Which one has faster reading speed, mongodb or redis?

Redis’s read speed is faster than MongoDB. Reasons include: 1. Redis uses a simple key-value store, while MongoDB stores data in JSON format, which requires parsing and deserialization. 2. Redis uses hash tables to quickly find data, while MongoDB uses B-tree indexes. Therefore, Redis is a better choice in applications that require high-performance read operations.

MongoDB vs. Redis: Reading speed comparison

Short answer:

Redis is faster than MongoDB in reading speed.

Detailed explanation:

MongoDB and Redis are both popular databases, but they use different data models and storage mechanisms.

• MongoDB: Document database that stores data in JSON format. It uses a B-tree index to find the data, but requires parsing and deserializing the document, which increases read overhead.
• Redis: Key-value storage, stores key-value pairs. It uses hash tables to quickly find data without parsing or deserializing complex objects.

Therefore, Redis reads much faster than MongoDB because it uses a simpler storage mechanism and faster lookup algorithm. In applications that require high-performance read operations, Redis is a better choice.

Here are some specific comparisons:

• Benchmarks: In the Memcached benchmark, Redis reads more than 10 times faster than MongoDB.
• Real use cases: In real-time applications, such as caching and messaging, Redis's read latency is typically in the millisecond range, while MongoDB's latency is in the milliseconds to seconds range.

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