Customer Facing Analytics How to Choose a Real Time Cloud Data Warehouse
In this webinar, we break down how to evaluate real-time cloud data warehouses for customer-facing analytics. We cover interactive performance, multi-table analysis, data freshness, and operational simplicity—plus a side-by-side comparison of ClickHouse Cloud and CelerData Cloud with a live demo and a real-world production use case. When analytics lives inside your product, performance and freshness become user-facing features. Supporting real users, complex joins, and heavy concurrency requires an architecture built for more than dashboards. Tune in to learn how architectural choices impact latency, scalability, and user experience—and how to choose the right engine with confidence. -------------------------------------------------------------------------------------------------------------------- Timestamps 00:00 Intro 01:07 Agenda 02:15 Customer-Facing Analytics: Technical Requirements 06:31 Common Challenges in Customer-Facing Analytics: Joins vs. Denormalization 10:05 Common Challenges in Customer-Facing Analytics: Data Upserts in OLAP 11:42 Solutions: How to Achieve On-the-Fly Joins 18:50 Solutions: How to Achieve Low Latency and High Concurrency 22:06 Solutions: How to Achieve Real-Time Upserts 23:26 CelerData Cloud vs. ClickHouse Cloud 25:25 Live Demo: CelerData Cloud vs. ClickHouse Cloud 31:14 Comparison and Technical Use Cases: CelerData Cloud vs. ClickHouse Cloud 34:20 Example: Demandbase Story Before & After 35:49 AI Agents Are Coming: What Customer-Facing Workloads Look Like for Agentic Analytics 37:20 Q&A 37:39 How long did CelerData Cloud run? 38:27 Does CelerData run on AWS or another platform? 38:55 How much does CelerData depend on data modeling quality? 39:22 What architecture was used in CelerData (shared or shared-nothing)? 39:41 Why are you still using MapReduce? 40:06 Have you tried vibe coding in CelerData? 40:44 How would you compare ClickHouse Cloud and CelerData Cloud for observability use cases? 41:18 How does execution degrade when using an LLM? 41:55 Can AI simplify your processing? 42:23 Do you propose that CelerData can replace Spark, or not? 43:30 Will the performance seen on CelerData Cloud be the same in an on-prem setup? --------------------------------------------------------------------------------------------------------------------- Learn more at https://celerdata.com/ Connect with us: LinkedIn: https://www.linkedin.com/company/celerdata/ Twitter: https://twitter.com/celerdata CelerData Website: https://celerdata.com/ StarRocks GitHub: https://github.com/StarRocks/StarRocks StarRocks Website: https://www.starrocks.io/ Slack: https://starrocks.io/redirecting-to-slack #DataAnalytics #DataEngineering #RealTimeAnalytics #RealTimeData #OLAP #DataAnalyst #DataEngineer #DataInfrastructure #databaseprogramming