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NoSQL vs Hadoop


 
Hadoop is a computing framework where as NoSQL is Not Only - SQL databases
Hadoop refers to an ecosystem of software packages, including MapReduce, HDFS, and a whole host of other software packages to support the import and export of data into and from HDFS (the Hadoop Distributed FileSystem).
NoSQL is referring to non-relational or at least non-SQL database solutions such as HBase (also a part of the Hadoop ecosystem), Cassandra, MongoDB, Riak, CouchDB, and many others.
Apache Hadoop is an open-source software framework that supports data-intensive distributed applications, licensed under the Apache v2 license.1 It enables applications to work with thousands of computational independent computers and petabytes of data.
In computing, NoSQL (mostly interpreted as "not only SQL"1) is a broad class of database management systems identified by its non-adherence to the widely used relational database management system model; that is, NoSQL databases are not primarily built on tables, and as a result, generally do not use SQL for data manipulation.
Like Hadoop, NoSQL is also developed for the distributed and parallel computing. The difference is Hadoop is not a database system but is a software ecosystem that allows for massively parallel computing. But, NoSQL is created especially as a database framework. 
They are not the same thing, but are related to data inten. Hadoop is an entire framework (that can be used with NoSQL DBMS like Oracle NoSQL).
 
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