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Redis Showcases High-Throughput Real-Time Data Pattern With Databricks

Redis Showcases High-Throughput Real-Time Data Pattern With Databricks

According to a recent LinkedIn post from Redis, the company is highlighting a technical pattern that combines Databricks Real-Time Mode for stateful event processing with Redis for sub-millisecond data serving. The post describes this architecture as eliminating the need for a separate streaming engine while supporting recommendation workloads at scale.

The LinkedIn post notes production testing in which the setup reportedly handled 100,000 events per second, with recommendations served in under 160 milliseconds at the 99th percentile. The post further suggests that the same design can support multiple AI agents sharing state and coordinating at production scale, positioning Redis as a potential infrastructure choice for emerging agentic and real-time data applications.

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