On October 23rd, 2014, we updated our
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Feature Of Redis
Read – fast
Write – faster
Number Of Set operation – 100000 per seconds
Use REST API
Transaction like Rollback
Able to process 32k-40k requests per second
Hash – different than MongoDB, CouchBase
List – Queues, Stack
Set – All set Operation
Expiry Mechanism for Cache
Redis Cluster Managements
Simple to Configured
Priority to store
Master Slave Relation
Redis Cache Service
Redis Distributed Cluster
Cache Service Users
Weakness of Redis
Loss of data
Redis does not Support larger datasets than RAM
Suitable for cache if RAM is not issue.
Distributed and Centralizes as service.
Better than Mem-cache.
Infrastructure will not commodity hardware.
Near Real Time Cache.
Number inquiry in Minute= 900
Recall size= 4000 per inquiry (worse case)
Inquiries per second= 15
Number of request for Redis= 15 * 4000 (worse case)
Number of request for Redis= 60k
Time Ratio= 3:2