Running the Feast Feature Store with Dragonfly
In this blog post, we explore the seamless integration of Dragonfly as a drop-in replacement for Redis in Feast—an acclaimed feature storage and server project widely recognized in the machine...
Low-Latency Feature Service That Scales Better Than Redis
DragonflyDB delivers sub-millisecond latency and scalable feature serving to ensure timely ML predictions without the Redis complexities like sharding or tuning.
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Your ML Model is Only as a Fast as its Features
Serve features fast. Skip the complexity.
Real-time ML models depend on fast, stable access to fresh features. When feature access is delayed or fails, predictions slow down or worse, break entirely. Redis-based online stores often require manual sharding, suffer from memory issues, and can’t scale as demand grows. These bottlenecks increase latency and limit model performance in production.
DragonflyDB eliminates these risks by delivering features in under a millisecond and handles high load without tuning, sharding, or crashing, so your ML system stays fast, stable, and easy to run.
DragonflyDB
Sub-Millisecond Latency, Crash-Proof Feature Serving for ML Inference
DragonflyDB is a high-performance in-memory storage for ML feature stores. It serves features in under a millisecond, handles millions of queries per second, and stays stable under memory pressure. It's a drop-in Redis replacement and plugs into Feast without code changes or tuning.
When integrated with frameworks like Feast, DragonflyDB’s multi-threaded architecture delivers up to 25x higher throughput than Redis, sub-millisecond latency, consistent feature access between training and serving, and vertical scalability to handle terabyte-scale feature sets. ML teams can deploy faster, reduce infrastructure complexity, and serve real-time predictions without worrying about Redis limitations.
Transform Model Performance into Business Growth
Drive ML Revenue
Sub-millisecond feature serving enables real-time personalization and dynamic pricing that lift conversion rates. Seamless integration with Feast ensures your models respond instantly, turning ML performance into measurable revenue growth.
Reduce Cost & Complexity
Replace Redis clusters with DragonflyDB to handle 25× more throughput using 60% less infrastructure. As a no-code Redis replacement, DragonflyDB scales vertically with no sharding or cluster sprawl.
Win with Customer Loyalty
When ML systems maintain performance under 10x traffic spikes, users trust the platform. DragonflyDB never crashes under memory pressure, turning consistent uptime into customer retention, ensuring real-time predictions work when it matters most.
“We experimented with multiple options, but nothing came close to DragonflyDB. The ease of implementation and performance demonstrated by DragonflyDB were unparalleled."
Eduardo Malpeli
CTO at SmartGPS
Free In-memory Data Resources
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