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StarRocks

262 articles · Page 2 of 3
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Feb 20, 2025 · Big Data

How Xiaohongshu Accelerated Data Warehouse Queries with Logical Datasets & Materialized Views

Xiaohongshu tackled low reuse of APP tables, limited scalability of single-table BI datasets, and poor dashboard query performance by introducing logical datasets and materialized views, which enable query pruning, reduce data redundancy, and accelerate BI queries, achieving up to 80% latency reduction and higher hit rates.

BIMaterialized ViewQuery Optimization
0 likes · 25 min read
How Xiaohongshu Accelerated Data Warehouse Queries with Logical Datasets & Materialized Views
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.

DataCacheLakehouseSelf‑service analytics
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.

Compute-Storage SeparationKubernetesLakehouse
0 likes · 25 min read
StarRocks Compute‑Storage Separation Cuts Costs 40% and Boosts Efficiency 20% at DMALL
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 25, 2024 · Big Data

Build a Low‑Cost, High‑Performance Game Player Profiling Platform with Alibaba Cloud EMR StarRocks

This tutorial walks you through using Alibaba Cloud EMR Serverless StarRocks and Apache Paimon to create a cost‑effective, high‑performance game player profiling and behavior analysis platform, covering data import, materialized view creation, DWD/ADS layer construction, and lakehouse integration.

Alibaba CloudData LakeGame Analytics
0 likes · 12 min read
Build a Low‑Cost, High‑Performance Game Player Profiling Platform with Alibaba Cloud EMR StarRocks
58 Tech
58 Tech
Dec 19, 2024 · Big Data

Architecture Evolution and Implementation of the Intelligent Acceleration Engine in the 58 Big Data Platform

The article details the background, architectural analysis, multi‑tenant redesign, engine selection enhancements, compatibility adaptations, stability fixes, containerized deployment, performance optimizations, and measurable business outcomes of the Intelligent Acceleration Engine upgrade using Apache Kyuubi and StarRocks within the 58 big data platform.

Apache KyuubiContainerizationSQL optimization
0 likes · 12 min read
Architecture Evolution and Implementation of the Intelligent Acceleration Engine in the 58 Big Data Platform
58 Tech
58 Tech
Dec 18, 2024 · Big Data

Architecture Evolution and Capability Building of the Smart Acceleration Engine in the 58 Big Data Platform

The article details the background, architectural challenges, and comprehensive redesign of the Smart Acceleration Engine—including multi‑tenant support, cross‑datacenter scheduling, enriched engine selection, parsing and forwarding enhancements, compatibility adaptations, stability fixes, containerized deployment, and performance gains—demonstrating significant operational improvements and future directions for the platform.

Apache KyuubiPerformance OptimizationSmart Acceleration Engine
0 likes · 14 min read
Architecture Evolution and Capability Building of the Smart Acceleration Engine in the 58 Big Data Platform
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
Open Source Tech Hub
Open Source Tech Hub
Nov 16, 2024 · Databases

Build Real‑Time Analytics with StarRocks: Quickstart Tutorial and Sample Queries

This guide introduces StarRocks, a high‑performance MPP database, explains its architecture and typical use cases, walks through a Docker‑based quickstart, shows how to create databases and tables, load NYC crash and weather datasets via Stream Load, and demonstrates analytical SQL queries that reveal traffic‑accident patterns under different weather conditions.

DockerMPP databaseReal-time Analytics
0 likes · 18 min read
Build Real‑Time Analytics with StarRocks: Quickstart Tutorial and Sample Queries
Big Data Technology & Architecture
Big Data Technology & Architecture
Nov 1, 2024 · Big Data

Real‑Time Lakehouse Architecture at Ximalaya Live: Leveraging Flink, Paimon, and StarRocks

This article details Ximalaya Live's transition from an offline‑centric data warehouse to a real‑time lakehouse using Flink, Paimon, and StarRocks, covering business background, architectural challenges, technology evaluation, implementation steps, encountered issues, performance gains, and future expansion plans.

FlinkLakehousePaimon
0 likes · 12 min read
Real‑Time Lakehouse Architecture at Ximalaya Live: Leveraging Flink, Paimon, and StarRocks
Shopee Tech Team
Shopee Tech Team
Oct 25, 2024 · Big Data

StarRocks at Shopee: Practical Use Cases and Performance Analysis

Shopee’s deployment of StarRocks across DataService, DataGo, and DataStudio demonstrates that its vectorized engine, cost‑based optimizer, and materialized‑view caching can query Hive, Iceberg, Delta Lake and Hudi up to 20,000× faster than Presto, cutting CPU usage and delivering consistently lower latency for complex analytics.

Data LakeHiveMPP
0 likes · 11 min read
StarRocks at Shopee: Practical Use Cases and Performance Analysis
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
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Sep 13, 2024 · Big Data

How Qimao Scales 20PB Data with StarRocks, Flink, and Real‑Time Analytics

Qimao, a Shanghai‑based cultural entertainment internet firm, details its 20 PB big‑data architecture built on StarRocks, Flink, Hive, and Redis, covering data ingestion, real‑time processing, audience selection, metric anomaly drill‑down, 730‑day aggregation, and future plans for metric acceleration and full‑link data governance.

FlinkStarRocksbig data
0 likes · 13 min read
How Qimao Scales 20PB Data with StarRocks, Flink, and Real‑Time Analytics
StarRocks
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 IcebergDockerLakehouse
0 likes · 15 min read
Accelerate Lakehouse Queries: A Hands‑On Guide to StarRocks + Apache Iceberg
StarRocks
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.

