ikv-store
High-performance key-value store for ML inference, up to 100x faster than Redis.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is ikv-store?
ikv-store is a high-performance key-value store designed specifically for machine learning inference tasks. It offers significantly faster performance compared to traditional stores like Redis, making it ideal for applications requiring low-latency data retrieval.
Key differentiator
“ikv-store stands out as a specialized, high-performance key-value store optimized for machine learning inference tasks, offering unparalleled speed compared to general-purpose stores like Redis.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The primary language is C++, which may require significant effort to integrate with other languages commonly used in machine learning workflows.
Being a niche tool for ML inference tasks, the community around ikv-store is relatively small compared to more established key-value stores like Redis or DynamoDB.
The documentation lacks detailed setup instructions, leading to a complex and error-prone deployment process for new users.
The official documentation does not cover all features comprehensively, making it difficult for developers to fully leverage the tool's capabilities without extensive trial and error.
Fit analysis
Who is it for?
✓ Best for
Teams building real-time inference systems where sub-millisecond latency is critical
Projects requiring a self-hosted, high-performance key-value store for caching and retrieval
✕ Not a fit for
Applications that require complex data querying beyond simple key-value operations
Scenarios where cloud-based managed services are preferred over self-hosting
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Integrations
Next step
Get Started with ikv-store
Step-by-step setup guide with code examples and common gotchas.