About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Benchmarking the Benchmarks

Subscribe to our newsletter

In the world of low latency, it seems that benchmarks are headline news. Having readily available figures showing xxx microseconds and yyy hundreds of thousands of updates per second is a pretty sure way to get some press coverage for one’s product. Indeed, I find myself asking of vendors who are pushing their new datafeed handler, or complex event processing engine, “So, got any benchmarks for it?”

Until recently, the only game in town for benchmarks was Peter Lankford’s imposingly named (and cleverly named) Securities Technology Analysis Center (Stac), which makes a business out of running independent benchmarks for vendors, detailing the exact software and hardware components (or stack) used in the benchmark test.

Of course, while Stac is independent, not all of the benchmarks it runs are published. If the results don’t stack up so well (excuse the pun), then the vendor sponsoring the benchmark isn’t likely to make them public. So the news from Stac, while authentic and useful, is really just the good news. Indeed, Stac’s Lankford does point out that the published benchmarks should augment, not replace, specific benchmarks conducted by end users.

Intel has now come on stream with its own Low Latency Lab, with StreamBase partner Datastream Analysis making use of it to benchmark calculations for algorithmic trading. Again, useful data to have. But since the lab is there to assist partners in porting their applications to the Intel architecture, one expects that any published results will show such endevours in good light.

It’s probably a pipe dream to expect any independent body to emerge that will really shake down low latency components and publish the results – the good, the bad and the ugly. For one thing, I suspect that support from vendors would be difficult to obtain.

But perhaps the next step might be the creation of some common benchmark standards, with input from financial markets practitioners, that would allow vendors, independent testers and end users to perform and compare results. Useful, and newsworthy, no?

Until next time … here’s some good music.

[tags]stac,securities technology analysis center,intel,data stream analysis,dsal,benchmarks[/tags]

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

LSEG Launches Model-as-a-Service, Extending Marketplace Strategy into Financial Models

LSEG has launched Model-as-a-Service (MaaS), expanding its marketplace strategy beyond data distribution into the hosting, commercialisation and integration of financial models. At launch, Societe Generale has joined as a provider, making fixed income, FX, ESG and equities analytics available through the platform. The move positions LSEG not just as a data vendor, but as an...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...