PerformanceStarRockscloud-native
0 likes · 11 min read
How Cloud‑Native Persistent Index Boosts StarRocks Performance 10× in Elastic Scheduling
StarRocks
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 PaimonFlinkKafka
0 likes · 18 min read
Mastering StarRocks & Apache Paimon: A Fast‑Track Lakehouse Guide
StarRocks
StarRocks
Aug 9, 2024 · Big Data

How Pinterest Cut Query Latency by 50% with StarRocks Migration

Pinterest migrated its Partner Insights analytics from Druid to StarRocks, achieving a 50% reduction in p90 latency, a six‑fold cost‑performance improvement, and simplified data ingestion, illustrating the benefits of a modern MPP database for real‑time ad analytics.

AnalyticsMPPPinterest
0 likes · 6 min read
How Pinterest Cut Query Latency by 50% with StarRocks Migration
Wukong Talks Architecture
Wukong Talks Architecture
Aug 6, 2024 · Databases

Migrating Tencent Music's Data Infrastructure from ClickHouse and Druid to StarRocks: Strategy, Implementation, and Best Practices

This article details how Tencent Music’s data‑infrastructure team migrated thousands of ClickHouse and Druid nodes to a StarRocks compute‑storage‑separated lakehouse, achieving 40‑50% cost reduction while maintaining query performance, and shares the technical challenges, solutions, and best‑practice recommendations gathered during the process.

ClickHouseDruidLakehouse
0 likes · 19 min read
Migrating Tencent Music's Data Infrastructure from ClickHouse and Druid to StarRocks: Strategy, Implementation, and Best Practices
StarRocks
StarRocks
Aug 1, 2024 · Big Data

How Kingsoft Office Boosted Query Speed 2.3× with StarRocks 3.0

Kingsoft Office migrated its reporting platform from a multi‑engine stack to StarRocks 3.0, achieving a 48.84% performance gain, halving query latency, reducing operational costs, and improving resource utilization while supporting storage‑compute separation and seamless Trino SQL compatibility.

StarRocksStorage-Compute Separationbig data
0 likes · 14 min read
How Kingsoft Office Boosted Query Speed 2.3× with StarRocks 3.0
Wukong Talks Architecture
Wukong Talks Architecture
Jul 23, 2024 · Databases

An Overview of StarRocks: Architecture, Features, and Performance Benchmarks

StarRocks, an open‑source, high‑performance MPP analytical database under the Linux Foundation, offers vectorized engines, CBO optimizer, materialized views, and storage‑compute separation, integrates with BI tools and data lakes, and demonstrates superior query speed in benchmark tests against ClickHouse, Druid, and Trino.

MPPStarRocksanalytical database
0 likes · 10 min read
An Overview of StarRocks: Architecture, Features, and Performance Benchmarks
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 22, 2024 · Databases

Why StarRocks Is Redefining Fast Unified OLAP Analytics

StarRocks combines vectorized execution, a new cost‑based optimizer, materialized views, a real‑time storage engine, pipeline execution, and distributed joins to deliver a unified, high‑performance OLAP solution that supports both traditional and lakehouse analytics while reducing operational complexity.

CBOLakehouseOLAP
0 likes · 14 min read
Why StarRocks Is Redefining Fast Unified OLAP Analytics
StarRocks
StarRocks
Jul 17, 2024 · Databases

Unlock 30% Faster Queries: StarRocks on AWS Graviton3 Performance Deep Dive

This article examines how StarRocks, a next‑generation MPP database, leverages AWS Graviton3 instances to achieve over 30% query speed improvement and 15% cost reduction compared with x86 C6i instances, detailing benchmark methodology, hardware specs, SIMD optimizations, and real‑world OLAP results.

AWS Graviton3MPP databaseStarRocks
0 likes · 11 min read
Unlock 30% Faster Queries: StarRocks on AWS Graviton3 Performance Deep Dive
Sohu Tech Products
Sohu Tech Products
Jul 10, 2024 · Industry Insights

How StarRocks and Apache Paimon Transform Data Lake Analytics and Migration

This article provides a practical deep‑dive into StarRocks and Apache Paimon, covering data‑lake fundamentals, the technical advantages of both platforms, performance gains over traditional engines, step‑by‑step migration strategies, deployment options on Alibaba Cloud EMR, and future roadmap plans.

Apache PaimonData LakeQuery Optimization
0 likes · 15 min read
How StarRocks and Apache Paimon Transform Data Lake Analytics and Migration
DataFunTalk
DataFunTalk
Jul 6, 2024 · Big Data

StarRocks and Paimon Data Lake Capabilities, Migration Solutions, and Future Roadmap

This article presents a practical overview of StarRocks and Apache Paimon data‑lake capabilities, explains their performance advantages, details migration strategies from Trino/Presto and other engines, describes cluster‑to‑cluster migration, and outlines future roadmap for integration and optimization.

Cloud ComputingData LakePaimon
0 likes · 13 min read
StarRocks and Paimon Data Lake Capabilities, Migration Solutions, and Future Roadmap
DeWu Technology
DeWu Technology
Jul 5, 2024 · Databases

StarRocks 2.5.13 Cross-Cluster Upgrade and Data Migration Practices

The article outlines a cross‑cluster upgrade to StarRocks 2.5.13, evaluating resource and stability costs, and presents two migration schemes—using external tables and a Flink connector—along with planning, parallel execution, validation steps, and results showing successful migration of over 10 TB at 2 Gb/s across ten nodes, while noting future automation and CDC enhancements.

External TableFlinkSQL
0 likes · 15 min read
StarRocks 2.5.13 Cross-Cluster Upgrade and Data Migration Practices
StarRocks
StarRocks
Jul 2, 2024 · Big Data

What’s New in StarRocks 3.3? Deep Dive into Lakehouse‑Optimized Performance and Features

StarRocks 3.3 introduces a comprehensive set of enhancements—including maturity levels, ARM‑optimized performance, advanced caching, materialized‑view rewrites, storage optimizations, and expanded lakehouse ecosystem support—that together boost stability, query speed, and usability for large‑scale analytics workloads.

