HBase and Redis are similar in function. They are all nosql type databases. However, there are still obvious differences between the two in terms of applicable scenarios. The following article will compare HBase and Redis and introduce the differences between HBase and Redis. I hope it will be helpful to you.
Reading and writing performance
HBase writes quickly and reads slowly. HBase’s reading time is usually a few milliseconds, while Redis’ reading time is The acquisition time is usually tens of microseconds. The performance difference is very big.
Data type
Both HBase and Redis support the KV type. But Redis supports richer types such as List and Set.
Data volume
The amount of data supported by Redis is usually limited by memory, but HBase does not have this limitation and can store data that far exceeds the memory size.
Difficulty and ease of deployment
HBase deployment relies on services such as hadoop and zookeeper, while Redis deployment is very simple.
Data reliability
HBase uses WAL to record logs first and then write data. In theory, no data will be lost. Redis uses asynchronous replication of data, and data may be lost during failover.
Application Scenario
HBase is suitable for persistent storage of big data, while Redis is more suitable for caching. If data loss is intolerable, then you can only use HBase; if you need a high-performance environment and can tolerate a certain amount of data loss, you can consider using Redis.
HBase can be used for data solidification, that is, data storage, and it is very suitable for this. Redis is suitable for cache. You can use HBase Redis to implement a data warehouse and cache database, taking into account both speed and scalability.
Based on the above comparison, we can see. Both have their own areas of expertise and cannot replace each other. Which service to use depends on the specific business scenario and data volume to choose the most appropriate solution.
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