Redis and workalikes are in-memory key-value datastores, more appropriate for real-time transactional workloads. They serve entirely different purposes than Had

Redis and workalikes are in-memory key-value datastores, more appropriate for real-time transactional workloads. They serve entirely different purposes than Hadoop, which is a data analytics platform. Hadoop is targeted towards large "slow" data processing jobs, using a function called "map reduce." Redis and its workalikes are targeted to quick atomic CRUD operations (create, reads, updates and deletes). It's like asking what's the difference between a truck and a Ferrari. They both have engines and steering wheels, right? But totally different workloads.