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Cassandra is an available partition-tolerant database originally developed by Facebook. While it is similar to CouchDB in relation to the CAP theorem, it is quite different in others. The querying for Cassandra is not done over HTTP, each language has a native driver that you use to connect directly to Cassandra. Storage-wise Cassandra is a cross between a key/value store and a tabular database. Cassandra is an available partition-tolerant database. You should always be able to read from and write to Cassandra.
Hardware nodes can be added to Cassandra with no added downtime. As your application grows, you can add more hardware and Cassandra will keep running. The consistency of the data in Cassandra can be adjusted but it comes at the expense of the availability of the data. In Cassandra, each key maps to one or more columns, and those columns could be grouped into column families. Cassandra is queried using its own query language, which is similar to SQL. The query language is specifically designed for column groups as well as the adjustable consistency of Cassandra.
Cassandra is very different when compared to CouchDB. It is a cross between a key/value store and a tabular database with adjustable consistency. The structure is oriented around columns in column groups. However, like CouchDB, it is an available partition- tolerant database where new hardware nodes can be added easily.
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