LakehouseMaterialized ViewStarRocks
0 likes · 15 min read
What’s New in StarRocks 3.3? Deep Dive into Lakehouse‑Optimized Performance and Features
DataFunSummit
DataFunSummit
Jul 1, 2024 · Big Data

Optimizing JD Retail Data Architecture: From Lambda to Real‑time Unified Processing with Flink, Hudi, and StarRocks

This article details JD Retail's transition from a complex Lambda architecture to a unified real‑time data pipeline using Flink, Hudi, and StarRocks, addressing data completeness versus latency, reducing maintenance costs, improving storage efficiency, and delivering faster, more consistent analytics for business users.

FlinkHudiJD Retail
0 likes · 13 min read
Optimizing JD Retail Data Architecture: From Lambda to Real‑time Unified Processing with Flink, Hudi, and StarRocks
StarRocks
StarRocks
Jun 6, 2024 · Big Data

Why StarRocks Beats Trino: A Deep Technical Comparison

This article provides a detailed technical comparison between StarRocks and Trino, covering their shared MPP architecture, cost‑based optimizer, pipeline execution, ANSI SQL support, differences in vectorized execution, materialized view capabilities, caching systems, data source connectors, benchmark results, high‑availability designs, join algorithms, and real‑world user case studies.

MPPMaterialized ViewsStarRocks
0 likes · 20 min read
Why StarRocks Beats Trino: A Deep Technical Comparison
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jun 6, 2024 · Databases

How StarRocks Redefines Lakehouse Architecture with Ultra-Fast Unified Analytics

StarRocks combines extreme query speed and a unified architecture to deliver a lakehouse solution that separates storage and compute, supports multi‑warehouse resource isolation, offers Trino compatibility, materialized‑view acceleration, and cost‑effective scaling, making it suitable for real‑time analytics, data‑lake queries, and traditional OLAP workloads.

LakehouseReal-time AnalyticsStarRocks
0 likes · 23 min read
How StarRocks Redefines Lakehouse Architecture with Ultra-Fast Unified Analytics
StarRocks
StarRocks
May 22, 2024 · Big Data

Unlocking Data Lake Power: Iceberg Architecture & StarRocks Acceleration

Apache Iceberg offers a modern, ACID‑compliant table format for data lakes with features like hidden partitions and schema evolution, while StarRocks provides high‑performance query acceleration, metadata caching, and distributed planning to address Iceberg’s latency challenges, enabling seamless lake‑warehouse integration and real‑time analytics.

Apache IcebergData LakeMetadata Caching
0 likes · 19 min read
Unlocking Data Lake Power: Iceberg Architecture & StarRocks Acceleration
StarRocks
StarRocks
May 14, 2024 · Artificial Intelligence

How Tencent Games Boosted AI‑Generated SQL Accuracy to 89% with a Lakehouse Architecture

Tencent Games tackled the low accuracy of AI‑generated SQL in production by combining large language models with a StarRocks lake‑warehouse, introducing a semantic layer, async materialized views, and an agent‑based multi‑intelligence framework, ultimately raising one‑shot SQL correctness to 89% and cutting delivery time from 2 hours to 0.33 hours.

AILLMLakehouse
0 likes · 13 min read
How Tencent Games Boosted AI‑Generated SQL Accuracy to 89% with a Lakehouse Architecture
StarRocks
StarRocks
Apr 25, 2024 · Big Data

How StarRocks Beats Trino: 4.3× Faster Queries on Apache Paimon Lakehouse

This article explains how to build a high‑performance data‑lake analytics stack by combining StarRocks with Apache Paimon, covering direct queries, Data Cache acceleration, and asynchronous materialized views, and presents benchmark results that show StarRocks achieving up to 4.3× faster query speeds than Trino and significant latency reductions with caching and materialized views.

Apache PaimonData CacheData Lake
0 likes · 12 min read
How StarRocks Beats Trino: 4.3× Faster Queries on Apache Paimon Lakehouse
DataFunTalk
DataFunTalk
Apr 20, 2024 · Big Data

Tencent Video Metrics Middle Platform and Lakehouse Integration: Architecture, Governance, and Practices

This article details Tencent Video’s data business, describing the design and implementation of its metrics middle platform and lake‑warehouse integration, covering architecture, governance, consistency, timeliness, usability, cost optimization, and future plans, with insights into technology choices such as Iceberg, StarRocks, and MQL.

LakehouseMetrics PlatformStarRocks
0 likes · 18 min read
Tencent Video Metrics Middle Platform and Lakehouse Integration: Architecture, Governance, and Practices
StarRocks
StarRocks
Apr 18, 2024 · Databases

Master StarRocks Deployment and Optimization: From Capacity Planning to Query Tuning

This comprehensive guide walks you through StarRocks production deployment, covering capacity planning, hardware specs, environment setup, table modeling, partitioning, bucketing, index selection, data import best practices, query optimization, monitoring, and resource‑group configuration, all backed by concrete SQL examples and configuration commands.

Query OptimizationStarRocksdeployment
0 likes · 20 min read
Master StarRocks Deployment and Optimization: From Capacity Planning to Query Tuning
Didi Tech
Didi Tech
Mar 28, 2024 · Big Data

How We Unified Real‑Time and Batch Features with StarRocks in Financial Risk Control

This article analyzes the challenges of building real‑time and batch risk‑control features, compares Lambda and Kappa architectures, evaluates storage‑unified and compute‑unified solutions, and details how StarRocks was selected, validated, and deployed to achieve high‑performance, low‑latency feature serving in a financial context.

