ClickHouse workshops

The dual-track playbooks for every ClickHouse workshop — pick the one you are running.

Each workshop below has a Learner track (the lesson you work through in the room) and an Instructor track (timings, talk track, common failures, and reset steps for facilitators).

AI SRE with Application Debugging

Three hours: take an analytics app end to end on ClickHouse Cloud with your own AI coding agent, then break it and debug it live with an AI SRE.

Agent Arena

90 minutes: run a model × prompt contest for NL→SQL, crown a winner by cost per correct answer, and ship it.

Polymarket real-time analytics

Two and a half hours: stream public prediction-market data into ClickHouse Cloud, maintain one-minute aggregates, investigate movement, and publish a market pulse dashboard.

Snowflake Migration

Six hours: migrate a production-shaped Snowflake workload to ClickHouse Cloud — 50M rows, a dbt Medallion pipeline, seven queries benchmarked, then defend your decisions.

Databricks Migration with MigrationRoom

Four hours: use MigrationRoom to migrate a Databricks workload, query Unity Catalog and a second REST catalog without copying, and measure a ClickHouse-native hot path.

Elasticsearch Observability Migration

Four to six hours: dual-write live logs, traces, and metrics to Elasticsearch and ClickHouse, prove parity, then cut over to ClickStack.

RDS Postgres to ClickHouse Managed Postgres

Four to six hours: cut a live OLTP workload over to ClickHouse Managed Postgres with a minute of downtime, stream it into ClickHouse, and route the dashboard's unchanged SQL to it.

Three hours: export a BigQuery public dataset, query it in place from object storage, then beat the schema BigQuery hands you on compressed bytes, on rows read, and on a funnel no sort key can rescue.

Real-Time Market Analytics

90 minutes: load 26.5M forex ticks from object storage, run real market-analytics queries, and let the AI Assistant and Agents write the SQL.

Langfuse Workshop - the AI engineering loop, end to end

This is a step-by-step Langfuse workshop built on a small TypeScript sample application: the Dad IT Support Agent. The workshop covers the full AI engineering loop with Langfuse: tracing, prompt management, monitoring, datasets, experiments, and evaluation.

Not sure it's the right fit? The workshops hub has the full pitch.