MASTER_KEY);
        let nonce = Nonce::from_slice(nonce_slice);
        
        let mut cipher = ChaCha20::new(key, nonce);
        
        // Mutates buffer directly, saving RAM
        cipher.apply_keystream(data);
    }
}
user@maazdb-cli:~
|

Speak SQL natively.

MaazDB supports standard SQL syntax. Connect via our CLI tool, REST API, or any official language driver. No steep learning curves.

Standard ANSI SQL compatibility
Microsecond query execution time
Real-time execution metrics

Universal Connectivity

Native drivers for your favorite languages.
We are rapidly expanding our ecosystem to support every major backend stack.

Python Node.js Rust
Go
Java
PHP
Ruby
Swift
C# / .NET
C++
Kotlin
Scala
Perl
Lua
Dart
Elixir

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