Tag: NoSQL vs. NewSQL

In 1972, Dr. Edsger Dijkstra wrote “The Humble Programmer,” in which he laid out his ideas about how to best write computer programs. Back in that world, programming was a big problem, particularly because the programmer was constrained by the computing power of the machine. The machines were small; they had limited computing power and […]

Previously in part one of this blog series, I explained the problems with two methods of database interactions. Traditional JDBC-style interactions mean that locking and latching take up ~30% of compute time. This overhead skyrockets when you try to use a distributed system. A NoSQL key-value interaction allows for better scalability, but for non-trivial use cases […]

For decades, relational databases was the de-facto choice for financial service companies, until the 2000s where systems started to face challenges with scalability and availability as the amount of data being processed and consumed shaped how companies conducted their business. NoSQL databases emerged as a reaction to these challenges and while they certainly helped address […]

NoSQL and NewSQL databases are popular solutions in the data management space. We’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if you’re trying to decide which solution to adopt in your organization. NoSQL vs. NewSQL: What’s the difference? NoSQL is a broad category of disparate database […]

Trying to choose a database to solve a problem (or a whole set of them)? Here’s a quick rundown of the advantages – and disadvantages – of NoSQL versus NewSQL. Choosing the right tool for the job at hand is 80 percent of getting to a solution; the other 20 percent is really understanding the […]