ClickHouse Singapore August 2026 Edition

Name: ClickHouse Singapore August 2026 Edition
Start: 2026-08-04T10:00:00.000Z
End: 2026-08-04T13:00:00.000Z
Location: 10 Pasir Panjang Road, Singapore 117438, Singapore, Singapore

10 Pasir Panjang Road, Singapore 117438, Singapore, Singapore, IMDA SingaporeTuesday, Aug 4 · 6:00 AM

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Free

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3% Flock fee · You keep 97%

Doors 6:00 AM

The Story

We're back with another exciting meetup in Singapore for 2026! Come join us for an evening of learning from database experts, and great conversations with the ClickHouse and Women in Tech SG community, hosted at IMDA office. **🗓️ AGENDA:** * 6:00 PM: Registration, Dinner & Chitchat * 7:00 PM: Welcome and Introductions * 7:10 PM: **Talk 1 - The Model Gets the Headlines. The Database Wins the Race** by Siddhant Agarwal, Senior Developer Relations Advocate @ ClickHouse * 7:40 PM: **Talk 2 - From Prompt to PASS/FAIL: Production LLM Certification on Langfuse + ClickHouse** by Yisam Lee, Senior Support Engineer @ ClickHouse * 8:10 PM: **Talk 3: Everything Is a Language Problem Now** by Uli Hitzel, AI Strategist @ naida * 8:25 PM: Wrap-up and Networking **👉🏼 RSVP to secure your spot!** **Interested in sharing a talk at this meetup or future events? Complete this [CFP form](https://clickhou.se/meetup-cfp) and we’ll be in touch.** **_____________________________________** **🎤 Session Details: The Model Gets the Headlines. The Database Wins the Race** Everyone is arguing about which model is best. Almost nobody is talking about the system underneath it. In F1, the driver gets the trophy, but the car decides who is on the podium. Production AI works the same way: the model is the part users see, while the data layer decides whether your product feels instant or unusable. This talk maps the F1 grid onto a production AI system: models as drivers, data as fuel, observability as telemetry. Then it shows the full loop live: natural language questions over F1 race data through LibreChat, an agent querying ClickHouse via MCP, and every request traced in Langfuse, with latency, tokens, and cost queryable as plain SQL. You'll leave knowing how to instrument your AI system like a race engineer, and why the teams that win are the ones that build the whole car. **Speaker: Siddhant Agarwal, Senior Developer Relations Advocate, APAC, ClickHouse** Siddhant Agarwal leads Developer Co