NoSQL, RDBMS, and Contention for Shared Data: Part 1
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 […]
8 Tips for Evaluating a Database in 2022
It’s that time of year — the “wrap up/planning” blogs are among us as we look to a new year. With that, Volt Active Data has decided to put together a few tips and recommendations to consider when evaluating database technologies in 2018. Whether you’re in the market for some new technologies now or simply […]
Microservices – What CSPs can Learn From IT
CSPs are in a critical period of transformation right now. Omnipresent connectivity is driving new disruptive business models which are further driving up demands on the networks. Virtualization of appliances and systems is seen as a necessary step to add the agility to meet these increasing and evolving service demands. As vendors and CSPs are […]
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 […]
Volt Active Data Bonded Network Compatibility
In this post we describe Volt Active Data’s high availability architecture and how it interacts with bonded networks. Together they offer protection and continuity against network failovers. How do we know? Because we tested it and describe the tests we ran to verify compatibility with various bonded network modes. What Is a Bonded Network? Bonded [...]
4 Sources of Latency and How to Avoid Them
Editor’s Note: This post originally appeared on November 1, 2017 on the InfoWorld blog. It is republished with permission. Even Google and Amazon can’t process data instantly—here’s how to combat latency in your real-time application Despite all the advances we’ve seen in data processing and database technology, there is no escaping data’s Public Enemy No. […]
