Kora
A multi-threaded, embeddable, memory-safe cache engine built on a shared-nothing, shard-affinity architecture. Kora speaks RESP2 on the wire, making it compatible with all Redis clients, while offering advanced features like JSON document databases, HNSW vector search, and change data capture.
Key Features
Multi-threaded Architecture
Shard-affinity I/O with each worker owning both data and connections. Scales linearly with CPU cores.
RESP2 Protocol
Wire-compatible with Redis. Use redis-cli, Jedis, ioredis, or any Redis client out of the box.
Document Database
JSON-native storage with secondary indexes, WHERE queries, and SQL-like operators.
Vector Search
HNSW approximate nearest neighbor search with cosine, L2, and inner product metrics.
Change Data Capture
Per-shard ring buffers with cursor-based subscriptions and gap detection.
Persistence Layer
WAL and RDB snapshots with CRC verification and LZ4-compressed cold-tier storage.
Pub/Sub Messaging
SUBSCRIBE, PSUBSCRIBE, and PUBLISH with glob pattern matching.
Embeddable Library
Same multi-threaded engine runs in-process with zero network overhead.
Quick Start
Performance
Benchmarked on AWS m5.xlarge (4 vCPU, 16GB RAM) with memtier_benchmark and 200 clients:- +66% throughput vs Redis on SET/GET workloads
- +51% throughput vs Redis on pipelined operations
- Sub-millisecond p50 latency across all workloads
Use Cases
High-Performance Cache
Drop-in Redis replacement with multi-threaded performance and linear scaling.
Semantic Search
HNSW vector index for embedding-based similarity search and RAG applications.
Real-time Analytics
Document database with secondary indexes for fast filtering and aggregation.
Event Streaming
Change data capture for building event-driven architectures and data pipelines.
Learn More
Architecture
Understand the shard-affinity design
Configuration
Configure Kora for your workload
API Reference
Explore all available commands