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....
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...
First off: I’m not here to bash NoSQL. NoSQL came into existence for a good reason — your generic legacy SQL RDBMS is often slow and expensive when compared to NoSQL alternatives. But much of the discussion I’ve seen about NoSQL, NewSQL, Legacy RDBMS and...
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...
Introduction NoSQL databases, such as Apache Cassandra, are often used in operational applications. However, a new breed of databases, such as VoltDB, are revolutionizing the fast data landscape. VoltDB is an in-memory NewSQL transactional database for fast data applications, currently in use by major telcos, financial...
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...
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...