VoltDB / In-Memory Database Blog (Page 7)
by
Madhup Mishra
Forrester recently published a new Wave™ report on Translytical Data Platforms. In it, they define a Translytical Data Platform as:
“A unified and integrated data platform that supports multi-workloads such as transactional, operational and analytical simultaneously in real-time, leveraging in-memory capabilities including support for SSD, Flash...
by
Ruth Morgenstein
The internet is ablaze with articles and talk about hardware security flaws found recently in most modern processors, including chips from Intel and AMD - that is, in the processors used by everyone who runs software to provide a service. In other words, all of...
by
VoltDB Blog Staff
...and What they Say About the Future
Happy 2018 everyone!
In keeping with the tradition of reflection at the start of a new year, we at VoltDB decided to take a look back at the highlights on our database blog from 2017.
Here are the top 5 performers...
by
David Rolfe
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...
by
David Rolfe
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...
by
VoltDB Blog Staff
It’s that time of year — the “wrap up/planning” blogs are among us as we look to a new year.
With that, VoltDB has decided to put together a few tips and recommendations to consider when evaluating database technologies in 2018. Whether you’re in the market...
by
VoltDB Blog Staff
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...
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VoltDB Blog Staff
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...
by
John Wiebe
In this post we describe VoltDB’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...
by
John Piekos
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,...
