Some popular NoSQL databases (e.g. MongoDB) wrote great database front-ends and ecosystem tools that made it really easy for developers to adopt, but engineered serious limitations in their ...

Thus, SQL drove the adoption of relational databases to near ubiquity. However, we’ve started to hit the limitations of what relational systems can do. Data no longer follows a uniform structure.

Given the rise in popularity of NoSQL functionality, SQL database vendors have taken notice and are implementing NoSQL-like functionality within their database structure. But before we dive deeper ...

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

The most popular database products today, as reported by DB Engines rankings, are the relational databases Oracle, MySQL and Microsoft SQL Server. Six of the top ten databases today are relational ...

SQL-based relational database systems are indeed as moribund as NoSQL advocates charge, he argued. But this is the fault of the database vendors themselves, not SQL.

A relatively new concept in the world of database systems is the NoSQL DBMS. What is NoSQL? Well, I bet you guessed that it doesn’t use SQL, right? I mean, it is sort of right there in the name. But ...

RDBMS: Relational Database Management System. SQL: Structured Query Language, also used to refer to databases that use SQL as their query language. NoSQL: used to refer to a class of databases that ...

SPRAINed Databases NoSQL, NewSQL and Beyond: The answer to SPRAINed relational databases SPRAIN, used in the above graphic, is an acronym that refers to the six key factors driving the adoption of ...