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ACID: How to screw it up!

February 25, 2016

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 100% ACID compliant fudge definitions, goof up, or deliberately […]

Managing Fast Data in a Content Delivery Network

February 22, 2016

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 with real-time analytics of content delivery in addition to […]

Apps that need ACID

February 18, 2016

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 bit more concrete. “The Last Dollar Problem” Airpush is a […]

451 Research Report “Points & Polygons: Volt Active Data adds Geospatial Support with v6.0”

February 15, 2016

Jason Stamper, lead analyst at 451 Research, reported today on Volt Active Data’s newest software release, v6.0. As Stamper points out, v6.0 builds on the foundation of Volt Active Data’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 451 Research decided to highlight […]

Introducing Volt Active Data v6.0

January 27, 2016

Volt Active Data 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 Volt Active Data application look like? Some of the characteristics are: Applications ingest and process lots of […]

Fast Data Recipe: Design Data Pipelines

January 18, 2016

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 the ebook, “Fast Data: Smart and at Scale” Ryan Betts […]

Openet uses fast data to drive down TCO and support mobile data in real-time

January 14, 2016

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 potential replacements for its database infrastructure, primarily to drive […]

Fast Data Recipe: Integrate Streaming Aggregations and Transactions

January 07, 2016

In the Volt Active Data 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 of incoming events are being built for […]

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