1tacnode.io
Tacnode Feature Store
Computes and serves features directly on live system state — no warehouse, no reverse ETL, no sync gap between offline and online feature values.
Visit siteA curated, hand-verified directory of feature store platforms — for defining, storing, sharing, and serving machine learning features consistently across offline training and online, real-time inference.
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Computes and serves features directly on live system state — no warehouse, no reverse ETL, no sync gap between offline and online feature values.
Visit siteA fully managed, purpose-built repository to store, update, retrieve, and share machine learning features across teams and applications.
Visit siteAn open-source feature store that organizations use to store and serve features consistently for offline training and online, low-latency inference.
Visit siteLets data scientists define, manage, and serve machine learning features across an organization with a declarative, Terraform-inspired approach.
Visit siteThe unified AI Lakehouse platform for feature engineering, real-time ML, and production AI, with sub-millisecond online feature retrieval.
Visit siteProvides data teams the ability to create new features, explore and reuse existing ones, publish to low-latency online stores, and build training sets.
Visit siteOptimizes the entire feature lifecycle, allowing feature collaboration, ensuring consistency, and enhancing reliability in feature engineering and deployment.
Visit siteA tool for building feature stores on Apache Spark — transform your raw data into beautiful, declarative, ETL-ready features.
Visit repoEasily engineer online and offline features and share them across teams and ML applications with minimal development and integration effort.
Visit siteAn enterprise-grade, high-performance feature store, battle-tested in production at LinkedIn for years before being open sourced.
Visit repoA next-generation streaming engine that connects AI models to real-time and historical data, built for real-time feature computation at scale.
Visit site