NoSQL is an approach to database management that can accommodate a wide variety of data models, including document, graph, key-value and columnar formats. The term NoSQL originally could be taken at ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

Many embedded applications require a database of sorts, but the type can vary widely from ISAM (Indexed Sequential Access Method) to SQL (structure query language). While SQL is readily available on ...

There has been a lot of interest lately in NoSQL databases and, of course, many of us have strong backgrounds and experience in traditional relational "SQL" databases. For application developers this ...

NewSQL and NoSQL have similarities and differences. The “right” database choice is all about the use case, as always. Depending on what your company is trying to accomplish, you likely have a mix of ...

Earlier this year, analyst firm Gartner came up with a name for a category of hybrid processing that it believes will cause upheaval in established architectures. The ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

The database product landscape no longer consists of a handful of relational database management system offerings. Database product consumers can choose from dozens of competing offerings, ranging ...