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

A-Team Insight Blogs

McObject, Dell, Mellanox, Kove Set Record STAC-M3 Benchmarks

McObject with its eXtremeDB Financial Edition database has set record STAC-M3 benchmarks running on a hardware platform provided by Dell, Mellanox and Kove.  eXtremeDB is just the second database to be featured in published STAC-M3 benchmarks, the other being Kx Systems’ kdb+. 

STAC-M3 – as administered and audited along with other benchmarks by the Securities Technology Analysis Center – covers the management and processing of financial time series data, such as a history of trade and quote data.

eXtremeDB Financial Edition is an in-memory/hard disk hybrid database, featuring column-oriented data storage and a library of vector-based statistical functions, to store, retrieve and analyse time series data. Its origins are as an embedded database for such diverse uses as set top cable TV boxes to military jets.

For the benchmarks, McObject set out to reconstruct the same ‘Stack Under Test’ used to run earlier benchmarks on kdb+. The stack includes a Dell PowerEdge R910 server, Mellanox InfinBand networking and a Kove XPD L2 RAM storage device.  That combination is offered by Dell as its High Performance Database System.

Running with eXtremeDB, the stack achieved the lowest mean response times reported for 15 of 17 STAC-M3 benchmarks. As one example, the Market Snapshot benchmark with 10 concurrent queries on a set of symbols to return latest trade and quotes, mean latency was 184 milliseconds, compared to 360 milliseconds when the benchmark was run on kdb+. McObject executives suggest that the stack achieved overall performance of around twice that of the kdb+ benchmarks. Standard deviation for benchmarks were also record lows, demonstrating the determinism of the package.

More information on the STAC-M3 eXtremeDB benchmark is here.

Related content

WEBINAR

Recorded Webinar: Embedding AI & Machine Learning into your trading operations

It’s no secret that AI and Machine Learning are changing the landscape of the trading industry. As these tools and techniques become more mainstream, their availability to even the smallest of financial firms is becoming a more viable proposition.  From speech recognition and natural language processing (NLP) to deep learning algorithms and predictive analytics, these...

BLOG

S&P Global Acquisition of IHS Markit Creates Financial Data and Analytics Powerhouse

S&P Global’s $44 billion acquisition of IHS Markit will create a financial data and analytics powerhouse capable of challenging Bloomberg’s market leading $11 billion revenue and towering over the proposed $27 billion acquisition of Refintiv by the London Stock Exchange (LSE). The combined company will benefit from increased scale, a wider product portfolio and a...

EVENT

Data Management Summit London

The Data Management Summit Virtual explores how financial institutions are shifting from defensive to offensive data management strategies, to improve operational efficiency and revenue enhancing opportunities. We’ll be putting the business lens on data and deep diving into the data management capabilities needed to deliver on business outcomes.

GUIDE

Alternative Trading Systems Directory 2010

The year since we launched our first edition of the A-Team Alternative Trading Directory has passed by in a flash (no pun intended). And while the rate of expansion of the alternative trading system sector may have slowed – even consolidated somewhat – in the more established centres, their onward march continues both in terms of credibility, and of uptake...