# How DoorDash Improved Redis to Handle 10+ Million Reads per Second

DevFeed: [How DoorDash Improved Redis to Handle 10+ Million Reads per Second](<https://devfeed.tech/articles/how-doordash-improved-redis-to-handle-10-million-reads-per-second-17970.md>)

Original publisher: [Read original article](<https://newsletter.betterstack.com/p/how-doordash-improved-redis-to-handle>)

Author: Richard Oliver Bray

Published: 2024-12-18T14:03:03Z

Content type: article

Language: en

Sources: [Hacking Scale by Better Stack](<https://devfeed.tech/sources/hacking-scale-by-better-stack.md>)

Topics: [Redis](<https://devfeed.tech/topics/redis.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [personalization](<https://devfeed.tech/topics/personalization.md>)

Tags: [databases](<https://devfeed.tech/tags/databases.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [performance](<https://devfeed.tech/tags/performance.md>), [personalization](<https://devfeed.tech/tags/personalization.md>), [recommendations](<https://devfeed.tech/tags/recommendations.md>), [redis](<https://devfeed.tech/tags/redis.md>)

## AI overview

DoorDash used Redis to support machine-learning search and recommendation systems requiring tens of millions of reads per second. The article explains Redis's performance and cost tradeoffs and describes why DoorDash selected it over Cassandra, CockroachDB, and Scylla.

## Source excerpt

A handful of insanely clever things DoorDash did to make Redis blazingly fast