Redis (Remote Dictionary Server) is an open source, in-memory data structure storage system that stores data based on key-value pairs. It has the advantages of high performance, low latency, high availability, rich data structure, and scalability. . However, its disadvantages include data volatility, large memory footprint, concurrency limitations, lack of transaction support, and higher cost.
What is Redis?
Redis (Remote Dictionary Server) is an open source, in-memory, data structure storage system. It uses key-value pairs to store data and provides various data structures such as strings, hash tables, lists, and sets.
Advantages of Redis
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High performance: Redis stores data in memory, so read and write operations are extremely fast .
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Low latency: Because the data is in memory, Redis provides very low latency, typically in the millisecond range.
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High availability: Redis provides master-slave replication and sentry functions to ensure high availability and data redundancy.
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Rich data structures: Redis provides various data structures, making it suitable for storing various types of data.
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Scalability: Redis can be scaled through sharding or clustering to handle large amounts of data.
Disadvantages of Redis
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Data Volatility: Redis stores data in memory, so if the server goes down machine, data will be lost.
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Large memory usage: Since data is stored in memory, Redis may occupy a large amount of memory resources.
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Concurrency limitations: Redis is not a highly concurrent database, so it may encounter bottlenecks in high concurrency scenarios.
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Lack of transaction support: Redis does not support transactions and is therefore not suitable for applications requiring transactional operations.
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High cost: The enterprise version of Redis is usually more expensive than the open source version.
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