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

SS&C Unveils Servers for Handling Reference Data

Subscribe to our newsletter

Trade and portfolio management software provider SS&C Technologies has been quietly developing a pair of server products that can be used to manage data flows into its own applications and those of other application providers. The company is now marketing Pricing Server and Market Data Server alongside its existing Camra, Antares and Altair products.

According to SS&C European managing director Rob Leadley, the company developed the data servers in order to offer clients a standardized way of handling both pricing services and static descriptive data. The servers have been implemented at three sites and SS&C is now talking to existing customers about adding them. Pricing Server is used to accept and normalize real-time price updates, currently from Bloomberg, Reuters and Telekurs. Market Data Server handles ad hoc inquiries by connected applications to retrieve-driven sources of information, including end-of-day pricing and descriptive data. Both systems were developed as part of SS&C’s Enterprise Data and Process Management initiative. Martin Taylor, developement director in London, says the initiative resulted in the development of a component-based infrastructure that supports both servers. The infras-tructure deploys a centralized, rules-based scheduler and interacts with deployable DCOM agents to service four functional subsystems, of which Pricing Server and Market Data Server are two, alongside Corporate Actions Server, which is still under development, and Web Server. Pricing Server interfaces to both ‘push’- and ‘pull’-based data services. A rules processor ensures incoming data is normalized according to client requirements, offering functionality such as rounding and formatting for the appropriate output to applications. The scheduler allows users to programme the system to request data from pull-based services according to their requirements. Market Data Server uses a similar architecture to submit requests to data sources when needed by an application. The system currently supports an interface to the Open Bloomberg server. SS&C is planning to develop interfaces for Reuters’ Source/Sink Library, FT Interactive Data and Telekurs.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are...

BLOG

Zema Global Chief Girds for Soaring Demand for Energy Data

Since its acquisition of Morningstar’s commodity information business late last year, energy industry intelligence provider Zema Global has become an important data feed for financial institutions that invest in the net-zero transition and to those trading in renewables, biofuels and fossil fuels. The transaction was a prescient one. While the Colorado, US-headquartered company has been...

EVENT

ESG Data & Tech Briefing London

The ESG Data & Tech Briefing will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.

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...