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StarRocks

233 articles · Page 3 of 3
DataFunTalk
DataFunTalk
Jul 30, 2022 · Databases

StarRocks-Based Unified Data Service and Analytics Platform at JD Logistics

JD Logistics leverages StarRocks to create the Udata unified query engine, addressing data silos, low performance, and high maintenance costs by integrating data services and analytics, enabling low‑code data service generation, high‑speed federated queries, real‑time updates, and future data‑lake and resource isolation capabilities.

Data IntegrationDatabaseReal-Time Analytics
0 likes · 14 min read
StarRocks-Based Unified Data Service and Analytics Platform at JD Logistics
DataFunTalk
DataFunTalk
Jul 24, 2022 · Big Data

Real-time Data Warehouse Empowering Fine-grained Intelligent Operations in Finance – A Practical Case Study

This talk by Zhongan Insurance’s Data Senior Director Shi Xingtian outlines the company’s digital transformation, detailing the 4633 framework, the real-time data warehouse architecture, the migration from ClickHouse to StarRocks, and how these technologies support fine‑grained, intelligent financial operations and advertising analytics.

Big DataFinancial AnalyticsStarRocks
0 likes · 14 min read
Real-time Data Warehouse Empowering Fine-grained Intelligent Operations in Finance – A Practical Case Study
StarRocks
StarRocks
Jul 22, 2022 · Big Data

How 37 Mobile Games Boosted Analytics with StarRocks: A Real‑World Performance Case Study

37 Mobile Games, a leading mobile game publisher, migrated its user‑profile analytics from a Hadoop‑Hudi‑Kafka‑Hive‑Flink stack to StarRocks, achieving sub‑second query latency on billion‑row tables, simplifying operations, reducing storage costs, and enabling real‑time data sync, as detailed in this technical case study.

Big DataStarRocksolap
0 likes · 12 min read
How 37 Mobile Games Boosted Analytics with StarRocks: A Real‑World Performance Case Study
HomeTech
HomeTech
Jul 20, 2022 · Big Data

Design and Implementation of a Real-Time Advertising Data Warehouse Using Flink and StarRocks

This article presents a comprehensive case study of building a real‑time advertising data warehouse at Auto Home, detailing the evaluation of streaming engines and storage solutions, the layered architecture design, implementation steps with Flink and StarRocks, monitoring practices, encountered issues, and future roadmap, demonstrating how second‑level data freshness and high accuracy were achieved.

FlinkReal-time Data WarehouseStarRocks
0 likes · 10 min read
Design and Implementation of a Real-Time Advertising Data Warehouse Using Flink and StarRocks
StarRocks
StarRocks
Jul 18, 2022 · Big Data

How Songguo Mobility Built a Real‑Time OLAP Platform with StarRocks: From 1.0 to 3.0

Songguo Mobility’s data‑center team migrated from a fragmented Impala‑Kudu‑ClickHouse stack to a unified StarRocks‑based real‑time OLAP architecture, iterating through three versions to solve scalability, latency, and maintenance challenges while supporting minute‑level dashboards for orders and vehicle analytics.

FlinkKafkaReal-time OLAP
0 likes · 19 min read
How Songguo Mobility Built a Real‑Time OLAP Platform with StarRocks: From 1.0 to 3.0
DataFunTalk
DataFunTalk
Jun 29, 2022 · Big Data

Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits

This article describes how the gaming company Boke City rebuilt its comprehensive data service platform by replacing a CDH‑based Impala solution with StarRocks, detailing the architectural changes, performance benchmark results, and the resulting improvements in query speed, real‑time data updates, and operational simplicity.

Big DataGame AnalyticsStarRocks
0 likes · 14 min read
Migrating a Game Data Platform to StarRocks: Architecture, Performance Gains, and Operational Benefits
StarRocks
StarRocks
Jun 2, 2022 · Big Data

Simplify Real‑Time Data Warehousing with Flink CDC and StarRocks

This article explores how combining Flink CDC with StarRocks can streamline real‑time data pipelines, reduce component complexity, support both full and incremental synchronization, and enable efficient OLAP queries and updates for fast, scalable analytics across diverse business scenarios.

