QuestDB Wins Best Trading Analytics Platform at TradingTech Insight Awards Europe 2026
We are delighted to share that QuestDB has been named Best Trading Analytics Platform at the TradingTech Insight Awards Europe 2026, presented at TradingTech Summit London on February 26th.
Our CTO Vlad Ilyushchenko and Sales Lead Kevin Maro were there to accept the award in person. Vlad also joined a panel of industry leaders from Citi and Keysight Technologies to discuss High Performance Trading Infrastructure: the blueprint for speed, trust and competitive edge. The conversation covered ground that sits at the heart of what QuestDB is built for: the tension between speed and data integrity, sub-microsecond execution in fragmented European markets, and how firms should think about TCO when choosing between co-location and cloud.
Recognition from the people who run the systems
What sets the TradingTech Insight Awards apart is how the winners are determined. These are practitioner votes. Quants, engineers, and traders who run analytics at market scale, day in and day out. Winning their recognition matters more to us than most accolades.
QuestDB was founded seven years ago on a straightforward but stubborn conviction: that capital markets teams should not have to choose between performance and openness. Legacy time-series infrastructure has long forced uncomfortable trade-offs. Raw speed at the cost of SQL familiarity. Analytical power at the cost of scalability. We built QuestDB to make those a false choice.
What the community is seeing in practice
This award comes at a moment when we are shipping some of the most impactful features in QuestDB's history, and we think the timing reflects what practitioners are experiencing firsthand.
HORIZON joins are a good example. Calculating markout horizons involves measuring the P&L impact of a trade across a range of future time intervals. Traditionally this requires pulling large volumes of trade and order book data into application code, joining it externally, and running the analysis there. With HORIZON joins, that entire workflow happens directly in the database via SQL. A full day of trades joined against order book snapshots across multiple time horizons resolves in seconds. Our SQL cookbook includes a step-by-step markout example. For desks that run this kind of post-trade analysis routinely, that is not an incremental improvement. It is a different way of working.
On the integration side, QuestDB's commitment to open standards is increasingly paying dividends. Native support for Parquet, a standard REST API, and a familiar SQL interface mean that connecting QuestDB to modern data stacks is straightforward rather than a project. This includes AI-powered and agentic tooling. As agentic code assistants become a serious part of the quantitative workflow, the database layer needs to speak the same language as the ecosystem around it. We do.
What comes next
The trading technology landscape is moving fast. The questions Vlad discussed on stage in London cover problems our customers are solving today, and they are shaping our roadmap. How to guarantee data trustworthiness at ingestion speed. How to meet DORA's resilience requirements without sacrificing performance. How AI can be used to predict infrastructure bottlenecks before they become incidents.
We are grateful to the TradingTech Insight community for this recognition, to our customers who operate at the frontier and tell us where the real problems are, and to the QuestDB team whose engineering discipline makes what we do possible.
This is a milestone. There is more to build.