Videos

Open House, User stories

How InMobi serves sub-5-second P99 reporting APIs on ClickHouse

Anand Tirthgirikar, Staff Engineer at InMobi, walks through how InMobi serves reporting APIs with sub-5-second P99 latency over terabyte-scale event data, and the agentic optimisation loop that keeps SLAs steady.

Open House, User stories

How Chargebee built usage-based billing on ClickHouse

Ishaan Chawla, Engineering Manager at Chargebee, covers the data and infra challenges behind usage-based billing at scale, and how ClickHouse powers the real-time analytical layer of Chargebee's billing engine.

Open House, User stories

Quvia's move from Elasticsearch to ClickHouse for network analytics

Divyanshu Raj, Senior Principal Engineer, and Thilak Murugesan, Head of DevOps & SRE at Quvia, explain why they moved satellite, terrestrial and hybrid network analytics off Elasticsearch.

Open House, User stories

How Sony LIV delivers live streaming analytics at billion-row scale

Saloni Jain, AVP Data Engineer, and Akshay Kokate, Sr. Staff Data Engineer at Sony LIV, show how they use ClickHouse Cloud to deliver live streaming analytics at billion-row scale.

Open House, User stories

How Merck uses Langfuse

Dr. Harsha Gurulingappa, Global Head of AI & Machine Learning, and Geoffrey Lobo, Machine Learning Engineer at Merck Group, share how Merck uses Langfuse in production.

Open House, User stories

How Sarvam AI runs its analytics infrastructure on ClickHouse Cloud

Sunny Shah, Head of Engineering at Sarvam AI, shares how ClickHouse Cloud powers the analytics infrastructure behind Sarvam.

Open House, User stories

How Atlys runs visa inventory and customer service on ClickHouse

Abhishek Banerjee, Staff Software Engineer, and Manik Dua, VP of Data at Atlys, show how visa inventory management and customer service operations run on ClickHouse Cloud.

ClickHouse

Quick Start on ClickHouse: From Schema to Streaming Data

ClickHouse's Web UIs: How many do you know?

Mark Needham

Webinars

Instant compute for your most intensive workloads

Join Melvyn Peignon, Director of Product Management at ClickHouse, for a technical walkthrough and live demo. See how to use On-Demand Compute, where it fits alongside autoscaling and compute-compute separation, and why data lake queries are an especially strong fit.