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Since CouchDB is considered an AP (Available, Partition-Tolerant database management system), it is not really consistent (not all clients can have the same view of the data consistently) and the only way to achieve some "eventual consistency" is through replication and verification of data. See More
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By combining the functionality of the best SQL, NoSQL, and NewSQL products on the market into one powerful tool, HarperDB makes data management easier and more cost effective. Effectively enabling SQL on JSON, users no longer have to choose a database based on the structure of their data. HarperDB was actually written in NodeJS! See More
MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove as many machines as needed. See More
MongoDB queries can be very fast because the data is usually all in one place and can easily be retrieved in a single lookup. But this is true only when the data is truly a document. When it's trying to emulate a relational model it starts to become really slow because it may have to perform many independent queries to retrieve a single document. See More