veri
Scalable Feature Store for efficient data management and retrieval.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is veri?
Veri is a scalable feature store designed to manage and retrieve features efficiently. It helps in building robust machine learning pipelines by providing reliable storage and access mechanisms for feature data.
Key differentiator
“Veri stands out as a self-hosted, scalable feature store that integrates seamlessly into Python-based machine learning workflows, offering efficient storage and retrieval mechanisms.”
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 development is in Python with minimal official support for other languages
GitHub issue response times are often over a week, low number of contributors
Fit analysis
Who is it for?
✓ Best for
Teams needing scalable storage for feature data in their machine learning pipelines
Projects that require efficient retrieval of feature data without compromising on performance
✕ Not a fit for
Real-time streaming applications requiring immediate access to features (batch-oriented architecture)
Applications with very strict latency requirements where every millisecond counts
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
Works well with
Next step
Get Started with veri
Step-by-step setup guide with code examples and common gotchas.