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

A-Team Insight Blogs

Talking Intelligent Trading with Andrew Delaney: Deploying Fast DBMS Across the Trading Enterprise

The recent STAC report on McObject’s eXtremeDB Financial Edition 7.0 database management system gives trading infrastructure and application developers cause for hope on two levels: performance and price. And this in turn raises the very real prospect of deploying high-performance database management technology in functional areas throughout the trading and risk landscape.

According to McObject CEO and founder Steve Graves – visiting London last week from his base in Seattle – the latest STAC benchmark places eXtremeDB above its closest competitor in terms of performance. The STAC-M3 Benchmark test awarded eXtremeDB fastest overall time to complete the benchmark’s 17 tests. It also recorded best-ever results for speed and consistency of results (low jitter) in individual tests.

STAC performed the baseline STAC-M3TM Benchmarks on a stack involving McObject’s eXtremeDB Financial Edition 7.0 hosted on an IBM Power System S824L server with two 12-core IBM POWER8 CPUs and 6 HGST Ultrastar® SN150 NVMe PCIe SSD drives. The benchmark implementation was written largely in Python using SQL calls via TCP/IP to the database engines.

According to McObject, “The combination of eXtremeDB and the POWER8 system achieved new records in a set of 17 STAC-M3 tests, including the best-ever results for jitter. Adding together the mean response times for these 17 tests, eXtremeDB on POWER8 took 44% less time than the nearest competitive solution while using just one-third the number of cores. This solution provides a significant cost/performance benefit to clients in the financial industry.

“These new STAC-M3 results bested standing performance records in 6 of the 17 tests, and set records for lowest standard deviation of results (lowest jitter) in five of 17 tests. The results build on previous record-setting STAC-M3 implementations by McObject and IBM that, when combined, hold 16 of the 17 test performance records when compared to all other solutions using non-clustered two-socket servers.”

These results, McObject says, “demonstrate the value of eXtremeDB and the IBM POWER8 system for analytics and big data workloads in capital markets, where low-latency and low-jitter are key attributes.”

Graves points out that the STAC results relate to a full-on database management system, while many incumbent high-performance databases are in effect stripped down versions, with little or nothing by way of value-added functionality.

But more than that, Graves says, McObject’s per-server license pricing model makes eXtremeDB affordable to a far wider audience than its competitors. These providers, Graves says, often price their platforms based on core, sockets and gigabytes of memory. This can prove expensive as firms scale up their infrastructures, particularly in the high-performance trading environment.

He believes McObject’s pricing model makes both capital expense – in terms of start-up investment – and operating expense – in terms of ongoing maintenance – significantly lower.

This, Graves reckons, makes eXtremeDB suitable far beyond its core target audience of ticker plants, matching engines and algorithmic trading applications. These include a growing interest from the risk management segment and other enterprise applications for which high-performance database management systems have been too expensive.

Case in point is Shenzhen Kingdom Technology Co. Ltd., the largest financial securities software developer and systems integrator in China’s domestic market and McObject’s newly announced client. Shenzhen Kingdom has deployed new order execution system products, VIP Quick Order and VIP Stock Options, incorporating eXtremeDB. Based on its present dominant market share, Shenzhen Kingdom expects 40% of professional traders in China to adopt the new systems within two years.

Shenzhen Kingdom says it developed the new systems to meet growing demand for trading speed and throughput, brought about in part by the rise of automated trading. Existing trading systems incorporated on-disk DBMS technology, which imposed disk and file I/O that limited the systems’ performance to 3,000 trades per second. On-disk DBMSs, which still make up the vast majority of database systems used by corporations, are premised on persistent storage. In contrast, in-memory database systems (IMDSs) work with data entirely in main memory – they never go to disk. Shenzhen Kingdom’s use of eXtremeDB’s IMDS capability enables the new order management systems to process as many as 38,000 trades/second.

“It’s less about low latency,” Graves says, “and more about the volume of data. And the applicability of that is very broad. It used to be 10s of opportunities at any given firm; now it’s more like 100s.”

This, of course, is a theme close to our hearts. We’ll be exploring how high-performance technologies like McObject’s can be deployed in the broader trading environment at our Intelligent Trading Summit in London on February 4. You can check out the latest agenda here.

Registration is free for qualifying financial institutions, and there are still sponsorship and exhibit opportunities available. Come along and hear about how high-performance technologies are helping professional add intelligence to their trading infrastructures.

Related content


Upcoming Webinar: Integrating Intelligent Machine Readable News

Date: 30 November 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Intelligent machine readable news is a powerful tool in the arsenals of trading and investment firms seeking competitive advantage. It turns unstructured data into actionable insight and can be used, for example, to uncover market trends, identify correlations and...


Glue42 Teams with Cloud9 to Integrate Voice Trading into Desktop Applications

London-based desktop automation specialist Glue42 has partnered with voice communication and analytics provider Cloud9 Technologies to deliver a full suite of voice trading capabilities to the institutional marketplace. The partnership aims to provide users with remote access to all trading floor connectivity and services, as well as secure access to voice data, counterparties and regulatory...


RegTech Summit New York City

Now in its 5th year, the RegTech Summit in NYC explores how the North American financial services industry can leverage technology to drive innovation, cut costs and support regulatory change.


Trading Regulations Handbook 2021

In these unprecedented times, a carefully crafted trading infrastructure is crucial for capital markets participants. Yet, the impact of trading regulations on infrastructure can be difficult to manage. The Trading Regulations Handbook 2021 can help. It provides all the essentials you need to know about regulations impacting trading operations, data and technology. A-Team Group’s Trading...