Some even have native ways to impose constraints on JSON data, so that it is handled with the same rigors as conventional row-and-column data. On the flip side, NoSQL databases are adding not only ...

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience.rn ...

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 ...

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 post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. Document store databases let you manage records that are long and have ...

In similar cases today, one should consider NoSQL databases as an option. Multi-level nesting and hierarchies are very easily represented in the JavaScript Object Notation (JSON) format used by ...

When a developer leverages a document database to support transactional workloads and persistence, they can store/retrieve data much faster. Transactional applications can store/retrieve data with as ...

NoSQL databases: MongoDB MongoDB is just one of the examples of how JavaScript is taking over the world. The program takes data formatted as JavaScript objects (a format known as JSON) and stores ...

NoSQL databases are often associated with "big data" tasks, handling large volumes of data in various forms: Columnar databases, for dealing with massive collections of simple structured data ...

Everywhere you look, there are new NoSQL databases — or “data stores,” if you’re one of those who feel that the word “database” can only be used by proper relational software offering ...