
Amsterdam, Netherlands, 16 July 2026: ClickHouse, the open-source database management system for real-time analytics, is bringing its flagship Open House conference to Europe with a three-city roadshow spanning Amsterdam, London and Munich.
Designed for developers, data engineers, architects and technology leaders, the free events will provide practical learning opportunities centred on real-time analytics, AI infrastructure and modern data platforms. Building on the success of Open House in San Francisco, the European edition reflects the company's continued investment in one of the world's fastest-growing technology regions.
Running in Amsterdam on 1 September, London on 30 September and Munich on 6 October 2026, the roadshow will feature keynote presentations, technical deep dives, hands-on workshops, customer case studies, networking sessions and product updates. More than 1,000 attendees are expected across the three locations.
"Europe has one of the world's most vibrant engineering communities, and we're seeing tremendous demand from organisations looking to modernise their data infrastructure for AI and real-time analytics," said Arno van Driel, VP EMEA at ClickHouse. "Open House Roadshow Europe is about bringing that community together, not simply to showcase technology, but to exchange ideas, learn from production deployments and give developers practical skills they can apply immediately."
As organisations accelerate AI adoption and increasingly rely on real-time decision-making, many are rethinking the data infrastructure that supports those workloads. Demand continues to grow for platforms capable of handling large-scale analytics, observability and AI applications, while Europe's investment in cloud-native technologies is creating greater appetite for technical education and peer collaboration.
The Open House Roadshow has been developed to address these needs by connecting attendees directly with the engineers, product teams and practitioners building and operating modern analytical databases. Rather than focusing on broad industry trends, the programme emphasises practical implementation, real-world deployment experiences and technical knowledge that participants can immediately apply within their own organisations.
Registration opens at 8:30 a.m., followed by optional morning workshops running from 9:00 a.m. to 12:00 p.m. Participants can choose between two hands-on sessions: "Observing and Improving AI Agents with Langfuse" and "One Database Every Workload: A ClickHouse Workshop." Both workshops are designed to give attendees practical experience with observability, AI systems and real-time analytics.
The speaker line-up includes Alexey Milovidov, CTO and co-creator of ClickHouse; Tanya Bragin, VP Product & Marketing; Tyler Hannan, Senior Director of Developer Advocacy; and Marc Klingen, Co-founder of Langfuse, alongside customers and contributors from the wider ClickHouse community.
Throughout the day, attendees will have opportunities to engage directly with ClickHouse engineers, hear how organisations are deploying the platform in production and explore emerging approaches to building scalable, high-performance data systems.
Amsterdam
London
Munich
Attendance is free for all three events, with registration available on a first-come, first-served basis.
ClickHouse is an open-source, column-oriented SQL database management system designed for Online Analytical Processing (OLAP) and real-time data analytics. Built for speed and scalability, ClickHouse enables organisations to process massive volumes of data for real-time analytics, observability, machine learning and AI applications with industry-leading performance and cost efficiency.
Open House Roadshow Europe forms part of ClickHouse's global Open House conference series, bringing technical education and community events closer to developers across key international markets. The programme combines hands-on workshops, engineering sessions, product updates, customer stories and networking opportunities for professionals building the next generation of data-intensive and AI-powered applications.
