Nebraska.CodeMay 7, 2025

Zhehui (Joe) Zhou presents 'Caching in 2025: The Future of In-Memory Data Stores and How to Pick the Right Solution' July 25th at Nebraska.Code().

https://nebraskacode.amegala.com/

#inmemorydatastore #migrationpaths #dragonfly #AWS #migrationpathways #technology #softwaredeveloper #DragonflyDB #redisplacement #TechnologyConference #Nebraska

Nebraska.Code 2025 hosted on Whova

July 23 – 25, 2025, Lincoln, NE

DragonflyDBMar 10, 2025
Memory efficiency matters! Dragonfly uses 45% less memory for sorted sets than #Valkey and delivers consistently stable performance without throughput drops during rehashing. Read the full #benchmark here: https://www.dragonflydb.io/blog/dragonfly-vs-valkey-benchmark-on-google-cloud #DragonflyDB #Performance #InMemoryDataStore
https://www.dragonflydb.io/blog/dragonfly-vs-valkey-benchmark-on-google-cloud
Dragonfly vs. Valkey Benchmark: 4.5x Higher Throughput on GCP

Dragonfly outperforms Valkey in throughput, performance stability, and memory efficiency, scaling linearly with CPU cores and excelling in high-concurrency, CPU-intensive workloads.

Dragonfly