Data WarehouseFlink CDCReal-Time Analytics
0 likes · 18 min read
Simplify Real‑Time Data Warehousing with Flink CDC and StarRocks
StarRocks
StarRocks
May 12, 2022 · Databases

How StarRocks’ Primary Key Model Delivers 3‑5× Faster Real‑Time Queries

This article explains the design and implementation of StarRocks 2.x Primary Key tables, covering real‑time update mechanisms, write and commit workflows, in‑memory primary indexing, compaction, read‑path optimizations, performance benchmarks, and upcoming features such as partial and conditional updates.

IndexingStarRockscompaction
0 likes · 19 min read
How StarRocks’ Primary Key Model Delivers 3‑5× Faster Real‑Time Queries
StarRocks
StarRocks
May 7, 2022 · Databases

How 360 Built a Lightning‑Fast Unified Analytics Platform with StarRocks

Facing massive data storage and query challenges, 360 upgraded its analytics architecture by adopting StarRocks, achieving multi‑dimensional, high‑concurrency analysis, simplified data pipelines, and significant performance and cost improvements across its radar and user‑portrait platforms.

Big DataStarRocksanalytics
0 likes · 10 min read
How 360 Built a Lightning‑Fast Unified Analytics Platform with StarRocks
StarRocks
StarRocks
Apr 24, 2022 · Databases

How StarRocks Transforms a SQL Query into Distributed Execution: A Deep Dive

This article explains how StarRocks converts a SQL statement into an optimal distributed physical execution plan, schedules the plan across compute nodes, and runs it using MPP, pipeline parallelism, and vectorized execution to achieve near‑linear performance scaling.

CBO optimizerMPPSQL query processing
0 likes · 15 min read
How StarRocks Transforms a SQL Query into Distributed Execution: A Deep Dive
StarRocks
StarRocks
Apr 13, 2022 · Big Data

How StarRocks Achieves Lightning‑Fast Data Lake Analytics

This article explains StarRocks' streamlined architecture, cost‑based optimizer, massively parallel processing and vectorized engine, and how they enable high‑performance queries over data stored in Hive, Iceberg, Hudi and other lake formats, backed by benchmark results and future roadmap details.

Big DataCBOData Lake
0 likes · 19 min read
How StarRocks Achieves Lightning‑Fast Data Lake Analytics
DataFunTalk
DataFunTalk
Apr 13, 2022 · Databases

Adopting StarRocks for Real‑Time Analytics in ZhongAn’s JiZhi Platform: A Performance Comparison with ClickHouse

This article describes how ZhongAn Insurance’s JiZhi data‑analysis platform migrated from ClickHouse to the MPP OLAP engine StarRocks, detailing the business requirements, architectural challenges, benchmark results across single‑table and multi‑table queries, and the resulting improvements in latency, concurrency, and operational simplicity for real‑time analytics.

Big DataClickHousePerformance Testing
0 likes · 14 min read
Adopting StarRocks for Real‑Time Analytics in ZhongAn’s JiZhi Platform: A Performance Comparison with ClickHouse
StarRocks
StarRocks
Apr 7, 2022 · Databases

How StarRocks Outperformed ClickHouse in Real‑Time Insurance Data Analytics

This article presents a technical case study of ZhongAn's Jizhi analytics platform, detailing how switching from ClickHouse to the MPP OLAP engine StarRocks resolved multi‑concurrency and join performance bottlenecks, improved real‑time query speed, and enabled near‑billion‑row data handling for insurance business operations.

ClickHouseInsurance TechnologyStarRocks
0 likes · 17 min read
How StarRocks Outperformed ClickHouse in Real‑Time Insurance Data Analytics
StarRocks
StarRocks
Mar 29, 2022 · Big Data

How StarRocks Handles PB‑Scale Real‑Time Analytics with High Availability

This article explains how StarRocks manages petabyte‑level user behavior logs, ads and orders through a shared‑nothing architecture, tablet‑based data distribution, MPP compute, high‑availability metadata, real‑time mini‑batch ingestion, and online schema changes, enabling 24/7 analytical services for diverse internet companies.

