Fennel is a realtime feature platform designed for machine learning, allowing users to author, compute, store, serve, monitor, and govern ML features effectively. Users can easily integrate Fennel with existing data pipelines using standard Python and Pandas without a steep learning curve. Key features include automatic backfilling of pipelines, strong typing, immutability, unit testing, compile-time validation, and data expectation alerts. The tool offers enterprise-grade performance with ultra-low latency serving and ensures data quality through best-in-class tooling. It's also SOC2-compliant and helps reduce cloud costs while scaling effectively to billions of feature queries.
• enterprise-grade security
• low latency serving
• scalable to billions of queries
• data expectation alerts
• compile-time validation
• unit testing support
• immutable and versioned features
• strong typing for data
• automatic backfilling of pipelines
• realtime feature management
Realtime Feature Store for Machine Learning.
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