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StarRocks
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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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Recent Articles

Latest from StarRocks

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StarRocks
StarRocks
Mar 27, 2025 · Databases

How JD Logistics Boosted Query Speed and Cut Costs with StarRocks Storage‑Compute Separation

JD Logistics transformed its one‑stop self‑service analytics platform, UData, by migrating from an integrated storage‑compute architecture to a storage‑compute separated design powered by StarRocks, achieving sub‑10‑second P95/P99 query latency, reducing storage costs by 90%, and cutting compute expenses around 30% while supporting massive data volumes.

KubernetesStarRocksStorage-Compute Separation
0 likes · 20 min read
How JD Logistics Boosted Query Speed and Cut Costs with StarRocks Storage‑Compute Separation
StarRocks
StarRocks
Feb 27, 2025 · Big Data

How iQIYI Boosted Ad Query Performance 400% with StarRocks – A Deep Dive into OLAP Evolution

This article details iQIYI's transition from Impala+Kudu and ClickHouse to StarRocks, describing the OLAP architecture, performance gains of up to 400% in advertising workloads, the technical challenges of data consistency, lake‑warehouse fusion, operational scaling, and the step‑by‑step migration process using a dual‑run platform.

FlinkOLAPStarRocks
0 likes · 15 min read
How iQIYI Boosted Ad Query Performance 400% with StarRocks – A Deep Dive into OLAP Evolution
StarRocks
StarRocks
Feb 20, 2025 · Big Data

How RedBI Boosted Query Speed 3× with StarRocks & Iceberg Lakehouse

The article details how Xiaohongshu's RedBI self‑service analytics platform transformed its architecture by integrating StarRocks and Iceberg, replacing ClickHouse‑based storage with Parquet, introducing DataCache, Z‑Order sorting and intelligent key selection, achieving a three‑fold P90 query speed improvement, sub‑10‑second latency, and halving storage consumption.

DataCacheIcebergLakehouse
0 likes · 19 min read
How RedBI Boosted Query Speed 3× with StarRocks & Iceberg Lakehouse
StarRocks
StarRocks
Feb 11, 2025 · Databases

How StarRocks Supercharges Vector Search: 7× Faster Queries and 1/3 Cost

This article explains the principles and practical implementation of vector retrieval in StarRocks, covering approximate nearest‑neighbor algorithms, index design, query planning, performance optimizations, real‑world case studies, and future challenges, showing how query latency dropped from 15 seconds to 2 seconds while cutting costs to a third.

ANNApproximate Nearest NeighborHNSW
0 likes · 25 min read
How StarRocks Supercharges Vector Search: 7× Faster Queries and 1/3 Cost
StarRocks
StarRocks
Jan 14, 2025 · Databases

How 58.com Achieved 20× Faster Real‑Time Queries by Migrating to StarRocks

58.com integrated the StarRocks analytical engine into its data‑exploration platform, replacing Spark/Hive, to overcome minute‑level latency, and after a year of migration achieved over 20× query speedup, 98%+ success rate, and solved numerous Spark‑StarRocks compatibility issues while also moving the service to the cloud.

SQL accelerationSpark compatibilityStarRocks
0 likes · 17 min read
How 58.com Achieved 20× Faster Real‑Time Queries by Migrating to StarRocks
StarRocks
StarRocks
Jan 2, 2025 · Big Data

StarRocks Compute‑Storage Separation Cuts Costs 40% and Boosts Efficiency 20% at DMALL

DMALL upgraded its big‑data platform by adopting StarRocks 3.x with compute‑storage separation, lakehouse external tables, and Kubernetes deployment, achieving 20% higher compute utilization, 40% lower storage cost, faster cluster provisioning, and notable improvements in development and operations efficiency.

KubernetesLakehouseStarRocks
0 likes · 25 min read
StarRocks Compute‑Storage Separation Cuts Costs 40% and Boosts Efficiency 20% at DMALL
StarRocks
StarRocks
Dec 2, 2024 · Big Data

How Paimon Revamps Lakehouse Management and Supercharges Queries with StarRocks

This article details Tongcheng Travel's migration from Hive/Kudu/Hudi to Paimon for lakehouse integration, highlighting a 30% resource reduction, three‑fold write speed gains, significant query acceleration via StarRocks, the end‑to‑end architecture across ODS‑DWD‑DWS‑ADS layers, and future roadmap plans.

FlinkLakehousePaimon
0 likes · 18 min read
How Paimon Revamps Lakehouse Management and Supercharges Queries with StarRocks
StarRocks
StarRocks
Oct 16, 2024 · Big Data

How to Build a High‑Performance Lakehouse with StarRocks and Apache Hive

This guide walks through the core concepts of Apache Hive, its architecture and key features, then shows how to integrate Hive with StarRocks via the Hive Catalog, construct ODS/DWD/DWS/ADS tables, enable DataCache, use materialized views, and handle automatic partition detection for fast lakehouse analytics.

Apache HiveDataCacheLakehouse
0 likes · 17 min read
How to Build a High‑Performance Lakehouse with StarRocks and Apache Hive