Real-time AnalyticsStarRocksbig data
0 likes · 19 min read
How We Unified Real‑Time and Batch Features with StarRocks in Financial Risk Control
StarRocks
StarRocks
Mar 26, 2024 · Big Data

How Replacing Spark with StarRocks Cut Data Refresh Time by 90% and Saved 99% Cost

The article details how the Xiaohongshu data warehouse team integrated StarRocks into their offline processing pipeline, replacing Spark for heavy Cube calculations, which reduced job execution from hours to minutes, cut resource consumption by over 90%, advanced daily data output by 1.5 hours, and lowered refresh cost by more than 99%.

OLAPPerformance OptimizationSpark
0 likes · 18 min read
How Replacing Spark with StarRocks Cut Data Refresh Time by 90% and Saved 99% Cost
StarRocks
StarRocks
Mar 19, 2024 · Databases

How StarRocks Powers Data‑Driven Financial Marketing at Ping An Bank

This article explains how Ping An Bank transformed its retail finance model from product‑centric to customer‑centric using a five‑in‑one data‑driven approach, the KYC/KYP/KYATO methodology, and the StarRocks analytics platform to build the Smart Bank 3.0 architecture, CDP, and real‑time metric layers.

Customer 360Financial MarketingStarRocks
0 likes · 14 min read
How StarRocks Powers Data‑Driven Financial Marketing at Ping An Bank
DataFunSummit
DataFunSummit
Mar 14, 2024 · Big Data

Tencent Game Data Analysis: Lakehouse Integration Practice

This article presents Tencent Game's comprehensive lakehouse integration practice, detailing the project background, storage‑compute separation, data layering, unified DDL/DML operations, performance optimizations, and future plans, illustrating how StarRocks, Iceberg, and Spark are combined to achieve scalable, cost‑effective analytics for massive game data.

Compute-Storage SeparationLakehousePerformance Optimization
0 likes · 16 min read
Tencent Game Data Analysis: Lakehouse Integration Practice
StarRocks
StarRocks
Mar 13, 2024 · Databases

Master StarRocks: Simplify Partitioning, Data Import, and Table Optimization

This guide walks you through using StarRocks—covering effortless expression‑based partitioning, streamlined data loading with INSERT FROM FILES and PIPE, powerful in‑flight data transformation using SELECT/JOIN/UNNEST, and flexible table structure tweaks via ALTER TABLE to boost query performance.

PartitioningPipeSQL
0 likes · 16 min read
Master StarRocks: Simplify Partitioning, Data Import, and Table Optimization
StarRocks
StarRocks
Feb 29, 2024 · Databases

How a Student Built an ORC Chunk Writer for StarRocks: Insights from Open Source Summer

In this interview, graduate student Sun Yinzhen shares how he selected, designed, and implemented an ORC Chunk Writer for the StarRocks database during the Open Source Summer program, detailing the technical challenges, learning outcomes, and his perspective on open‑source contributions for computer science students.

ORCStarRocksStudent Contribution
0 likes · 12 min read
How a Student Built an ORC Chunk Writer for StarRocks: Insights from Open Source Summer
Didi Tech
Didi Tech
Feb 27, 2024 · Big Data

Real-time Precise Deduplication Using StarRocks Materialized Views at Didi

Didi leverages StarRocks materialized views with a global dictionary and bitmap aggregation to perform real‑time, high‑cardinality precise deduplication, automatically rewriting queries and refreshing views, cutting query latency by ~80%, reducing resource use ~95%, and boosting concurrent QPS up to 100‑fold, while planning further automation and bitmap optimizations.

Materialized ViewsOLAPPrecise Deduplication
0 likes · 19 min read
Real-time Precise Deduplication Using StarRocks Materialized Views at Didi
StarRocks
StarRocks
Feb 27, 2024 · Databases

How StarRocks Materialized Views Enable High‑Concurrency Precise Deduplication

StarRocks’ materialized view feature lets Didi replace costly fuzzy deduplication with precise, high‑concurrency deduplication for real‑time dashboards, using global dictionary mapping, layered ODS/DWD/ADS views, synchronous and asynchronous refreshes, and transparent query rewrite to cut query latency by 80% and boost QPS dramatically.

Materialized ViewsOLAPPrecise Deduplication
0 likes · 20 min read
How StarRocks Materialized Views Enable High‑Concurrency Precise Deduplication
DataFunSummit
DataFunSummit
Feb 26, 2024 · Big Data

Building a New Lakehouse Analytics Paradigm with StarRocks and Paimon

This article introduces a new lakehouse analytics paradigm by combining StarRocks and Paimon, covering the evolution of data lake technologies, key integration scenarios, core technical mechanisms such as JNI connectors, materialized views, and future roadmap for enhanced lakehouse capabilities.

AnalyticsData LakeLakehouse
0 likes · 16 min read
Building a New Lakehouse Analytics Paradigm with StarRocks and Paimon
DataFunSummit
DataFunSummit
Feb 1, 2024 · Databases

StarRocks 3.0 Storage‑Compute Separation Architecture: Design, Implementation, and Evaluation

This article explains the storage‑compute separation architecture introduced in StarRocks 3.0, presents industry case studies, details the design of StarOS and compute nodes, discusses technical challenges and key techniques, and evaluates cost, reliability, elasticity, and performance through benchmarks and user feedback.

StarRockscloud-nativedistributed databases
0 likes · 11 min read
StarRocks 3.0 Storage‑Compute Separation Architecture: Design, Implementation, and Evaluation
Sohu Tech Products
Sohu Tech Products
Jan 31, 2024 · Industry Insights

How Didi Scaled Real‑Time Dashboards with StarRocks Materialized Views

This article details Didi's evolution from a multi‑engine OLAP stack to a unified StarRocks solution, explains the design of global dictionaries and materialized views for real‑time dashboard acceleration, and shares performance results, challenges, and future optimization directions.

