CouchDB vs MySQL

• It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
• Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
• Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
• Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.

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• The Community Server edition remains a strong candidate for a SQL-based database solution that supports a wide array of data structures.
• It scales well for both small business and enterprise use.
• It performs very well provided your database schema is well-planned and carefully considered (which is the case for any database solution).
• It has a number of interface solutions including GUI-based ones such as phpMyAdmin and MySQL Workbench that allow for easy management of your databases.

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• NoSQL DB can become a challenge for seasoned RDBMS users.
• The map-reduce paradigm can be very demanding for first-time users.
• JSON format documents with Key-Value pairs are somewhat verbose and consume more storage.

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• MySQL doesn't provide good data wrangling functionalities, such as parsing JSON or XML. We had to transform them outside MySQL on the web application server side using JSP.
• As we move forward to adopt more genomics information, MySQL may lack of dealing with "big data" functionalities.
• It is a freely available S/W and easy to manage budget, but there are possibilities to spend cost for additional technical support.

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• It has saved us hours and hours of coding.
• It is has taught us a new way to look at things.
• It has taught us patience as the first few weeks with CouchDB were not pleasant. It was not easy to pick up like MongoDB.

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• Since MySQL is a free database package, if you have someone on staff that understands databases and how to use them, the ROI is very high when using MySQL.
• If you need to hire a MySQL developer to implement and manage your database then it can be quite costly to manage and that will negatively impact your ROI when using this product.
• Since there are some very expensive alternatives in the SQL database space, if you compare the overall costs of using MySQL to those other products, I think you will find your ROI is always better when using MySQL

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