Redis memory constraints limit dataset size and increase costs

As an in-memory store, Redis requires all data to reside in RAM, limiting total dataset size by available memory. Large datasets consume significant memory overhead per instance, creating cost and performance pressure when data grows beyond infrastructure limits.

Sources

• The Redis Exodus: Why We're Returning to Database-Backed Queues
• Redis Monitoring Strategies For 2025
• The Good and the Bad of Redis In-Memory Database - AltexSoft
• What are some common Redis issues? - Tencent Cloud
• In-depth exploration of Redis cache technology and its problems (explanation of redis cache issues) - USAVPS.COM
• 5. Review Redis Version And...
• Are there any limitations or drawbacks to using Redis in ... - MoldStud

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