MPPReal-Time AnalyticsStarRocks
0 likes · 11 min read
How StarRocks Handles PB‑Scale Real‑Time Analytics with High Availability
StarRocks
StarRocks
Mar 28, 2022 · Backend Development

Scaling Microservice Tracing with Zipkin and StarRocks: A Practical Guide

This article explains how Sohu Smart Media built a high‑performance tracing system for microservices by integrating Zipkin for data collection with StarRocks for storage and analytics, covering architecture, data models, SQL queries, Flink processing, and real‑world results that boost observability and engineering efficiency.

FlinkMicroservicesSQL
0 likes · 31 min read
Scaling Microservice Tracing with Zipkin and StarRocks: A Practical Guide
StarRocks
StarRocks
Mar 23, 2022 · Databases

Accelerating Zepp Health’s Analytics with StarRocks: An OLAP Case Study

Facing inflexible point‑lookup limits and slow query times on HBase, Zepp Health redesigned its massive event‑tracking data pipeline—migrating ingestion through Kafka, Flink, and Hudi to a StarRocks‑based OLAP layer—achieving sub‑100 ms average query latency, 20 % storage savings, and dramatically faster multi‑dimensional analytics.

Big DataFlinkHudi
0 likes · 9 min read
Accelerating Zepp Health’s Analytics with StarRocks: An OLAP Case Study
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 15, 2022 · Big Data

How Modern Data Lake Engines Accelerate Analytics: Inside StarRocks Architecture

This article explains why data lakes are essential for today’s analytics, outlines the three main user demands, defines data lakes, compares rule‑based and cost‑based optimizers, explores record‑oriented versus block‑oriented processing, and details StarRocks’ frontend‑backend architecture and benchmark results.

Analytics EngineBig DataData Lake
0 likes · 17 min read
How Modern Data Lake Engines Accelerate Analytics: Inside StarRocks Architecture
StarRocks
StarRocks
Mar 10, 2022 · Databases

StarRocks 2.0 vs ClickHouse: Benchmark Shows Up to 7× Speed Boost

Community testing of StarRocks 2.0 revealed that, across multiple benchmarks—including low‑cardinality queries, SSB workloads, and high‑concurrency scenarios—StarRocks consistently outperformed ClickHouse and Druid, delivering performance gains ranging from 2‑3× to over 7×.

ClickHouseSSBStarRocks
0 likes · 6 min read
StarRocks 2.0 vs ClickHouse: Benchmark Shows Up to 7× Speed Boost
StarRocks
StarRocks
Mar 4, 2022 · Big Data

How StarRocks Powers Ultra‑Fast Data Lake Analytics: Architecture and Core Techniques

This article explains the fundamentals of data lake analytics, compares optimization strategies such as rule‑based vs cost‑based and record‑oriented vs block‑oriented processing, describes StarRocks' lightweight frontend/backend architecture, and presents benchmark results that demonstrate its performance advantages over competing engines.

Analytics EngineData LakeStarRocks
0 likes · 17 min read
How StarRocks Powers Ultra‑Fast Data Lake Analytics: Architecture and Core Techniques
Dada Group Technology
Dada Group Technology
Feb 25, 2022 · Databases

Practical Deployment and Operation Guide for StarRocks OLAP Database

This article presents a comprehensive overview of StarRocks, covering its key features, deployment challenges, backup and synchronization methods, cluster configuration and upgrade procedures, as well as monitoring and alerting solutions, followed by practical lessons learned from real‑world usage.

BackupMonitoringStarRocks
0 likes · 13 min read
Practical Deployment and Operation Guide for StarRocks OLAP Database
StarRocks
StarRocks
Jan 12, 2022 · Big Data

How Flink + StarRocks Deliver Lightning‑Fast Real‑Time Data Warehousing

This article explains the evolution, challenges, and technical solutions for building an end‑to‑end real‑time data warehouse by combining Apache Flink's stream processing with StarRocks' ultra‑fast OLAP engine, covering architecture, data models, integration methods, best‑practice cases, and future roadmap.

