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

• https://flagship.cc/en/blogs/columns/takeaways-from-redis
• https://scalegrid.io/blog/redis-monitoring-strategies/
• https://www.altexsoft.com/blog/redis-pros-and-cons/
• https://www.tencentcloud.com/techpedia/105740
• https://usavps.com/blog/139402/
• https://aerospike.com/blog/redis-migration/
• https://moldstud.com/articles/p-are-there-any-limitations-or-drawbacks-to-using-redis-in-development-projects

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