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

A-Team Insight Blogs

Alveo and AquaQ Partner to Integrate Alveo Prime with AquaQ kdb+

Subscribe to our newsletter

Alveo and AquaQ Analytics have partnered to offer advanced data management and analytics for financial services firms. An early deliverable is the integration of Alveo’s Prime data mastering and data quality management solution with AquaQ’s kdb+ data capture solution.

The bi-directional integration allows users to take mastered pricing and reference data from Prime into kdb+ . Conversely, tick data histories and trade data kept in kdb+ can be accessed by Prime to provide additional depth and context for the independent valuation, risk factor creation, and data quality management processes Alveo offers through its Ops360 user experience.

AquaQ has expertise in helping clients optimise, develop and maintain database technologies and take advantage of advanced data and analytics. Its open-source suite of software tools, TorQ, allows users to rapidly build and deploy kdb+ systems. Alveo’s data mastering and data quality solution tracks the collection, integration and quality-vetting of a diverse set of content providers.

Ronan Pairceir, CEO and co-founder of Belfast-based AquaQ, says: “Solid and scalable data integration with clear lineage and demonstrable data quality has rapidly become a must-have. Alveo’s strength in price and reference data mastering and integration complements our expertise.”

Mark Hepsworth, CEO at Alveo, adds: “We share clients around the world. AquaQ’s expertise in data science use cases and database technologies complements Alveo’s solutions. As business processes in financial services become increasingly data-intensive, our cooperation will address the requirements customers face to keep abreast of mounting data volumes as well as processing requirements.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Agentic AI, Data Readiness and Governance Shape AICMS London 2026

AI adoption in capital markets has entered a more exacting phase. The early cycle of pilots, productivity tools and isolated use cases is giving way to questions of operating model, governance, data architecture, control evidence and return on investment. A-Team Group’s AI in Capital Markets Summit London 2026 will examine that shift through a practical...

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...