v0.1.0 ALPHA RELEASED

A database built for predictable performance and hardware efficiency.

High-performance engine designed for sharded multi-core architectures. Optimized for modern NVMe throughput and CPU cache locality.

HARDWARE-OPTIMIZED SHARDING

Predictable Latency.
Extreme Throughput.

By leveraging hardware-native primitives, INKA eliminates the jitter associated with traditional buffer management and garbage collection.

Our architecture focuses on CPU cache optimization, ensuring that data is processed as close to the processor as possible for sub-microsecond response times.

LEGACY ENGINES HIGH VARIANCE
INKA ENGINE DETERMINISTIC

Hardware-Aware Architecture

Engineered for the limits of modern NVMe and Multi-core systems.

USER INTERFACE
Unified API | Native SDKs | gRPC Support
Sharded Core
Memory Slab
SIMD Data
HARDWARE KERNEL LAYER
Async I/O Unified Memory Direct Access
memory

Cache Locality

Data structures optimized for CPU L1/L2/L3 caches to maximize instruction throughput and minimize memory stalls.

#OPTIMIZED_LAYOUT
speed

Zero-Copy Paths

Data flows directly from the I/O subsystem to your application logic without unnecessary serialization or intermediate buffers.

#LOW_OVERHEAD
grid_view

Multi-Core Scaling

True shared-nothing architecture that scales linearly with core count, avoiding global locks and contention.

#LINEAR_SCALING
VERTICALS

Engineered for the Extreme

01

HFT Trading

Deterministic latency for order matching and high-frequency risk analysis.

02

Real-time Analytics

Process millions of events per second with optimized vector scans.

03

Edge Computing

Highly efficient storage footprint for high-density edge deployments.

04

Vector Search

Memory layouts designed for parallel SIMD processing of large vector indices.

Build the next generation of performance-critical applications.