Feast
Feature store — serve ML features consistently
📋 Overview
Feast is an open-source feature store that provides consistent feature serving between training and production — eliminating training-serving skew. Unlike Tecton (which is SaaS), Feast is self-hosted and free. It supports batch and streaming features, point-in-time correct joins, and multiple storage backends.
✨ Key Features
- •6K+ GitHub stars — open-source feature store
- •Point-in-time correct joins
- •Batch and streaming features
- •Multiple storage backends
- •Apache 2.0 licensed
- •Multiple storage backends
- •Training-serving skew elimination
🎯 The Problem It Solves
ML models often fail in production because training features differ from serving features. Feast eliminates this skew by providing a single source of truth for features.
🔧 How It Works
Feast defines features in a central registry — batch features from data warehouses, streaming features from Kafka. It materializes features to an online store (Redis, DynamoDB) for low-latency serving. Point-in-time correct joins prevent data leakage during training.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Point-in-time correctness
- •Batch and streaming
- •Apache 2.0 licensed
- •Multiple storage backends
- •Training-serving skew elimination
- •Active community
❌ Cons
- •Smaller community than Tecton
- •Requires ops to self-host
- •Documentation sparse
- •Self-hosting required
💬 Practitioner Verdict
“Feast is the best open-source feature store — the point-in-time correctness is genuinely differentiated. The trade-off: smaller community than Tecton, requires ops to self-host, and the documentation is sparse. For teams that need a free feature store, Feast is the default.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free Apache 2.0. No paid tier.