Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Poke around the infrastructure of any startup website or mobile app these days, and you’re bound to find something other than a relational database doing much of the heavy lifting. Take, for example, ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

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It took a long time for software architects to look beyond structured databases as a solution to common problems, but there is little debate that NoSQL databases have filled a serious void in a ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time. NoSQL promised to upend the database market as big data ...

With so many NoSQL databases to choose from, how can you tell which is best for your data set? Check out this comparison of some of the most popular NoSQL databases. NoSQL databases have been on the ...