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

A-Team Insight Blogs

Xenomorph Offers Souped-Up SQL for Reference Data

Subscribe to our newsletter

Xenomorph has launched TimeScape QL+, a new query language designed specifically for filtering and analysis of reference, historic and tick-by-tick data. Based on an SQL-like syntax, TimeScape QL+ allows traders, risk managers and technologists to filter and analyze data more efficiently than is possible with pure relational database technology, Xenomorph says. The development has been driven by the recent extension of Xenomorph’s client list from its traditional base in cash equities and equity derivatives into the credit derivatives and fixed income markets. “Within credit and fixed income, there is more need to selectively pre-filter data prior to performing more complex time series analysis,” according to Xenomorph.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

The Next Frontier in Best Execution Is The Data Layer

By Arun Sundaram, head of commercial data and analytics, LMAX Group. Best execution was once about securing the strongest possible result for clients on an individual trade. Over the past few decades, the industry has become much better at measuring that outcome through fill rates, slippage and rejection ratios. But the next frontier isn’t the...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

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...