Datafeeds Special Report
CLICK HERE TO DOWNLOAD THE FULL REPORT
Different Feeds for Different Folks
Over the past 15 years, the datafeeds landscape has changed beyond recognition. Once the preserve of only the largest firms with the most demanding requirements in terms of volume and performance, with most capital markets participants relying on terminals to meet their data requirements, the efficiency and speed advantages of both consolidated and direct feeds won over users at large and small firms alike.
On the direct feed side, this was largely driven by two factors: trading firms wanting faster and direct sources of data to support evolving algorithmic trading operations, and exchanges looking for new revenues, bypassing traditional consolidators with their own direct feed infrastructures. And despite these efforts, consolidated feed use has also grown as trading operations become more globalized and firms began demanding access to markets where direct feeds are either impractical or simply don't exist.
But if speed was the driving factor for feeds, the current focus is on flexibility and performance, where "performance" covers a multitude of factors beyond just speed, including reliability, capacity management and cost. So firms must not only invest in high-performance infrastructures to handle these datafeeds, but also in sophisticated monitoring systems to measure speed, uptime and other factors─though unlike in the past, when these were used by small business units running alongside enterprise systems, high performance is now the standard. "Speed has become an expectation, not a driver," says Adam Honore, chief executive of financial technology business strategy consultancy MarketsTech LLC.
However, over the same period, attrition and mergers have meant that the once-booming market for data distribution platforms and ticker plants has shrunk significantly, with much of this infrastructure business consolidating around a de facto incumbent, and only a few smaller technology companies providing competing platforms─though usually with limited capabilities.
Increased data availability has inevitably led to commoditization, and so in addition to datafeeds, firms are now looking at analytics that can deliver additional value and insight into the raw data. And with more analytics being presented via apps to serve the needs of an increasingly mobile workforce, new delivery mechanisms, APIs and cloud data marts are a logical next step for many data consumers─though participants in this report's Q&A say these will coexist with, rather than replace, the current generation of datafeed solutions.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Tech VC funding: It’s not just about the money
The IMD Wrap: It’s been a busy year for tech and data companies seeking cash to kick-start new efforts. Max details how some are putting the fun into fundraising.
BNY uses proprietary data store to connect disparate applications
Internally built ODS is the “bedrock” upon which BNY plans to become more than just a custodian bank.
Waters Wavelength Ep. 296: Questions about data quality
It’s all about the data, data, data.
The AI boom proves a boon for chief data officers
Voice of the CDO: As trading firms incorporate AI and large language models into their investment workflows, there’s a growing realization among firms that their data governance structures are riddled with holes. Enter the chief data officer.
FactSet launches conversational AI for increased productivity
FactSet is set to release a generative AI search agent across its platform in early 2025.
If M&A picks up, who’s on the auction block?
Waters Wrap: With projections that mergers and acquisitions are geared to pick back up in 2025, Anthony reads the tea leaves of 25 of this year’s deals to predict which vendors might be most valuable.
ICE Connect adds data integration capabilities for proprietary data
Intercontinental Exchange’s desktop platform is collaborating with CloudQuant to allow customers to integrate in-house data and analytics with the datasets found on its ICE Connect platform.
MIAX taps DataBP for exchange data licensing, custom contracts
To support planned growth of its data business, the exchange group has implemented DataBP’s platform to strengthen its licensing process and scale up its distribution capabilities in anticipation of end-user demand.