Big DataFlinkReal-time Data Warehouse
0 likes · 21 min read
How Flink + StarRocks Deliver Lightning‑Fast Real‑Time Data Warehousing
StarRocks
StarRocks
Nov 26, 2021 · Big Data

How Autohome Achieved Sub‑Second Real‑Time Analytics with StarRocks

Autohome replaced Flink and Kylin with StarRocks to power sub‑second real‑time OLAP analytics, detailing data sources, pain points, benchmark comparisons against Apache Kylin, ClickHouse, Presto, Spark, and Doris, integration with Flink‑connector, broker‑load scripts, monitoring setup, and lessons learned from large‑scale deployments.

FlinkStarRocksolap
0 likes · 12 min read
How Autohome Achieved Sub‑Second Real‑Time Analytics with StarRocks
HomeTech
HomeTech
Nov 24, 2021 · Databases

Real‑Time Data Analysis at AutoHome: Evaluation and Adoption of StarRocks

This article describes AutoHome's real‑time data analysis architecture, the challenges of existing OLAP solutions, the reasons for choosing StarRocks, detailed performance comparisons with Kylin, ClickHouse, Doris, Presto and Spark, and the practical integration of StarRocks with Flink, broker‑load scripts, and monitoring tools.

FlinkReal-Time AnalyticsStarRocks
0 likes · 9 min read
Real‑Time Data Analysis at AutoHome: Evaluation and Adoption of StarRocks
StarRocks
StarRocks
Nov 24, 2021 · Big Data

Building a Scalable OLAP Platform at SF Express: StarRocks Evaluation and Lessons

SF Express’s data engineering team details how they migrated from a mixed‑component OLAP stack to a unified StarRocks platform, describing the evaluation criteria, performance‑critical design choices, import and query optimizations, and future roadmap for a high‑availability, low‑cost big‑data analytics solution.

Big DataSF ExpressStarRocks
0 likes · 14 min read
Building a Scalable OLAP Platform at SF Express: StarRocks Evaluation and Lessons
StarRocks
StarRocks
Nov 9, 2021 · Databases

Unlocking Database Speed: Highlights from StarRocks Vectorization Meetup

The first StarRocks Hacker Meetup recapped essential techniques for building high‑performance databases, covering CPU vectorization basics, key optimization strategies, and a preview of the upcoming session on real‑time updates and storage engine redesign, all presented by community experts.

Database PerformanceReal-time UpdatesStarRocks
0 likes · 6 min read
Unlocking Database Speed: Highlights from StarRocks Vectorization Meetup
StarRocks
StarRocks
Oct 27, 2021 · Databases

How StarRocks 1.19 Boosts Join Performance and Adds Primary Key Support

StarRocks 1.19 introduces a Global Runtime Filter that speeds up joins up to six‑fold, adds BE‑level disk balancing, launches an experimental Primary Key table type with near‑duplicate‑key read performance, enables external‑table writes between clusters, and includes a host of CPU‑cache and query‑optimizations.

DatabaseExternal TableOptimization
0 likes · 7 min read
How StarRocks 1.19 Boosts Join Performance and Adds Primary Key Support
Ctrip Technology
Ctrip Technology
Oct 21, 2021 · Databases

Adopting StarRocks for Ctrip's Large-Scale Hotel Data Platform: Architecture, Performance, and Operations

This article describes how Ctrip's hotel data platform migrated from ClickHouse to StarRocks, detailing the platform's current state, pain points, the evaluation and selection of StarRocks, its architecture, performance benchmarks, data ingestion models, high‑availability design, and future migration plans.

ClickHousePerformance TestingStarRocks
0 likes · 13 min read
Adopting StarRocks for Ctrip's Large-Scale Hotel Data Platform: Architecture, Performance, and Operations
StarRocks
StarRocks
Sep 30, 2021 · Databases

Master StarRocks Lateral Join & Unnest for Efficient Row‑to‑Column Transformations

StarRocks 1.18 introduces Lateral Join + Unnest for elegant row‑to‑multiple‑row conversion, Fast Decimal with up to 38‑digit precision and 4× faster arithmetic, extensive Bitmap function enhancements, and a suite of import, storage, operator, and ecosystem optimizations that dramatically boost query performance and scalability.

Bitmap optimizationFast DecimalLATERAL JOIN
0 likes · 7 min read
Master StarRocks Lateral Join & Unnest for Efficient Row‑to‑Column Transformations