The H speed guide to NoSQL
The rise of the NoSQL movement has brought debate back to the database space as the traditional relational model's applicability to all problems has been questioned, not just in theory, but in practical code. At the heart of NoSQL is not a rejection of SQL itself; some have said NoSQL, rather than standing in opposition to SQL as "No SQL", really stands for "Not Only SQL". It more represents a deeper desire to explore database models which have, in the past and for various reasons, been left to languish in obscurity.
But this is not the first time SQL using relational databases have been challenged; in the nineties, Object Oriented Databases turned up and offered what appeared to be a way to relieve developers of converting their data objects into rows and columns. But in practice, the Object Oriented Database implementations were often complex and fragile leaving disillusioned developers to look for better ways again. What emerged were better Object Relational Managers, which took care of more of the work of converting data objects to a relational form whilst keeping the interoperable SQL database at its core.
The difference with the NoSQL movement is that much of the innovation has come from practical developments often leveraging the power of open source development, rather than theoretical positioning. NoSQL is not, though, a panacea for all database needs.
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