One Size Can't Fit All - The Case for a Real-Time Data Warehouse
Tanya Bragin VP Product, ClickHouse
We owe a lot to the cloud data warehouses, but their era of hegemony is coming to an end. The cloud data warehouses accomplished what many considered impossible: shifting huge analytical workloads from proprietary mainframe-like self-managed solutions to the cloud. This evolution ultimately resulted in a close examination of how warehoused data could be used to build increasingly interactive data-driven applications and led to an increasing trend to unbundle the cloud data warehouse, now deployed in a more open and interconnected environment.

Maximizando a produtividade dos seus Agentes de IA com ClickHouse

How to Remain Competitive in the AI Era of Software Engineering
Alexey Milovidov, CTO, 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.