OpenMLDB
An open-source ML database for consistent feature computation in training and inference.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is OpenMLDB?
OpenMLDB is an open-source machine learning database that provides a feature platform to compute consistent features for both training and inference, ensuring accuracy and reliability in model deployment.
Key differentiator
“OpenMLDB stands out by providing consistent feature computation for both training and inference, ensuring the same features are used in development and production environments.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary SDKs are in C++ and Python, with limited support for other languages like Java or Go
Tutorials and examples focus mainly on basic operations; complex scenarios require reverse-engineering the source code
Fit analysis
Who is it for?
✓ Best for
Teams needing consistent feature computation between offline training and online inference
Projects requiring both real-time and batch feature processing capabilities
Developers looking to integrate machine learning features into production systems with low latency
✕ Not a fit for
Users who require a fully managed cloud service without self-hosting
Teams that prefer using proprietary or commercial solutions over open-source tools
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
Works well with
Next step
Get Started with OpenMLDB
Step-by-step setup guide with code examples and common gotchas.