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VoltDB Announces Next-Generation Velocity Database to Enable a New Class of High-Value Big Data Applications
VoltDB 3.0 Delivers Unprecedented Throughput, Performance and Usability Enabling Unique and Differentiated Business Value in Big Data
By: PR Newswire
Jan. 22, 2013 10:10 AM
BILLERICA, Mass., Jan. 22, 2013 /PRNewswire/ -- VoltDB, the world's fastest high-velocity database, today announced the immediate availability of the newest version of its flagship offering, VoltDB 3.0.
VoltDB is an in-memory relational database designed specifically to solve the big data velocity problem. Despite the deafening hype around big data, most enterprises have not been able to build applications that can ingest, analyze and act on massive volumes of data fast enough to deliver business value. VoltDB solves this problem by narrowing the "ingestion-to-decision" gap from minutes, or even hours, to milliseconds.
"With every passing second, time saps the value of data. This is why so many big data applications have not delivered business value – it simply takes too long to analyze and identify actionable information in the morass of data," said Ryan Hubbard, CTO of Yellowhammer. "VoltDB has solved this problem for Yellowhammer. For the first time, we can ingest, analyze and decision on data in real time. This capability opens a new world of possibilities for applications that truly deliver competitive advantage."
Purpose built for high velocity big data applications, VoltDB enables real-time visibility into the data that drives business value. With these industry first capabilities, VoltDB is making it possible for developers to create an entirely new generation of big data applications, with application functionality that could not be realized with traditional database offerings.
"For big data to reach its full potential, developers must have the ability to solve the data velocity problem," said VoltDB President and CEO Bruce Reading. "VoltDB is the first company to solve this problem by designing an innovative architecture that leverages current hardware while marrying the structure and consistency one associates with relational databases with the speed and scalability of an in-memory database. This has enabled our customers to create the first generation of big data applications that truly deliver tremendous and immediate business value for their customers."
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