Overview
Tecton is the enterprise feature platform built by the team that created Uber's Michelangelo ML platform. It provides a complete solution for feature engineering, storage, and serving at scaleβhandling both batch and real-time features.
Key Features
- β Unified Batch/Streaming: Same definitions for both
- β Real-time Serving: Sub-millisecond feature retrieval
- β Feature Monitoring: Track drift and quality
- β Time Travel: Point-in-time correct features
- β Declarative Definitions: Features as code
- β Enterprise Scale: Battle-tested at Uber scale
Pros
- π Most production-ready feature platform
- π Handles complex real-time features
- π Strong engineering team (Uber pedigree)
- π Comprehensive monitoring
- π Enterprise security features
Cons
- π Enterprise pricing (expensive)
- π Requires significant data infrastructure
- π Overkill for smaller teams
- π Learning curve for full capabilities
Best For
Enterprise ML teams with real-time feature requirements and scale. Ideal when feature engineering is a bottleneck and you need production reliability.
Founded: 2019 HQ: San Francisco, CA