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Tecton

Enterprise feature platform for machine learning

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 scaleβ€”handling both batch and real-time features.

Key Features

  • βœ“ Unified Batch/Streaming: Same definitions for both
  • βœ“ Real-time Serving: Sub-millisecond feature retrieval
  • βœ“ Feature Monitoring: Track drift and quality
  • βœ“ Time Travel: Point-in-time correct features
  • βœ“ Declarative Definitions: Features as code
  • βœ“ Enterprise Scale: Battle-tested at Uber scale

Pros

  • πŸ‘ Most production-ready feature platform
  • πŸ‘ Handles complex real-time features
  • πŸ‘ Strong engineering team (Uber pedigree)
  • πŸ‘ Comprehensive monitoring
  • πŸ‘ Enterprise security features

Cons

  • πŸ‘Ž Enterprise pricing (expensive)
  • πŸ‘Ž Requires significant data infrastructure
  • πŸ‘Ž Overkill for smaller teams
  • πŸ‘Ž 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