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

StreamBase Lowers Latency, Speeds Up Development

Subscribe to our newsletter

With the release of version 7 of its complex event processing (CEP) offering, StreamBase Systems is taking a swipe at latency while addressing usability to make creation of applications faster and easy enough for a business user to tackle.

Overall performance has apparently been improved by 20%, together with the introduction of fine-grain control of that age-old trade-off, reducing latency at the expense of throughput, and vice versa. That’s important for low-latency applications where proprietary code is often written to get a performance edge over packaged applications and code generators.

There has also been “microsecond-level” optimisations on the connectivity side, as well as a new FIX protocol handler (currently in beta) that has benchmarked at 50 to 75 microseconds for sending messages, depending on size. That performance is some 75% faster than other FIX engines, says the company, though it will continue to support alternatives and does not plan to compete head on in that space. That said, it knows it is on to a good thing, and is pricing its FIX handler at a subscription of $50K per year, a considerable premium to the other connectivity handlers that it offers.

And speaking of connectivity, the new version has added 22 handlers, including for messaging platforms from Informatica (29West), NYSE Technologies (everyone still calls it Wombat), Solace Systems and Tervela. And responding to the increase in algo trading outside of equities, it’s also added 10 handlers for FX market sources, including alternative trading systems and pricing services from individual banks.

The rapid deployment – and ongoing maintenance – of applications has also been targeted, with an overhaul of the StreamBase Studio visual development environment. Officially, the new interface “dramatically increases the speed and quality of application innovation,” while StreamBase CEO Mark Palmer – citing Thomas Edison no less – articulates it as “I make more mistakes than anyone else I know, and sooner or later, I patent them.” His point being that it makes it easy to prototype new trading ideas, back test them, and tweak them to perfection.

Without getting into the nitty gritty of the new development interface, it essentially allows for the graphical layout of code modules and connections between components, with easy technical option configurations, allowing non technical staff to “read the code.” As such, it’s likely to be popular among those designing algorithmic trading, order-routing and pre-trade risk functionality.

In fact, one customer – SunGard – is using StreamBase to add pre-trade controls to its Valdi trade management system. “The usability of StreamBase Studio helped us develop a new Valdi product, we used it to describe requirements collaboratively with IT and because we were working with the actual code, we made better architectural decisions early that made for a better first release,” says, Chris Lees, vice president of SunGard’s global trading business.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Competitive Edge with Outsourcing and Managed Services in Trading Technology

Outsourcing has emerged as a strategic solution for capital markets firms as trading technology infrastructures become more complex, data volumes grow exponentially, and regulatory pressures intensify. .By leveraging third-party expertise, firms can optimise operations, reduce costs, and focus on innovation in their trading technology stack. Outsourcing potentially enables firms to scale seamlessly, meet regulatory reporting...

BLOG

ION Enhances XTP Risk JANUS with AI to Improve Pre-Trade Margin Accuracy

ION has incorporated artificial intelligence into its XTP Risk JANUS platform to improve the accuracy and efficiency of pre-trade risk management for cleared derivatives. The enhancement targets a key challenge in margin estimation using CME Group’s SPAN2 Approximation model. SPAN2 is a margin methodology developed by CME that assesses the worst-case losses of futures and...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...