CelerData Blog

When ETL Jobs Fail Halfway: The Hidden Cost of Non-Atomic Data Operations

It's 3 AM and your ETL pipeline just failed. Again. The monitoring dashboard shows green checkmarks for three table loads, but the four...

StarRocks 4.0: Bringing Native Columnar Performance to JSON

JSON was never designed for analytics. It’s extremely flexible, universal, and perfect for fast-changing data—but once those JSON logs ...

StarRocks 4.0: Delivering Query-Ready Data to Apache Iceberg

Data in your Apache Iceberg tables often doesn't land in a way that's optimized for queries. Continuous micro-batch writes create tens ...

StarRocks 4.0: Catalog-Centric Access Control on Apache Iceberg

Apache Iceberg gives teams an open, shared table format that any engine can use. But with that flexibility comes a challenge: how do yo...

StarRocks 4.0: Zero Compromise, 60% Faster

OLAP databases routinely claim performance advantages, yet industry-recognized benchmarks under production conditions reveal a differen...

Announcing StarRocks 4.0: Open, Fast, Governed

StarRocks 4.0 is here! Unveiled at the StarRocks Global Summit, version 4.0 marks the next major milestone in the StarRocks journey. In...

Run StarRocks in Your Own GCP Environment with CelerData Cloud BYOC

We’re excited to announce the launch of CelerData Cloud Bring Your Own Cloud (BYOC) on Google Cloud Platform (GCP). This launch gives e...

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...

Modern Financial Data Warehousing and Dashboarding: Strategy to Demo

Picture this: It's 2:47 PM EST, and the Fed just announced an unexpected rate cut. Within seconds, your trading desk is flooded with or...