How to Keep Cache and Database Consistent: 4 Common Strategies and Their Pitfalls

This article examines the double‑write consistency problem between databases and caches like Redis, explains why naïve cache‑first or DB‑first updates can cause stale or phantom data under high concurrency, and evaluates four practical solutions with detailed trade‑offs and recommended retry mechanisms.

Cache Consistencydatabasehigh concurrency

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How to Keep Cache and Database Consistent: 4 Common Strategies and Their Pitfalls

Sohu Tech Products

Jun 8, 2022 · Databases

Cache Working Mechanisms and Consistency Solutions Using Redis

This article explores Redis cache mechanisms, various caching patterns such as Cache‑Aside, Read‑Through, Write‑Through and Write‑Behind, analyzes consistency challenges in write operations, and presents solutions like delayed double deletion, retry mechanisms, and binlog‑based asynchronous cache invalidation to achieve eventual consistency.

Cache ConsistencyDistributed Systemscache-aside

0 likes · 18 min read

Cache Working Mechanisms and Consistency Solutions Using Redis

Top Architect

Oct 4, 2021 · Fundamentals

Understanding Cache: Concepts, Mechanisms, and Consistency

This article provides a comprehensive overview of cache memory, explaining why caches are needed, their placement strategies, operation principles, replacement policies, write handling methods, and coherence protocols such as MESI, offering essential knowledge for computer architecture and system design.

CacheMESIMemory Hierarchy

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Understanding Cache: Concepts, Mechanisms, and Consistency