Planet NoSQL

"To Embed or Not to Embed. That is the Question."    Hamlet Data modeling is a well defined and mature field in relational database systems. The model provides a consistent framework for application developers to add and manipulate the data. Everything is great until you need to change. This lack of schema flexibility was a key trigger NoSQL database systems.   As we've learned before , both MongoDB and Couchbase are JSON based document database.   JSON gives the developers the schema flexibility; the indexes,  collections, query engine provide access paths to this data;  the developer uses MQL in MongoDB and N1QL in Couchbase to query this data.  Let's compare the modeling methods in Couchbase. Note: T his article is short because the modeling options are similar. That's a good thing. Some differences in modeling options, access methods and optimizations are highlighted below. Query processing on JSON Comparison of modeling options and featu...

  Introduction By any measure, MongoDB is a popular document-oriented JSON database. In the last dozen years, it has grown from its humble beginnings of a single lock per database to a modern multi-document transaction with snapshot isolation. MongoDB University has trained a large number of developers to develop the MongoDB database. There are many JSON databases now. While it's easy to start with MongoDB to learn NoSQL and flexible JSON schema, many customers choose Couchbase for performance, scale, and SQL. As you progress in your database evaluation and evolution, it's easier to start from what you know now. That's the idea for this series. Use your MongoDB knowledge to easily learn and eventually master Couchbase.  Don't despair if you don't know MongoDB do know any one of the RDBMS. This Oracle to Couchbase series will help you learn by comparison.  Many nations are known by their language: French, German, Spanish). Many databases are known for their language...