The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

McObject Improves Performance of eXtremeDB Financial Edition and Eases Development with Version 6.0

McObject, a provider of low latency, high performance database management technologies, will release eXtremeDB Financial Edition version 6.0 today. The new version is a major upgrade including support for big data management for capital markets analytics and access to the database’s vector-based statistical functions using SQL and Python.

Version 6.0 of eXtremeDB Financial Edition has been tested by several McObject users and is now in production. Existing users of the software can upgrade under the company’s standard support and maintenance programme, while others looking for a high performance database with extensive functionality are expected to join them.

Upgrades to eXtremeDB Financial Edition that support big data processing include a distributed query processing capability that partitions a database across multiple servers and distributes query processing across multiple CPUs to achieve parallel computing that can deliver significantly improved processing performance.

The upgrade also adds the run-length encoding compression algorithm that reduces the size of stored market data, in turn reducing storage costs and accelerating processing. McObject says tests using the market data compression facility with Chicago Board Options Exchange Market Volatility Index tick data reduced the data to a quarter of its pre-compression size and increased the speed of reading the database by 21%.

eXtremeDB Financial Edition version 6.0 also extends the software’s library of vector-based statistical functions to about 200 functions that are pipelined in CPU cache to minimise latency when analysing market data. The company already offers access to the library using its own application programming interface, but in Version 6.0 adds access using the SQL and Python languages.

The addition of SQL, which can be used in applications written in languages including C++, Python, Java and C#, enables faster development and increases the pool of developers with skills to work with the database system. The inclusion of Python adds a language that supports fast deployment of tasks such as rapid prototyping. Python can also be used with eXtremeDB’s dynamic database definition language to implement ideas quickly and optimise them rapidly by testing changes to code, database tables and indexes.

Chris Mureen, chief operating officer at McObject, says uses of eXtremeDB Financial Edition span from algo trading to matching engines, order books and risk management, a sweet spot for the company’s technology. Looking forward, he expects eXtremeDB Financial Edition to be particularly suited to algo trading and risk management applications that often analyse terabytes of data. While most of McObject’s customers are based in the US, the company has a couple of users in India and China, and recently signed MCO Europe as its exclusive distributor in Europe.

Related content

WEBINAR

Recorded Webinar: Approaches to migrating market data to the cloud to drive agility in trading operations

Market data in the cloud is an attractive proposition in terms of reducing the cost of on premise servers and storage, and moving into a more agile and flexible data delivery environment. It is also well suited to working from home, the fall-back of many financial institutions during lockdowns caused by the coronavirus pandemic. But...

BLOG

Electronification in Fixed Income – Where is it Headed?

By Mike O’Hara, Special Correspondent. As we approach the third anniversary of its implementation date, the impact of the EU’s MiFID II continues to be felt around the world as global players adopt key measures as a form of best practice. Part of its wide remit to recast the mould for European institutional financial markets...

EVENT

Data Management Summit Virtual

The Data Management Summit Virtual will bring together the global data management community to share lessons learned, best practice guidance and latest innovations to emerge from the recent crisis. Join us online to hear from leading data practitioners and innovators from the UK, US and Europe who will share insights into how they are pushing the boundaries with data to deliver value with flexible but resilient data driven strategies.

GUIDE

Regulatory Data Handbook – Fourth Edition

Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A...