VoltDB / In-Memory Database Blog (Page 17)
by
John Hugg
In my previous post, I described four applications (three implemented, one an example) that require, or at least strongly benefit from, strong ACID transactions. With that out of the way, we can now get to the fun bits.
Today’s claim: most databases that claim to be...
by
Michael Pogany
MaxCDN is a content delivery network (CDN) provider that emphasizes reducing the latency and increasing the reliability of its rich-content delivery. It provides CDN services to digital advertisers, ad networks, publishers, hosting providers, gaming companies, and mobile providers.
The company’s business challenge was to provide customers...
by
John Hugg
There’s a lot of discussion about the value of consistency and ACID transactions in data management. I thought it would be useful to describe three fully implemented enterprise-class applications, and one example application, that need ACID transactions. These descriptions should make an abstract concept a...
by
Peter Vescuso
Jason Stamper, lead analyst at 451 Research, reported today on VoltDB’s newest software release, v6.0. As Stamper points out, v6.0 builds on the foundation of VoltDB’s in-memory, massively parallel architecture. In today’s data-intensive world, your business is only as fast as your database.
We’re thrilled that...
by
Bruce Reading
I recently met with a bunch of VoltDB customers. These are companies in the business of data and developing the next generation of applications – they are at the forefront of an economy driven by data and the datafication of just about everything.
When I talked...
by
Chris Wolff
As part of our 6.0 release, we’ve added new data types and functions that let you work with geospatial data in your applications. If you care about where things are in the real world and how they relate to each other spatially, we have some...
by
John Piekos
VoltDB is already the go-to product for developing fast data applications because of its unparalleled performance, availability, and durability. v6.0 builds on that foundation by extending existing capabilities and simplifying the development process.
What does a VoltDB application look like? Some of the characteristics are:
Applications...
by
John Hugg
Processing big data effectively often requires multiple database engines, each specialized to a purpose. Databases that are very good at event-oriented real-time processing are likely not good at batch analytics against large volumes. Here’s a quick look at another of the Fast Data recipes from...
by
Michael Pogany
Openet, a leading independent supplier of real-time business support systems (BSS), ensures that more than 600 million mobile telecommunications users around the world enjoy the best network and data experience while enabling mobile operators to monetize data use in real-time.
In late 2012, Openet began evaluating...
by
John Hugg
In the VoltDB ebook, “Fast Data: Smart and at Scale,” Ryan Betts and I outline what we have found, through years of work and collective experience, to be tried-and-true design patterns and recipes for fast data.
High-speed transactional applications or operational applications that process a stream...
