Of course, MongoDB isn’t the only option for this kind of real-time analytics implementation. We saw plenty of developers doing something similar with HBase at HBase Con 2012 in May.

CouchDB requires the usage of MapReduce while MongoDB allows for more dynamically oriented queries (MongoDB also supports MapReduce). Can you dig it? Looking to spin up Continuous Integration quickly?

MapReduce views can be as simple as allowing document searches on an inner field, or they can include more complex logic that performs calculations and aggregations on the data within documents.

"MapReduce jobs can pass queries as filters, so avoiding the need to scan entire collections, and can also take advantage of MongoDB's rich indexing capabilities including geospatial, text-search, ...

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.