Category: SQL vs NoSQL

8 FAQs on VoltDB (from our webinar, “NoSQL vs. NewSQL: Evaluating Database Technologies for 2019”)

VoltDB pre-recorded webinar blog

At our recent webinar, “NoSQL vs. NewSQL: Evaluating Database Technologies for 2019”, we received a number of questions from attendees about VoltDB’s capabilities and architecture. From orchestrating VoltDB with Kubernetes, to comparing VoltDB to TimeScaleDB, here’s a recap on the key questions asked during the webinar. For those who missed the webinar, you may view […]

The Humble Cloud Architect: What is your Cloud Database Strategy?

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 […]

The State of Database Technology, Part 1: Scaleability

Editor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on December 2, 2017. Despite multiple challenger technologies (eg. Object Oriented databases), the relational databases from Oracle, IBM and Microsoft have prevailed supreme for over 30 years. This dominance has however been increasingly challenged by a new [...]

NewSQL in Plain English

Editor’s note: This post is re-posted here by permission from the author. The original post was on LinkedIn on January 10, 2018. The world has changed massively in the past 20 years. Back in the year 2000, a few million users connected to the web using a 56k modem attached to a PC, and Amazon only sold [...]

NoSQL, RDBMS, and Contention for Shared Data: Part 2

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 […]

NoSQL, RDBMS, and Contention for Shared Data: Part 1

architecture contention shared data

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 other technologies gets hung up on such issues as the […]

The Changing Landscape of Databases in Financial Services

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 […]

Comparing Fast Data Performance: A comparison of VoltDB and Cassandra Benchmarks

Benchmark Blog Banner: VoltDB vs Cassandra

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 services, and many other markets. To display the competitiveness […]

Data Consistency – Why You Need an ACID Database in Financial Services

In 2016, we partnered with Research Now to conduct a survey on a subject we take very seriously: data consistency. The results were shocking. While there was wide agreement on what is defined by “critical data” (financial data), only 58% of people surveyed stated that having consistent critical data transactions was vital to their business. […]

  • 184/A, Newman, Main Street Victor
  • info@examplehigh.com
  • 889 787 685 6