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HomeDatabaseRedisHow much faster is redis than mysql
How much faster is redis than mysqlApr 19, 2024 pm 11:04 PM
mysqlrediskey value pair

Redis is orders of magnitude faster than MySQL because it stores data in memory, uses simple data structures, and adopts a single-threaded model, which improves concurrency. Redis is suitable for scenarios that require high-speed reading and writing, such as caches, counters, and rankings, while MySQL is suitable for scenarios that require complex queries, transactions, and relational data modeling.

How much faster is redis than mysql

How much faster is Redis than MySQL

Redis and MySQL are two different databases, and they are suitable for different Example. Redis is an in-memory database, while MySQL is a relational database. Generally speaking, Redis is faster than MySQL because it does not require disk access for data operations.

Speed ​​comparison

Redis is several orders of magnitude faster than MySQL. According to [Redis Official Benchmarks](https://redis.io/benchmarks), Redis reads 100-1000 times faster than MySQL and writes 10-100 times faster.

Cause

The speed advantage of Redis is due to the following reasons:

  • In-memory data storage: Redis will Data is stored in memory, while MySQL stores data on disk. Accessing memory is much faster than accessing disk.
  • Simple data structure: Redis only uses simple data structures such as key-value pairs. This makes data manipulation faster than MySQL using complex table structures.
  • Single-threaded model: Redis uses a single-threaded model, which means it only handles one request at a time. This improves concurrency because threads don't have to compete for resources.

Usage scenarios

Redis is suitable for scenarios that require high-speed reading and writing, such as:

  • Cache
  • Counter
  • Ranking
  • Session Management

MySQL is suitable for scenarios that require complex queries, transactions and relational data modeling, such as:

  • Order processing
  • Customer relationship management
  • Data analysis

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