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NoSQL databases (also called “Not Only SQL databases”) may be a better fit than relational databases if you face one or more of these concerns: The data has little, or inconsistent, structure ...
This was able to happen because the database didn't support consistency in the same way that the large relational database engines (Microsoft SQL Server, Oracle, IBM DB2, Sybase, Informix, etc.) do.
While relational databases still dominate IT budgets, many new development projects are turning to NoSQL databases, which have emerged in recent years to serve all sorts of interesting use cases.
NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.
There are several different types of non-relational databases that fall under the NoSQL umbrella, including key-value stores, document-oriented databases, columnar databases and graph databases ...
Relational databases struggle to manage diverse content types due to their fixed data model. NoSQL databases are able to store rich, complex content with its flexible data model.
NoSQL attacked both relational databases and SQL in the same vein. The main problem this time was that the Internet had destroyed the underlying premise of the 40-year-old relational database ...
These provide some of the things that SQL-based relational databases do but are tuned heavily for handling the demands of big data. VoltDB falls into this category: it's a high-speed SQL database.
Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.
Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg ...
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