Time is the enemy of data. Data that has enormous value the moment it’s created will have less value — even no value — an hour, a minute, or even a second from now. And that time-to-value is becoming more urgent every day. Just ask organizations in e-commerce, in financial services, and in energy to name a few. Companies who can ingest the ever-increasing amounts of data coming in — whether it’s customer data, trading data, or sensor data — and act on a transaction opportunity faster than anyone else are the ones who will win.

Today, organizations of all types are trying to gain a competitive advantage or become more effective by devising new ways to identify and act on fast-moving, valuable data. This is what drives the Big Data trend – by ingesting and analyzing large volumes of a variety of data, organizations hope to be able to find and act on every single piece of data at a point of maximum value. And to date, there has been an enormous amount of frustration in this quest because these same organizations have not been able to achieve the velocity required to act on data at anything approximating the point of maximum value: real time. Their systems are simply too slow at data ingestion, analysis and decisioning.

VoltDB solves this critical velocity problem. It is an in-memory relational database that combines high-velocity data ingestion, massive scalability, and real-time analytics and decisioning to enable organizations to unleash a new generation of applications that act on data at its point of maximum value. Organizations in markets ranging from financial services and media, to energy and telecommunications, use VoltDB to narrow the “ingestion-to-decision” gap from minutes, or even hours, to milliseconds. That, in any line of work, is a big deal.


Inside Volt

Velocity = VoltDB