MongoDB 8.0 vs Redis 8.0: Caching vs Document Store Tradeoffs Modern application stacks rely on specialized databases to handle diverse workloads. Two of the most widely adopted NoSQL solutions are MongoDB, the leading document-oriented database, and Redis, the dominant in-memory data store. With the release of version 8.0 for both platforms, teams face critical decisions about when to use each, especially as Redis expands into persistent workloads and MongoDB adds caching-optimized features. Core Architecture Differences MongoDB 8.0 is a document store that persists data to disk by default, using a flexible JSON-like BSON format to store semi-structured data. It supports complex queries, aggregations, and horizontal scaling via sharding, with native support for secondary indexes and ACID transactions for single documents and multi-document operations. Redis 8.0 is primarily an in-memory key-value store, with support for data structures including strings, hashes, lists, sets, and sorted sets.…