DidiMaterialized ViewsOLAP
0 likes · 19 min read
How Didi Scaled Real‑Time Dashboards with StarRocks Materialized Views
StarRocks
StarRocks
Jan 30, 2024 · Big Data

How InLong Guarantees Exactly‑Once Real‑Time Writes to StarRocks

This article explains how Apache InLong provides automatic, secure, high‑performance real‑time data transfer to StarRocks, detailing the transactional Stream Load API, the two‑phase commit process, Flink‑based ingestion architecture, exactly‑once guarantees, and performance test results across different parallelism levels.

Exactly-OnceInLongStarRocks
0 likes · 11 min read
How InLong Guarantees Exactly‑Once Real‑Time Writes to StarRocks
Big Data Technology & Architecture
Big Data Technology & Architecture
Jan 29, 2024 · Databases

Practical Experience of StarRocks Materialized Views at Didi

This article details Didi's evolution of OLAP systems, the adoption of StarRocks for high‑performance MPP analytics, and how materialized views, global dictionary mapping, and transparent acceleration were engineered to boost real‑time dashboard queries while outlining performance gains, challenges, and future optimization plans.

DidiMaterialized ViewOLAP
0 likes · 16 min read
Practical Experience of StarRocks Materialized Views at Didi
DataFunTalk
DataFunTalk
Jan 28, 2024 · Databases

Practical Experience of StarRocks Materialized Views at Didi

This article presents Didi's practical experience with StarRocks materialized views, covering the evolution of its OLAP architecture, the challenges of previous engines, the adoption of StarRocks, the design of materialized view acceleration for real‑time dashboards, and future optimization directions.

Materialized ViewOLAPPerformance Optimization
0 likes · 17 min read
Practical Experience of StarRocks Materialized Views at Didi
Past Memory Big Data
Past Memory Big Data
Jan 17, 2024 · Big Data

How WeChat Implements a StarRocks‑Powered Lakehouse Across Multiple Business Scenarios

WeChat evolved its data platform from Hadoop to ClickHouse and finally to a StarRocks‑based lakehouse, solving data fragmentation and storage redundancy while achieving sub‑second to minute‑level query latency, cutting storage costs by over 65%, halving operational tasks, and reducing offline job time by two hours across several business lines.

LakehouseMaterialized ViewsReal-time Analytics
0 likes · 16 min read
How WeChat Implements a StarRocks‑Powered Lakehouse Across Multiple Business Scenarios
StarRocks
StarRocks
Jan 10, 2024 · Big Data

How Tencent Built the ABetterChoice SaaS A/B Testing Platform for Global Games

In 2022 Tencent's A/B Test team created the overseas SaaS product ABetterChoice, abstracting internal experiment capabilities, adapting to multi‑cloud compliance, and unifying computation with StarRocks, enabling game titles like Honor of Kings, PUBG Mobile, and Ubisoft to run scalable, compliant A/B experiments worldwide.

A/B testingData LakeMulti-Cloud
0 likes · 14 min read
How Tencent Built the ABetterChoice SaaS A/B Testing Platform for Global Games
Weimob Technology Center
Weimob Technology Center
Jan 2, 2024 · Big Data

How to Efficiently Test BI Reports in a Hive‑StarRocks Data Warehouse

This article details practical methods for testing BI reports built on Hive and StarRocks, covering the report creation workflow, testing characteristics, SQL writing techniques, impact analysis, data warehouse simplification, and the application of data quality tools to ensure accurate and efficient reporting.

BI testingData QualityHive
0 likes · 9 min read
How to Efficiently Test BI Reports in a Hive‑StarRocks Data Warehouse
Zhuanzhuan Tech
Zhuanzhuan Tech
Dec 27, 2023 · Big Data

Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned

This article presents a comprehensive case study of building a self‑service OLAP analytics platform at ZhaiZhai using Quick BI and StarRocks, covering background motivations, technical architecture, implementation details, performance‑optimizing case studies, and the resulting business impact.

OLAPPerformance OptimizationQuick BI
0 likes · 16 min read
Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Dec 27, 2023 · Big Data

Recap of Tongcheng Travel’s 7th Big Data Technology Salon – Talks on StarRocks, Paimon, Iceberg, Data+AI, Vector Retrieval, Real‑Time Computing, and Hotel Ranking

The 7th Tongcheng Travel Big Data Technology Salon in Beijing featured a series of expert talks covering StarRocks architecture evolution, lake‑house solutions with Paimon, Iceberg real‑time upsert, Data+AI for travel recommendation, vector retrieval in AI, JD Logistics real‑time computing governance, and multi‑task hotel ranking modeling, providing deep technical insights and future roadmaps.

AILakehousePaimon
0 likes · 10 min read
Recap of Tongcheng Travel’s 7th Big Data Technology Salon – Talks on StarRocks, Paimon, Iceberg, Data+AI, Vector Retrieval, Real‑Time Computing, and Hotel Ranking
StarRocks
StarRocks
Dec 22, 2023 · Databases

What’s New in StarRocks 3.2? Key Features and Usability Enhancements

StarRocks 3.2, released on December 21, 2023, introduces major usability upgrades—including optimized random bucketing, fast schema evolution, PIPE import, HTTP SQL API, runtime profiling, enhanced storage‑compute separation, data lake analysis, and advanced materialized view capabilities—while refining existing features such as indexing, catalog support, and export syntax.

StarRocksUsabilitydatabase
0 likes · 15 min read
What’s New in StarRocks 3.2? Key Features and Usability Enhancements
StarRocks
StarRocks
Dec 19, 2023 · Big Data

How WeChat Achieved Sub‑Second Real‑Time Analytics with StarRocks Lakehouse

WeChat transformed its data platform from Hadoop and ClickHouse to a StarRocks‑based lakehouse, tackling massive data volume, ultra‑low latency, and storage fragmentation by deploying lake‑on‑warehouse and warehouse‑lake fusion architectures, real‑time incremental materialized views, and unified SQL access, resulting in dramatic cost cuts and performance gains.

