Open source data has a split personality. There’s the NoSQL zealot who likes to fire off tirades against the restrictive world of relational databases, then there’s the MySQL devotee who’s a ...

NoSQL and Hadoop-two foundations of the emerging agile data architecture-have been on the scene for several years now, and, industry observers say, adoption continues to accelerate-especially within ...

Oracle's take on the distributed key-value data store is enterprise ready and practically ACID. Could this be the NoSQL data store for the buttoned-down business crowd? [Originally published on ...

Reviewing the history of databases, we quickly see that there have been many different approaches applied to address developer needs to store and retrieve different types of data. I can recall many ...

Time series databases provide optimum support for working with time-dependent data. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data ...

Although NoSQL has generated some noise of late, SQL continues to win in the marketplace and continues to earn investment and adoption throughout the big data problem space.

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.

The paper opens with observations that NoSQL databases are generally built to handle certain data models. Tencent admits it ran several of them to power its fleet of products – social networks ...

NTT Data, the large Tokyo-based global IT services provider, today announced that it has made a strategic investment in database provider MarkLogic. The two companies declined to reveal the size ...

In a dynamically typed language, is it a bad idea to return different data types? In some cases, returning different types from a single function works.