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Short-term Goals (2-6 weeks)

  • Implement high availability serving support
  • Integrate Spark with Kerberos
  • Enhance performance for historical feature serving
  • Introduce a context object to better inform feature serving
  • Improve user error messages for better understanding

Mid-term Goals (2-6 months)

  • Support descriptions and semantic annotation
  • Enable on-demand features
  • Expand windowing capabilities
  • Introduce Target object to support compute of target variables for ML training
  • Streamline observation set generation through Use Case formulation and automation
  • Streamline feature ideation through automation
  • Implement Text transforms support
  • Develop capabilities tailored for regular Time Series
  • Integrate BigQuery

Enterprise Release (2-4 months)

The Enterprise release is specifically designed to assist organizations seeking to scale their feature engineering capabilities. This will offer a range of advanced functionalities, including:

  • Role-Based Access Control
  • Intuitive Graphical User Interface for seamless collaboration and management
  • Self-organizing Catalog to streamline feature search and experimentation
  • Approval workflow for governance
  • Git integration to manage production-ready features as code


We value your feedback and that of the community, and as such, the roadmap is subject to change based on your inputs. We are excited to collaborate with you in creating a game-changing solution!