LakehouseMaterialized ViewStarRocks
0 likes · 15 min read
How WeChat Achieved Sub‑Second Real‑Time Analytics with StarRocks Lakehouse
StarRocks
StarRocks
Dec 12, 2023 · Databases

How StarRocks Enables Real-Time Updates in Analytical Databases

The article explains why analytical databases struggle with real‑time data changes due to columnar storage, complex indexes and distributed processing, and then details StarRocks' primary‑key model, adaptive update mode, bitmap indexes, row/column partial updates, and practical SQL upsert techniques to achieve low‑latency updates without sacrificing query performance.

Partial UpdateReal-Time UpdateSQL
0 likes · 15 min read
How StarRocks Enables Real-Time Updates in Analytical Databases
DataFunSummit
DataFunSummit
Dec 11, 2023 · Big Data

Design and Implementation of a Big Data Metadata Warehouse at Bilibili

This article presents Bilibili's big‑data metadata warehouse, covering its background, technology selection between data‑lake and data‑warehouse solutions, the architecture built on Prometheus, StarRocks, Flink and Routine Load, performance comparisons, diagnostic system design, and future development plans.

DiagnosticsFlinkMetadata Warehouse
0 likes · 20 min read
Design and Implementation of a Big Data Metadata Warehouse at Bilibili
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 8, 2023 · Cloud Computing

How Alibaba Cloud EMR Powers Serverless StarRocks for Seamless Lakehouse Analytics

This article summarizes Li Yu's presentation on Alibaba Cloud EMR's deep collaboration with the StarRocks community, detailing major contributions across versions, the serverless StarRocks product’s core capabilities, and future plans to enhance OLAP‑lakehouse integration, performance, and cloud‑native elasticity.

Alibaba CloudCloud ComputingEMR
0 likes · 7 min read
How Alibaba Cloud EMR Powers Serverless StarRocks for Seamless Lakehouse Analytics
政采云技术
政采云技术
Nov 28, 2023 · Databases

Deploying StarRocks 3 on ARM Architecture Using Docker

This guide explains how to deploy the high‑performance MPP database StarRocks 3 on ARM servers by using Docker images, configuring FE and BE nodes, adjusting Java versions, integrating with Hadoop/Hive, and setting up monitoring and log‑cleanup scripts.

ARMDatabase deploymentDocker
0 likes · 12 min read
Deploying StarRocks 3 on ARM Architecture Using Docker
StarRocks
StarRocks
Nov 23, 2023 · Databases

How StarRocks Redefines Lakehouse Architecture with Compute‑Storage Separation

StarRocks, an open‑source MPP analytical database, consolidates BI, interactive, and real‑time analytics into a single engine by evolving from version 1.0 to 3.x, introducing compute‑storage separation, unified catalog, generated columns, operator spill, and advanced materialized views, while outlining its cloud‑native lakehouse roadmap.

Compute-Storage SeparationLakehouseMPP database
0 likes · 22 min read
How StarRocks Redefines Lakehouse Architecture with Compute‑Storage Separation
StarRocks
StarRocks
Nov 22, 2023 · Big Data

How StarRocks’ Compute‑Storage Separation Cut Costs 46% and Boosted Performance

This article details a Chinese tech company's migration of its internal big‑data analytics platform to StarRocks’ compute‑storage separation architecture, describing the original multi‑component setup, the pain points encountered, the evaluation methodology, performance and cost benchmarks, operational optimizations, migration steps, and future roadmap.

Compute-Storage SeparationData LakeKubernetes
0 likes · 17 min read
How StarRocks’ Compute‑Storage Separation Cut Costs 46% and Boosted Performance
StarRocks
StarRocks
Nov 3, 2023 · Databases

How StarRocks’ Spill to Disk Boosts Query Stability and Performance

StarRocks introduces a spill-to-disk mechanism that writes intermediate results of heavy operators to disk, freeing memory and enabling stable execution of ETL and ad‑hoc queries, while combined with materialized views it dramatically improves query success rates and delivers up to 4.35× faster performance than Spark.

Database OptimizationMaterialized ViewsSpill
0 likes · 10 min read
How StarRocks’ Spill to Disk Boosts Query Stability and Performance
StarRocks
StarRocks
Oct 31, 2023 · Databases

How Ctrip Accelerated Report Queries 10× with StarRocks: A Real‑World Lakehouse Migration

Ctrip migrated its Artnova reporting platform from Hive‑based queries to StarRocks, first loading data into OLAP tables and then using StarRocks as a lakehouse with Hive catalog, Data Cache and materialized views, achieving average query latency reductions from 20 seconds to 1.5 seconds, over 7× speed‑up versus Trino and up to 40× acceleration for complex workloads.

Data CacheLakehouseMaterialized View
0 likes · 15 min read
How Ctrip Accelerated Report Queries 10× with StarRocks: A Real‑World Lakehouse Migration
Weimob Technology Center
Weimob Technology Center
Oct 13, 2023 · Big Data

Optimizing StarRocks Tables: Design Tips, Real‑World Cases and Monitoring Strategies

This article explains how to design efficient StarRocks tables with proper field types, partitioning and bucketing, compares update and primary‑key models, presents real‑world cases of memory and tablet issues, provides a complete table‑creation example, and outlines comprehensive monitoring metrics to keep the analytical data warehouse performant and stable.

AnalyticsPartitioningStarRocks
0 likes · 25 min read
Optimizing StarRocks Tables: Design Tips, Real‑World Cases and Monitoring Strategies
Sohu Tech Products
Sohu Tech Products
Oct 11, 2023 · Industry Insights

How StarRocks Materialized Views Power Real‑Time Lakehouse Analytics

The article provides a deep technical overview of StarRocks 3.0’s data‑lake analysis capabilities, its unified Lakehouse architecture, Catalog integration, Trino compatibility, extensive I/O optimizations, materialized view features, resource isolation techniques, real‑world use cases, and future development directions.

