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

A-Team Insight Blogs

Quotix and Celer Technologies Implement Azul Systems’ Zing JVM

Subscribe to our newsletter

Azul Systems continues to build its direct and third-party customer bases with recent wins for its Zing Java virtual machine (JVM) at Quotix, a provider of intelligent trade execution and management for the foreign exchange market, and Celer Technologies, a provider of adaptable high performance trading platforms.

Quotix selected Zing to support and optimise the performance of its FX liquidity aggregation software after running stress tests that simulated extreme market conditions and showed occasional inconsistent trading execution. Zing has been implemented in place of Oracle’s HotSpot JVM to eradicate Java garbage collection issues and latency outliers, and provide consistent low latency.

Evgeny Sorokin, CEO at Quotix, explains: “We implemented Azul’s Zing to armour the Quotix back end. Tests demonstrate that our systems powered by Zing can comfortably handle sharp spikes in load and deliver consistent trade execution. It was interesting to see how our solutions behaved during the recent CHF Black Swan. We saw several thousands of orders per second on each aggregator that were processed with no delays whatsoever. This is a great example of why we chose Zing.”

Celer Technologies has embedded Zing in its next generation, big data trading platform with a view to delivering consistent low latency for all its trading modules from trade implementation and execution to client reporting and compliance monitoring.

Ben Cuthbert, CEO at Celer, says: “Trading firms are often frustrated by inflexible systems that aren’t freely customisable to meet changing business and market requirements. Azul’s Zing increases the benefits of our software, giving clients an advantage by allowing them to customise the solution and respond to changing needs with complete confidence in the system’s performance and trade execution.”

The contract wins at Quotix and Celer reflect Azul’s multi-pronged market approach that includes direct, third party and hardware and software bundled solutions. Scott Sellers, president and CEO of the company, says: “Business is growing around all these solutions and we continue to optimise Zing for a broad set of independent software vendor apps and align it to apps that have use cases for it. One use case is big data. There are a lot of greenfield deployments of big data apps and we would like Zing to be a de facto standard for them.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

United Fintech on AI, Shared Infrastructure and the New Economics of Capital Markets Technology

AI-assisted coding may be making software easier to develop, but getting it into banks remains a complex and costly process. These challenges are also reshaping the economics of specialist fintech providers, many of which face difficulties securing investment and achieving the scale required to serve major banking clients. For United Fintech, the financial technology group...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...