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Cache vs. Database: Comparing Memcached and ScyllaDB

Cache vs. Database: Comparing Memcached and ScyllaDB

Published 2 days, 21 hours ago
Description

This story was originally published on HackerNoon at: https://hackernoon.com/cache-vs-database-comparing-memcached-and-scylladb.
A deep benchmark-driven comparison of ScyllaDB and Memcached, revealing when a database can rival a cache in performance.
Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #scylladb-vs-memcached, #memcached-extstore-performance, #database-vs-cache-architecture, #scylladb-shard-per-core-cache, #low-latency-data-infra, #flash-backed-cache-performance, #high-throughput-cache, #good-company, and more.

This story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com.

ScyllaDB and Memcached take different paths to low-latency performance, yet benchmarks show they can converge under real workloads. Memcached excels at lightweight, pipelined key-value access, while ScyllaDB trades higher per-item overhead for persistence, richer data models, and predictable scaling. The right choice depends on workload shape, data size, and resilience needs.

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