AnalyticsData LakeLakehouse
0 likes · 22 min read
How StarRocks Materialized Views Power Real‑Time Lakehouse Analytics
DataFunTalk
DataFunTalk
Sep 16, 2023 · Big Data

StarRocks Data Lake Analysis, Materialized Views, and Lakehouse Architecture

This article explains how StarRocks 3.0 extends real‑time data‑warehouse capabilities to support data‑lake analysis, external catalog integration, Trino compatibility, extensive I/O optimizations, and powerful materialized‑view features that together enable a unified, cloud‑native Lakehouse solution with high performance and flexible resource isolation.

Data LakeLakehousePerformance
0 likes · 20 min read
StarRocks Data Lake Analysis, Materialized Views, and Lakehouse Architecture
DataFunSummit
DataFunSummit
Sep 8, 2023 · Big Data

Tianqiong OLAP Real‑time Lakehouse Fusion Platform Architecture Practice

This article explains why lake‑warehouse fusion is needed, describes the challenges of integrating real‑time data warehouses with data lakes, introduces a new StarRocks‑based architecture that supports real‑time ingestion, cooling, offline loading, and adaptive hot‑cold query rewriting, and outlines future plans and Q&A.

Data IntegrationLakehouseReal-time OLAP
0 likes · 21 min read
Tianqiong OLAP Real‑time Lakehouse Fusion Platform Architecture Practice
StarRocks
StarRocks
Sep 6, 2023 · Big Data

How Paimon + StarRocks Revolutionize Lakehouse Analytics

This article reviews traditional Lambda and Kappa data‑warehouse architectures, then details four Paimon‑StarRocks lakehouse solutions—including a data‑lake center, accelerated query with materialized views, hot‑cold data separation, and the JNI connector—while also outlining StarRocks’ future roadmap for lakehouse analytics.

LakehouseMaterialized ViewPaimon
0 likes · 11 min read
How Paimon + StarRocks Revolutionize Lakehouse Analytics
StarRocks
StarRocks
Aug 24, 2023 · Databases

How StarRocks Boosted Query Speed 3‑10× for a Billion‑Scale Reporting Platform

Facing massive daily query loads, Wanwu Newborn’s Watcher reporting platform migrated from MySQL, Greenplum, and Trino to StarRocks, cutting compute nodes by half while achieving 3‑10× faster query performance, higher success rates, and lower cost, as demonstrated by TPC‑DS and real‑world business query benchmarks.

OLAPStarRocksmigration
0 likes · 14 min read
How StarRocks Boosted Query Speed 3‑10× for a Billion‑Scale Reporting Platform
StarRocks
StarRocks
Aug 22, 2023 · Databases

How StarRocks Query Cache Supercharges High‑Concurrency Aggregations

StarRocks introduces a Query Cache that stores intermediate aggregation results in memory, enabling reuse across semantically equivalent, partition‑overlapping, or append‑only queries, which can boost query performance by 3‑17× in high‑concurrency scenarios while reducing CPU and disk load.

AggregationHigh ConcurrencyMPP database
0 likes · 13 min read
How StarRocks Query Cache Supercharges High‑Concurrency Aggregations
StarRocks
StarRocks
Aug 9, 2023 · Databases

StarRocks 3.1 Highlights: Faster Lakehouse Analytics and Advanced Materialized Views

StarRocks 3.1 introduces a cloud‑native, lakehouse‑oriented architecture with enhanced storage‑compute separation, up to 3‑6× faster data‑lake queries than Trino/Presto, expanded Iceberg and Paimon support, richer materialized view capabilities, new random bucketing, expression partitioning, generated columns, and spill‑to‑disk stability, all backed by extensive performance optimizations and open‑source contributions.

Data LakeLakehouseMaterialized Views
0 likes · 17 min read
StarRocks 3.1 Highlights: Faster Lakehouse Analytics and Advanced Materialized Views
StarRocks
StarRocks
Jul 27, 2023 · Cloud Native

Deploy StarRocks Quickly with Docker and Kubernetes: Step‑by‑Step Guide

This guide explains how to set up a StarRocks cluster using Docker for rapid testing and the StarRocks Kubernetes Operator for production‑grade deployments, covering architecture basics, required tools, command‑line steps, YAML configuration, and connection methods for both internal and external access.

DockerKubernetesStarRocks
0 likes · 11 min read
Deploy StarRocks Quickly with Docker and Kubernetes: Step‑by‑Step Guide
StarRocks
StarRocks
Jun 29, 2023 · Big Data

How StarRocks Boosted Mango TV’s Data Platform Performance by Over 10×

Mango TV replaced its fragmented EMR‑Hive‑Kudu‑Presto stack with a unified StarRocks lakehouse, simplifying architecture, cutting operational costs, and achieving more than a ten‑fold increase in query speed while supporting real‑time analytics, materialized views, bitmap indexing, and store‑compute separation.

Bitmap IndexMaterialized ViewsStarRocks
0 likes · 14 min read
How StarRocks Boosted Mango TV’s Data Platform Performance by Over 10×
Ctrip Technology
Ctrip Technology
Jun 15, 2023 · Databases

Rebuilding Ctrip Train Ticket Metrics Platform with StarRocks: Architecture, Data Synchronization, and Performance Gains

The article details how Ctrip's train ticket business revamped its multi‑engine OLAP metrics platform by consolidating to the StarRocks MPP database, describing the new architecture, query workflow, data synchronization strategies, practical lessons, and the resulting dramatic improvement in query latency and reliability.

ETLMetrics PlatformSQL
0 likes · 15 min read
Rebuilding Ctrip Train Ticket Metrics Platform with StarRocks: Architecture, Data Synchronization, and Performance Gains
StarRocks
StarRocks
Jun 2, 2023 · Databases

How Tongcheng Travel Scaled Real‑Time Analytics with StarRocks

Tongcheng Travel migrated its multi‑stage OLAP platform from Druid/Kylin and ClickHouse‑Greenplum to a unified StarRocks solution, dramatically improving real‑time query latency, offline report performance, and CDP data processing while reducing operational complexity and enabling cloud‑native deployment.

