ScyllaDB Powers Low-Latency, Scalable Online Feature Stores for Real-Time ML

Written by scylladb | Published 2025/09/18
Tech Story Tags: scylladb-feature-store | online-feature-store | real-time-ml-inference | low-latency-database | feast-integration | machine-learning-features | high-throughput-nosql | good-company

TLDRFeature stores centralize ML features for training and inference, but real-time workloads demand ultra-low latency. ScyllaDB’s shard-per-core design and Cassandra/DynamoDB compatibility make it an ideal online store, supporting single-digit ms queries and petabyte-scale throughput. With Feast integration, teams can avoid vendor lock-in and build scalable, real-time ML apps.via the TL;DR App
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Written by scylladb | Monstrously Fast + Scalable NoSQL. Start Fast. Scale Fearlessly
Published by HackerNoon on 2025/09/18
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