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The difference between redis database and mysql database

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Differential comparison: Redis is a memory-based key-value store with extremely fast data access speed and is usually used in scenarios such as caching; MySQL is a relational database with data stored on the hard disk and is suitable for applications that require persistent storage. and powerful query functions.

The difference between redis database and mysql database

The difference between Redis and MySQL databases

Redis and MySQL are two popular databases. They are different in functionality, There are differences in usage and storage methods.

Storage method

  • Redis: Memory-based key-value storage, data is stored in the computer's RAM.
  • MySQL: Relational database, data is stored on the hard disk or SSD.

Data structure

  • Redis: Supports a variety of data structures, including strings, hashes, sets, and Sorted sets and bitmaps.
  • MySQL: Based on the table, each row represents a record and each column represents an attribute.

Data access

  • Redis: Memory access is extremely fast, usually on the millisecond level.
  • MySQL: Hard disk access speed is slow, usually ranging from a few milliseconds to a few seconds.

Scalability

  • Redis: Can be expanded horizontally through sharding, but vertical expansion is limited by the server's Memory Capacity.
  • MySQL: Can be scaled vertically and horizontally through master-slave replication or sharding.

Usage scenarios

  • #Redis: Usually used for caching, session storage, message queues, and where fast data access is required scene.
  • MySQL: Ideal for scenarios where large amounts of persistent data need to be stored, such as online transaction processing (OLTP), data warehouses, and enterprise applications.

Other differences

  • Persistence: Redis provides partial durability, while MySQL provides full durability.
  • Query function: MySQL provides powerful query functions, while Redis’s query functions are weak.
  • Concurrency: Redis supports high concurrent access, while MySQL may require additional optimization for high concurrent operations.

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