New eXtremeDB Financial Edition Version 6.0 Ramps Up Database System's Speed, Scalability and Development Simplicity

FEDERAL WAY, WA--(Marketwired - Oct 27, 2014) - McObject^® announced it has released eXtremeDB^® Financial Edition version 6.0, a major upgrade of its database system for capital markets applications such as algorithmic trading and risk management. Improvements include access to eXtremeDB Financial Edition's most powerful capabilities from the widely-used SQL and Python languages, unleashing productivity by simplifying development and, as a result, reducing costs and slashing time-to-deployment. Version 6.0 also tackles the challenge of Big Data in financial systems with new features including distributed query processing and specialized market data compression, to streamline handling of real-time and historical databases that today grow beyond one trillion records.

"In STAC-M3 benchmarks and other tests, eXtremeDB Financial Edition has shown it can deliver the lowest latency in processing market data. Version 6.0 builds on this core strength, with some improvements accelerating performance, others increasing cost-effectiveness, and several new features doing both. Major companies in capital markets are already leveraging the improvements in eXtremeDB Financial Edition 6.0. McObject looks forward to helping additional customers tackle their toughest financial computing challenges as the upgrade goes into general release," said Steve Graves, McObject co-founder and CEO.

McObject will be presenting performance results using eXtremeDB Financial Edition 6.0 at 2014 STAC Summit conferences in London (October 30), Chicago (November 4) and New York (November 13).

Graves provided details on the improvements in eXtremeDB Financial Edition 6.0 as follows:

Vector-based statistical functions in SQL, Python.

A defining feature of eXtremeDB Financial Edition is its library of vector-based statistical functions, which are pipelined in CPU cache to minimize latency when analyzing market data. In version 6.0, the product introduces the ability to use its vector-based functions from within SQL, a database language that is nearly universal in enterprise computing. This vastly increases the pool of developers whose existing skills permit quick adoption of McObject's database system.

SQL can be used in applications written in languages including C/C++, Python, Java and C# (.NET) and also on its own, via a command-line interface. Its high level of productivity for creating code that interacts with database systems enables faster development in a field where timing can be a key competitive advantage. McObject's video gives a practical example of using vector-based functions from within SQL.