Couchbase vs Azure SQL Database

• 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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• Scalability is #1: if it used to be an almost no-win endeavour to try to modernize your server or migrate to other hardware, with Azure SQL Database it becomes a press of a button.
• All the tools simply work after you are on Azure SQL Database.
• The applications do not need changes in order to start using Azure SQL Database.
• Hybrid Cloud scenarios will work.
• Clustering and failover - already there.
• You can start monitoring the use and extract performance insights in a new way in Azure.

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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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• A little slow on processing complex or large Views. We use a lot of Views to feed our BI system, and the processing time could see some improvement, IMHO.
• Additional monitoring components would be nice too, automating some built in performance measurement tools would be a nice feature.
• Price can always be improved as well. It’s not bad, but room for improvement.

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• We can implement the mobile app using community release.
• The peer to peer syncing technology saves our development time.
• The CRUD process will be stopped when index and view are growing rapidly, we have to delete index files and reindex again.

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• Azure SQL Databases are a great solution and with the Azure pricing model, you can reduce costs in most scenarios. They also have added intrinsic value by the products nature of being scale-able to the current task (i.e.- a short term need for more processing power).

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