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StarRocks

StarRocks is an open‑source project under the Linux Foundation, focused on building a high‑performance, scalable analytical database that enables enterprises to create an efficient, unified lake‑house paradigm. It is widely used across many industries worldwide, helping numerous companies enhance their data analytics capabilities.

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Latest from StarRocks

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StarRocks

Apr 16, 2026 · Databases

Why Traditional Databases Stall AI Agents—and How StarRocks Overcomes the Bottleneck

Traditional databases were built for low‑frequency, human‑driven queries, but AI agents generate dozens of concurrent, sub‑second queries that expose architectural limits, and StarRocks addresses these challenges with self‑healing optimization, real‑time data pipelines, extreme concurrency handling, and seamless lakehouse access.

Database ConcurrencyQuery OptimizationReal-time analytics

0 likes · 13 min read

StarRocks

Apr 1, 2026 · Databases

Inside StarRocks I/O: How Tablets, Fragments, Pipelines, and Morsels Power Parallel Scanning

This article explains the core I/O components of StarRocks—Tablet, Fragment, Pipeline, Morsel, ScanOperator, ChunkSource, ScanTask, and ChunkBuffer—showing how they work together to achieve high‑performance, low‑latency query execution in a compute‑storage separated architecture.

I/O ArchitectureMPP databaseMorsel

0 likes · 21 min read

StarRocks

Mar 11, 2026 · Databases

How StarRocks Supercharges Real‑Time Ad Funnel Monitoring and Creative Optimization

This article dissects the full advertising funnel, explains why CTR and eCPM are critical, and demonstrates how StarRocks combined with Flink can deliver minute‑level real‑time monitoring, material selection, anomaly alerts, A/B testing, and a successful migration from Druid for massive ad‑tech workloads.

AdvertisingMaterialized ViewsReal-time analytics

0 likes · 20 min read

StarRocks

Mar 5, 2026 · Big Data

How Fanatics Scaled to PB‑Level Data with StarRocks & Apache Iceberg Lakehouse

Fanatics unified its fragmented data stack by building a StarRocks‑powered Lakehouse on Apache Iceberg, replacing Redshift, Snowflake, Athena, and Druid, which cut costs by up to 95%, delivered sub‑second dashboard queries on petabyte‑scale data, and enabled real‑time and historical analytics on a single platform.

Apache IcebergFanaticsPerformance optimization

0 likes · 10 min read

StarRocks

Feb 11, 2026 · Big Data

How StarRocks and Apache Paimon Build a True Lakehouse Native Engine

This article details the deep integration of StarRocks with Apache Paimon, describing the unified architecture, version evolution, performance enhancements, time‑travel queries, native readers/writers, distributed planning, and future roadmap for achieving lakehouse‑native analytics at scale.

Apache PaimonStarRocksdata lake

0 likes · 10 min read

StarRocks

Jan 22, 2026 · Big Data

How Paimon + StarRocks Accelerates Double‑11 OLAP Queries by 80% Refresh Speed

This article explains how Taotian Group unified real‑time and offline data using Paimon as lake storage and StarRocks for high‑performance OLAP, eliminating costly sync pipelines, cutting refresh time by about 80%, saving nearly ten million yuan annually, and detailing the architecture, cluster safeguards, configuration tweaks, monitoring, and future roadmap for large‑scale promotional events.

OLAPPaimonPerformance Tuning

0 likes · 24 min read

StarRocks

Jan 15, 2026 · Artificial Intelligence

How AI‑First Lakehouse Redefines Data Platforms for Multimodal Analytics

The article outlines the evolution from traditional OLAP to an AI‑first Lakehouse, detailing unified multimodal storage, CPU/GPU heterogeneous scheduling, native vector search, in‑database AI inference, agent‑centric execution, and self‑evolving platform capabilities that together reshape modern data analytics.

AIAgent architectureIn‑Database Inference

0 likes · 11 min read

How AI‑First Lakehouse Redefines Data Platforms for Multimodal Analytics

StarRocks

Jan 7, 2026 · Big Data

How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data

This article details Gaode Maps' end‑to‑end lakehouse solution for handling high‑frequency, high‑volume trajectory data, covering the challenges of real‑time visibility, multi‑scenario queries, storage cost, and data silos, and describing the layered storage architecture, performance validation, and future expansion plans.

Apache FlinkData TieringStarRocks

0 likes · 21 min read

How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data

StarRocks

Dec 25, 2025 · Big Data

How dbt, DataOps, and StarRocks Combine to Accelerate Real‑Time Data Modeling

This article explains how dbt drives automated data modeling and governance, how DataOps practices bring agility and control to data projects, and how StarRocks’ lakehouse architecture enables real‑time and batch analytics, illustrated with concrete workflows, version‑control conventions, and enterprise case studies.

Data ModelingDataOpsELT

0 likes · 14 min read

StarRocks

Dec 18, 2025 · Databases

How Fresha Scaled Real‑Time Analytics with StarRocks: A Deep Dive into Their Hybrid Architecture

Facing Postgres overload and costly Snowflake queries, Fresha rebuilt its analytics platform by introducing StarRocks as a unified SQL entry point, combining federated lakehouse queries with high‑performance internal tables, which reduced homepage query latency to around 200 ms and achieved minute‑level data freshness across real‑time, historical, and search workloads.

Compute-Storage SeparationMaterialized ViewsStarRocks

0 likes · 20 min read

How Fresha Scaled Real‑Time Analytics with StarRocks: A Deep Dive into Their Hybrid Architecture