Category: Volt Capabilities

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,…

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…

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…

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…

One of the key tasks during initialization of a Volt Active Data cluster is determining cluster topology. The topology includes placement of the partition masters and replicas on physical Volt Active Data nodes. Once determined, the topology does not change unless node…

A couple of weeks ago, an interesting issue came up in the field. The symptom was that the resident set size (RSS) of the Volt Active Data process would keep growing when the database was idle. The symptom only manifested itself on…