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Open House, ClickHouse

How to build a great database (Alexey Milovidov)

The principles behind building a great database, and the new frontiers shaping the field.

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Open House, ClickHouse

The real-time data platform for AI

Ed Lenta, VP, Asia Pacific & Japan at ClickHouse, sets the stage for the day: ClickHouse as the real-time data platform for AI.

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Open House, ClickHouse

Keynote: Building real-time data and AI at scale

Krithika Balagurunathan, Sr Director, Product Management, and Tyler Hannan, Senior Director, Developer Advocacy at ClickHouse, walk through building real-time data and AI systems at scale on ClickHouse.

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Open House, ClickHouse

Shipping reliable AI agents with Langfuse and ClickHouse

Max Deichmann, CTO & Co-Founder at Langfuse, shows how to build and ship reliable AI agents with Langfuse and ClickHouse.

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Open House, ClickHouse

ClickStack: open source observability built on ClickHouse

Alex Fedotyev, Principal Product Manager at ClickHouse, covers ClickStack, the open source observability stack built on ClickHouse.

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Open House, ClickHouse

Unified data stack: Managed Postgres by ClickHouse

Amogh Bharadwaj, Senior Software Engineer at ClickHouse, introduces Managed Postgres by ClickHouse and where it fits in a unified data stack.

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Open House, ClickHouse

Accelerating your data lake with ClickHouse

Marta Paes Moreira, Senior Product Manager at ClickHouse, shows how ClickHouse speeds up queries on your data lake.

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ClickHouse

Measuring the True Cost of Real-Time Analytics

In this webinar, we’ll follow the full path from incoming events to materialized views to live analytics, comparing ClickHouse with other cloud data warehouses to reveal which systems deliver the most real-time performance per dollar when the data never stops moving.

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ClickHouse

How to Remain Competitive in the AI Era of Software Engineering

Alexey Milovidov, CTO, ClickHouse

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Langfuse, ClickHouse

Observing and Improving AI Agents with Langfuse

AI agents are moving from prototypes into production. Teams still struggle to understand what agents are doing, why they fail, and how to improve them systematically.

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