Couchbase vs Redis

• Key/value data store. Couchbase is blazing fast at data access and retrieval when you know what keys you want to access.
• Data querying with N1QL. If you have your indexes set up right, searching your unstructured data can be really fast too.
• Management dashboard. The Couchbase platform has a great admin panel that provides tons of insights into how your cluster is performing.

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• Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
• Reliable. With a proper multi-node configuration, it can handle failover instantly.
• Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
• Fast. We process tens of thousands of RPS and it doesn't skip a beat.

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• Should allow servers to change their roles on the fly - currently you will need to take down the server and re-assign roles
• SDK documentation is not as helpful and should have more examples
• No pre-compiled procedures - unlike in SQL Server, Couchbase does not have pre-compiled stored procedures therefore we have to run various test to optimize our application

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• We had some difficulty scaling Redis without it becoming prohibitively expensive.
• Redis has very simple search capabilities, which means its not suitable for all use cases.
• Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.

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• The ease of deployment and scalability withing Couchbase has been a great asset to our teams, allowing us to deploy a solution in Couchbase in 20 mins.
• We have yet to deploy an existing application into Couchbase, but hope to see massive performance improvements once we do so.
• New deployments have gone smoothly as we have transitioned to using Couchbase for new product offerings.

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• Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides.
• Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues.
• Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment.

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