Combining SQL and NoSQL databases can offer the best of both worlds, as well as some challenges, such as data integration, synchronization, and governance. Add your perspective ...

Learn how to use SQL and NoSQL data together for advanced analytics such as machine learning and data mining, what are the benefits and challenges, and what are some tools and techniques.

With NoSQL, data can be stored in a schema-less or free-form fashion. Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data, which lead ...

The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...

SQL is a relatively innocent bystander, but, because SQL is a universal feature of the RDBMS, the term “NoSQL” seemed a catchy and convenient tag for these new breed of databases. And, it’s true that, ...

Structured data stored in relational databases has ruled the world for the last 40 years. Over that time, Structured Query Language (SQL) emerged as the standard for accessing and manipulating ...

There are four emerging categories of NoSQL databases available today: Key-Value stores, Column Family databases, Document databases and Graph databases. Each was designed to accommodate the huge ...

Most relational databases had their own native database access methods, which offered superior performance compared to SQL, but over time the performance of SQL has improved and it has become ...