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Data Skew in Customer-Facing Analytics: The Hidden Cost Behind Latency

In customer-facing analytics, delivering fast, interactive insights isn’t just a bonus—it’s a baseline expectation. Users expect sub-se...

Why Customer-Facing Analytics Needs More Than Just Fast

Delivering analytics to customers might seem like an extension of what internal BI platforms already do—running SQL queries, rendering ...

Customer-Facing Analytics Meets Agents: Eightfold‘s Move from Redshift to StarRocks

Eightfold.ai needed sub-second, multi-tenant analytics—today for humans, tomorrow for AI agents. By migrating from Redshift to StarRock...

Customer-Facing Analytics Without Denormalizing Everything

For years, denormalization has been the go-to workaround when query engines couldn’t handle complex joins at scale. Flatten your data, ...

3.5 Webinar Q&A Recap: StarRocks Security, Iceberg Support, and More

Thanks to everyone who joined our StarRocks 3.5 webinar! We received great questions from the audience—here’s a quick summary of some o...

Introducing StarRocks 3.5

StarRocks 3.5 introduces a focused set of improvements across reliability, performance, and security. This release adds cluster-level s...

Databricks Iceberg Managed Table Explained

Apache Iceberg is fast becoming the industry standard for building reliable, performant data lakes. Designed to support massive dataset...

Demandbase Ditches Denormalization By Switching off ClickHouse

Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time,...

StarRocks Connector for Tableau is Now Officially Verified

We’re thrilled to announce that the StarRocks Connector for Tableau, contributed by CelerData, is now officially verified and available...