When should I use Redis database?
- When would you use Redis as a database?
- What is Redis and when to use it?
- When should I use Redis and when to use MySQL?
- Do you need a database with Redis?
When would you use Redis as a database?
Redis can be used with streaming solutions such as Apache Kafka and Amazon Kinesis as an in-memory data store to ingest, process, and analyze real-time data with sub-millisecond latency. Redis is an ideal choice for real-time analytics use cases such as social media analytics, ad targeting, personalization, and IoT.
What is Redis and when to use it?
Redis is commonly used as a cache to store frequently accessed data in memory so that applications can be responsive to users. With the capacity to designate how long you want to keep data, and which data to evict first, Redis enables a series of intelligent caching patterns.
When should I use Redis and when to use MySQL?
Redis can be used as a caching layer over the MYSQL queries. Redis is an in-memory databases, which means, it will keep the data in memory and it can accessed faster as compare to query the data from MYSQL.
Do you need a database with Redis?
Can you use Redis with a disk-based database? Yes, a common design pattern involves taking very write-heavy small data in Redis (and data you need the Redis data structures to model your problem in an efficient way), and big blobs of data into an SQL or eventually consistent on-disk database.
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