How Suprema Gaming made its data platform agent-ready with ClickHouse Cloud

Summary

Suprema Gaming migrated its analytics platform from Snowflake to ClickHouse Cloud on AWS as part of a company-wide move toward agentic operations. The previous stack delivered data about four hours late, required heavy dbt rebuilds, and often took minutes to answer queries, limiting real-time investigations and interactive analysis. Suprema rebuilt ingestion with ClickPipes for supported sources and Debezium plus Kafka for others, while dbt and GitHub Actions deploy the warehouse-layer structure without external cron jobs, Airflow, or a separate orchestrator; governed access uses role-based controls and query-time PII masking. Before cutover, every metric was validated against the reference source, and the resulting platform reduced warehouse spend by roughly 62%, improved direct-read performance 27x, and maintains about one-minute p95 freshness, supporting an early production deployment of ClickHouse Agents.

Takeaways

1. 1

   Migrated sources now arrive in ClickHouse second by second, with data moving across warehouse layers in seconds and roughly one minute of p95 lag.

2. 2

   Direct reads from the marts were measured at 27x faster than the previous solution, enabling conversational BI agents to answer questions without interrupting the interaction.

3. 3

   ClickHouse Cloud reduced Suprema’s warehouse spend by roughly 62%, while governance controls treat AI agents as consumers subject to access control, data minimization, masking, traceability, and auditing.