Company Supports New Enterprise Revenue Streams in Data-Driven Industries Including IoT and Mobility

Tuesday, February 17, 2015.

Organisations everywhere are becoming more reliant on, and more demanding of, actionable insights from real-time data, to take advantage of valuable benefits such as growth in revenue.

An announcement made today by VoltDB has demonstrated the strength of this trend, as the data solution specialist reported success in 2014 which included 104% growth in customer acquisition, 81% increase in revenue, 48% employee growth, an expanded list of partnerships and ‘Best in Class’ performance as measured by the Yahoo Cloud Serving Benchmark (YCSB).

The burgeoning internet of things is one example of where this technological demand is taking shape, as mobile connectivity fuels the dependency on access to applications and data in real-time. As a result, many opportunities will arise to create additional sources of business value. Organisations are looking to VoltDB and its in-memory database to solve their need for real-time, streaming data, with the capacity to run over six billion transactions per day.

By integrating VoltDB's real-time analytics and decision-making capabilities, organisations can help their customers increase revenues, improve consumer engagement and personalise services.

"This is such an exciting time to be in fast data," said Bruce Reading, President and CEO of VoltDB. "Companies need to take advantage of both fast and big data to extract the most value from their data. As more and more devices are connected, that demand will continue to grow, and companies will realise they can not only better meet consumer demand, but also identify new revenue paths, all from data they're generating today."

"We are achieving the reality of real-time, instant response to streaming data," said Jason Stamper, 451 Research Analyst. "Real-time data is no longer out of reach for the majority of companies; rather, more businesses are learning they can, and should, leverage the value that streaming data delivers."