RedisvsMySQL
- ✦ In-Memory Storage
- ✦ Persistent Storage (RDB/AOF)
- ✦ Pub/Sub Messaging
- ✦ ACID Transactions (InnoDB)
- ✦ Full-Text Search
- ✦ JSON Support
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Redis stores user session data with consistent sub-millisecond GET operations, handling 100K+ requests per second with a single instance where a database session store would create a bottleneck.
MySQL replication routes heavy analytical queries to a read replica, removing contention with write-heavy OLTP traffic and keeping application response times below 100ms during peak loads.
Redis INCR with EXPIRE implements sliding window rate limiting in 2 lines of code, enforcing per-user API quotas without adding a separate rate limiting service.
Redis Pub/Sub broadcasts events to thousands of connected subscribers in under 1ms, enabling real-time dashboards or notifications without polling the database.
MySQL's InnoDB full-text index supports natural language and boolean search queries on text columns without a separate Elasticsearch deployment for basic in-app search needs.
ProxySQL in front of MySQL pools thousands of application connections into tens of database connections, preventing connection exhaustion on deployments that scale web processes horizontally.
Pricing Intelligence
Redis Plans
Free tier available
- • Full Redis
- • RSAL license
- • Community support
- • Managed Redis
- • Free 30MB tier
- • 99.999% SLA
MySQL Plans
Free tier available
- • GPL license
- • Full SQL
- • Community support
- • Commercial license
- • Oracle support
- • Advanced security
Feature Matrix
6 differences found across 10 standardized features
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
- +Sub-millisecond latency — fastest data store for caching
- +Universal — supported by every framework and language
- +Rich data structures for real-time use cases
- +Redis Stack adds search, JSON, and vector capabilities
- −License changed to RSAL — Valkey is the open-source BSD fork
- −In-memory storage makes large datasets expensive
- +Most widely deployed database — abundant expertise and tooling
- +Battle-tested for 30 years on the web
- +HeatWave adds analytics and ML without ETL
- +Available managed on AWS RDS, Azure, GCP
- −PostgreSQL has surpassed it in features for new projects
- −Oracle ownership creates open-source licensing concerns