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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

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

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

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.

Compute-Storage SeparationKubernetesLakehouse

0 likes · 25 min read

StarRocks

Dec 25, 2024 · Databases

Cutting Costs 40% and Halving Query Latency: Our ClickHouse‑to‑StarRocks Migration

Facing high costs and scaling limits with ClickHouse, we migrated a 4000‑core, 500TB OLAP workload to StarRocks, achieving 40% cost reduction, 50% storage savings, and up to 30× query speedups through storage‑compute separation, materialized‑view rewrites, and extensive performance tuning.

ClickHouseOLAPPerformance Tuning

0 likes · 18 min read

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

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

StarRocks

Sep 19, 2024 · Big Data

How Ele.me Built a Real‑Time Lakehouse: From 1.0 to 3.0 with Flink, Paimon & StarRocks

This article details Ele.me's journey in evolving its real‑time data warehouse, covering the original 1.0 architecture, the 2.0 lakehouse redesign with Paimon and StarRocks, performance evaluations of lake formats and query engines, and the roadmap toward a 3.0 streaming lakehouse solution.

FlinkLakehousebig data

0 likes · 16 min read

StarRocks

Sep 5, 2024 · Big Data

Accelerate Lakehouse Queries: A Hands‑On Guide to StarRocks + Apache Iceberg

This tutorial walks you through the fundamentals of Apache Iceberg, its architecture and key features, explains why it’s advantageous for lakehouse workloads, and provides a step‑by‑step Docker‑Compose setup to integrate Iceberg with StarRocks for fast, ACID‑compliant analytics on real‑world taxi data.

Apache IcebergData EngineeringDocker

0 likes · 15 min read

StarRocks

Aug 30, 2024 · Databases

How Cloud‑Native Persistent Index Boosts StarRocks Performance 10× in Elastic Scheduling

StarRocks 3.3.1 introduces a cloud‑native persistent index that moves index files to object storage, eliminates local‑disk constraints, and supports elastic scaling, delivering up to ten‑fold latency improvement over local‑disk indexes in elastic scheduling while matching performance in batch and real‑time imports.

DatabaseStarRockscloud native

0 likes · 11 min read

StarRocks

Aug 14, 2024 · Big Data

Mastering StarRocks & Apache Paimon: A Fast‑Track Lakehouse Guide

This guide provides a comprehensive overview of Apache Paimon’s architecture, key features, and advantages, explains how to integrate it with StarRocks for real‑time lakehouse analytics, and walks through a complete quick‑start setup including component installation, Flink and Kafka deployment, data ingestion, table creation, and query execution with time‑travel support.

Apache PaimonData EngineeringFlink

0 likes · 18 min read

Mastering StarRocks & Apache Paimon: A Fast‑Track Lakehouse Guide