OLAPStarRocks
0 likes · 14 min read
How Tongcheng Travel Scaled Real‑Time Analytics with StarRocks
DataFunSummit
DataFunSummit
May 30, 2023 · Big Data

DataFunCon Conference – OLAP, StarRocks, ClickHouse, and ByteHouse Technical Sessions

The DataFunCon conference showcases leading experts from Ctrip, Didi, Bilibili, and ByteDance presenting next‑generation OLAP technologies such as StarRocks, ClickHouse, and ByteHouse, covering architecture, materialized views, ELT practices, and performance optimization to guide practitioners in big‑data platform selection and implementation.

ByteHouseClickHouseOLAP
0 likes · 7 min read
DataFunCon Conference – OLAP, StarRocks, ClickHouse, and ByteHouse Technical Sessions
StarRocks
StarRocks
May 26, 2023 · Big Data

How SeaTunnel’s StarRocks Connector Enables High‑Performance Data Sync

This article explains SeaTunnel’s architecture and its StarRocks connector, detailing source and sink features such as field projection, predicate push‑down, parallel reading, state recovery, data type mapping, Stream Load writes, CDC support, configuration examples, and future roadmap for exactly‑once semantics.

ConnectorData IntegrationSeaTunnel
0 likes · 16 min read
How SeaTunnel’s StarRocks Connector Enables High‑Performance Data Sync
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
May 17, 2023 · Databases

StarRocks Production Practice at Tongcheng Travel: Architecture, Use Cases, and Technical Evaluation

This article details Tongcheng Travel’s production deployment of the StarRocks OLAP database, covering background, business scenarios, technical evaluation against ClickHouse and Greenplum, implementation with Flink SQL, real‑time analytics, offline reporting, CDP use cases, performance optimizations, and future cloud‑native plans.

FlinkOLAPReal-time Analytics
0 likes · 12 min read
StarRocks Production Practice at Tongcheng Travel: Architecture, Use Cases, and Technical Evaluation
StarRocks
StarRocks
May 16, 2023 · Databases

How StarRocks’ Compute‑Storage Separation Cuts Costs and Boosts Query Efficiency

This article explains how StarRocks’ new compute‑storage separation architecture reduces storage expenses and improves analytical performance by leveraging hot‑cold data segregation, elastic scaling, caching strategies, multi‑version storage, and optimized compaction, illustrated with real‑world log and e‑commerce workload examples.

Compute-Storage SeparationMPP databasePerformance Optimization
0 likes · 18 min read
How StarRocks’ Compute‑Storage Separation Cuts Costs and Boosts Query Efficiency
StarRocks
StarRocks
Apr 23, 2023 · Databases

Why Query Performance Optimization Matters and How to Master It

This guide explains the importance of query performance optimization for database products and engineers, outlines latency and throughput goals, shows how to locate bottlenecks with observability tools and Linux profilers, and provides practical high‑level and low‑level optimization techniques along with testing best practices.

CPU profilingQuery OptimizationStarRocks
0 likes · 16 min read
Why Query Performance Optimization Matters and How to Master It
DataFunTalk
DataFunTalk
Apr 13, 2023 · Big Data

Four Paradigms of StarRocks Lakehouse Integration and an Overview of StarRocks 3.0

This article explains why lake‑warehouse integration is needed, outlines its challenges, describes StarRocks' four integration paradigms—including query acceleration, layered modeling, real‑time warehouse‑lake fusion, and the cloud‑native 3.0 solution—and previews the upcoming StarRocks 3.0 release.

Data LakeLakehouseStarRocks
0 likes · 18 min read
Four Paradigms of StarRocks Lakehouse Integration and an Overview of StarRocks 3.0
dbaplus Community
dbaplus Community
Apr 11, 2023 · Big Data

How Autohome Built a Flink‑StarRocks Real‑Time Ad Data Warehouse

This article details Autohome's transition from an hourly offline ad data warehouse to a Flink‑StarRocks real‑time architecture, covering background, engine and storage selection, multi‑layer design, implementation steps, encountered issues, monitoring strategies, and future roadmap to achieve second‑level data freshness and high accuracy.

AdvertisingFlinkStarRocks
0 likes · 12 min read
How Autohome Built a Flink‑StarRocks Real‑Time Ad Data Warehouse
StarRocks
StarRocks
Apr 7, 2023 · Databases

StarRocks 3.0 Highlights: Storage‑Compute Separation, New RBAC, and Lakehouse Features

StarRocks 3.0 introduces a storage‑compute separation architecture, a full‑featured RBAC permission framework, enhanced materialized views, Trino‑compatible query dialect, richer Primary‑Key update/delete syntax, automatic partition creation, and numerous performance optimizations, marking a major step from OLAP to lakehouse analytics.

LakehouseMaterialized ViewRBAC
0 likes · 10 min read
StarRocks 3.0 Highlights: Storage‑Compute Separation, New RBAC, and Lakehouse Features
StarRocks
StarRocks
Feb 21, 2023 · Databases

How Yidian Tianxia Built a Unified Real‑Time & Offline Data Warehouse with StarRocks

Yidian Tianxia tackled massive daily data volumes and complex analytics by defining a five‑layer data‑warehouse standard, comparing ClickHouse and StarRocks performance, and implementing a unified real‑time/offline architecture with StarRocks, DataPlus, and EasyJob, achieving multi‑fold query speedups and lower operational costs.

ClickHouseReal-time AnalyticsStarRocks
0 likes · 14 min read
How Yidian Tianxia Built a Unified Real‑Time & Offline Data Warehouse with StarRocks