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  • Distributed Session Store: Offers flexible session data modeling (string, JSON, hash).
  • Data Structure Server: Provides low-level data structures (strings, lists, sets, hashes, sorted sets, JSON, etc.) with high-level semantics (counters, queues, leaderboards, rate limiters) and supports transactions & scripting.
  • Performance: Because Redis keeps data primarily in memory and uses efficient data structures, it achieves extremely low latency (often sub-millisecond) for both read and write operations. This makes it ideal for applications demanding real-time responsiveness.
  • Flexibility: Redis isn’t just a key-value store, it provides native support for a wide range of data structures and capabilities 4629193 listed in What is Redis?
  • Extensibility: Redis is not limited to the built-in data structures, it has a modules API that makes it possible to extend Redis functionality and rapidly implement new Redis commands
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