World Congress 2026 Europe • Jul 10, 2026 • Session details

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse

Hellmar Becker

Are autonomous agents breaking your data architecture? Discover how unifying ClickHouse's blazing-fast analytics with Langfuse's AI observability solves the latency and security challenges of agentic AI.

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#1 about 5 min

The impact of agentic AI on data architecture

Traditional siloed data structures struggle to support unpredictable workloads and the growing scale generated by AI agents.

#2 about 5 min

Using ClickHouse as a foundation for fast analytics

A fast columnar data store analyzing specific column subsets enables rapid data processing for concurrent AI responses.

#3 about 2 min

Live demo of AI chat interactions with ClickHouse

An interactive showcase reveals how prompt backend querying provides a snappy user experience for real-time assistants.

#4 about 3 min

Addressing AI observability and cost transparency with Langfuse

Visibility into model operations brings immediate clarity to token expenditures and the reliability of non-deterministic outputs.

#5 about 6 min

Evaluating agent interactions and managing system prompts in Langfuse

Abstracting system instructions away from application logic allows teams to safely refine configurations and benchmark answer quality.

#6 about 2 min

Summarizing the modern AI architecture with ClickHouse and Langfuse

Combining rapid database ingestion with robust tracing capabilities forms a highly performant and stable analytical backbone.

#7 about 4 min

Q&A on agent evaluation chains and PII masking

Fine-grained data-level masking protects personal identifiable information within tracing platforms while preserving essential context for debugging workflows.

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Introduction to ClickHouse cloud database architecture

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