How Databricks Feature Store serves features with sub-second freshness
Summary
Databricks Feature Store now delivers streaming feature updates from Kafka to the online store at 200ms p99 latency, cutting feature staleness from minutes or hours down to milliseconds. The gains come from Spark Real-Time Mode's continuous per-event processing and amortized checkpointing paired with Lakebase's compute-storage separation, which together enable low-latency, high-throughput writes for real-time model inference.
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