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 ...

Yet another approach was known as a "Key/Value database," which was used both in MUMPS and the PICK systems. The "Relational database" was next. Now we see NoSQL databases becoming popular. Let's look ...

The document database is one of the fastest growing types of NoSQL databases today. It’s a derivation of the key-value store. But instead of storing data in rows and columns, the key value pairs are ...

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 ...

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 ...

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 ...

Pascal Desmarets recently spoke at Data Architecture Summit 2018 Conference about agile modeling and best practices for NoSQL databases.

Document databases, one of the family of data products collectively referred to as “NoSQL,” are for developers who want to focus on their application rather than the database technology.