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

This content originally appeared on HackerNoon and was authored by ScyllaDB

Feature 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.

This content originally appeared on HackerNoon and was authored by ScyllaDB