“The right tool for the right job.” If such wisdom holds true anywhere, it certainly holds true with the choice of database a developer picks for a given application. Document databases, one of the ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a document store database? Document stores accommodate data that has a ...

Because any database that does not support the SQL language is, by definition, a "NoSQL" database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...

MarkLogic is a document-oriented, distributed NoSQL database from the company of the same name. In the world of MarkLogic, a document is principally an XML file, though MarkLogic can also handle JSON ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Forbes contributors publish independent expert analyses and insights. I decode analytics for business people. The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL ...

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.

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 ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

DocumentDB started as a Postgres add-on before evolving into a standalone project The Linux Foundation’s adoption signals a new era for open document databases MongoDB’s restrictive licensing ...