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
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.

CacheMPPMaterialized Views
0 likes · 20 min read
Why StarRocks Beats Trino: A Deep Technical Comparison
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.

AIData EngineeringLLM
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
StarRocks
StarRocks
Apr 25, 2024 · Artificial Intelligence

How AI Boosts SQL Accuracy and Performance: Real‑World Demo & AutoMV Insights

The April 16 online meetup by Tencent Game Data and StarRocks explored AI‑generated SQL, tackled NL2SQL challenges, showcased a demo that lifted one‑shot accuracy to 89%, and introduced StarRocks AutoMV technology that automates materialized‑view recommendation and merging to accelerate data‑warehouse queries.

AIAutoMVNL2SQL
0 likes · 9 min read
How AI Boosts SQL Accuracy and Performance: Real‑World Demo & AutoMV Insights
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.

ModelingQuery OptimizationStarRocks
0 likes · 20 min read
Master StarRocks Deployment and Optimization: From Capacity Planning to Query Tuning
StarRocks
StarRocks
Apr 2, 2024 · Big Data

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

This article details the challenges of maintaining separate real‑time and batch risk‑control features, evaluates Lambda and Kappa architectures, explores storage‑unified and compute‑unified alternatives, compares Hologres, StarRocks and ClickHouse, and presents a validated StarRocks‑based solution that dramatically reduces feature delivery latency and improves accuracy.

Kappa architectureLambda architecturefeature engineering
0 likes · 19 min read
How We Unified Real‑Time and Batch Financial Risk Features with StarRocks
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%.

OLAPSparkStarRocks
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