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

Xignite’s Dubois: Covid-19 Expected to Accelerate Shift to Cloud for Market Data

Subscribe to our newsletter

The Covid-19 pandemic and its concomitant shift of much of the work force to home-working may force a re-evaluation of on-premises market data management. After an initial delay as the pandemic kicked in, financial institutions’ interest in cloud-based delivery of market data is now accelerating, according to Xignite CEO Stephane Dubois.

Xignite has seen a surge in API requests over the period of the lockdown, with the company reporting more than 12 billion requests per day. Driven by record market volatility, Xignite has seen a jump in server requests across the board – from retail web-sites to online trading firms through to robo advisors and institutional trading firms.

Xignite recorded API request volumes of around 200 billion / month for the three months ending in February, when requests began to rise. Xignite says it received more than 365 billion API hits in April, the peak of market activity, with early indications suggesting volumes pulled back slightly in May. As investors sought to chart or otherwise analyze the impact of market volatility on their portfolios, Xignite says requests of historical real-time data grew by 280% during the period, while requests for historical equity data rose by 50%.

Xignite has been a pioneer in cloud-based market data delivery, with its AWS-based Market Data Cloud Platform. The platform offers the kind of  transparency on a firm’s usage of first-level real-time and reference data usually associated with institutional set-ups. This allows firms to control entitlements and data usage, comply with licensing requirements, allocate costs, and resolve vendor audits or invoice discrepancies. Xignite also powers financial data-driven robo-advisors, online brokerages, and investing apps with its real-time, delayed and historical pricing data offered via 500+ REST Cloud APIs.

Dubois says the biggest increase in data requests has come from retail applications, followed by online trading and robo advisory services. While demand from institutional users hasn’t been so volatile, Xignite has seen demand from some asset management firms jump by 25% to 30%, Dubois says.

He reports that institutional interest in cloud delivery has picked up following the initial impact of pandemic. With many staff working from home – at the likelihood that at least some portion of these may continue with this arrangement for some time – firms are realizing on-premise data management is difficult to support.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Trading Technology Leaders in APAC Revealed in A-Team Insight’s 2025 Awards Introduction

A-Team Group is delighted to announce the winners of the inaugural Capital Markets Technology APAC Awards 2025, celebrating the leading solution providers and innovators shaping the future of trading in the Asia Pacific region. To coincide with the awards, we have also published our comprehensive annual report, “The State of Capital Markets Technology in Asia...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Evaluated Pricing

Valuations and pricing teams are facing a much higher degree of scrutiny from both the regulatory community and the investor community in the glare of the post-crisis data transparency spotlight. Fair value price transparency requirements and the gradual move towards a more harmonised accounting standards environment is set within the context of the whole debate...