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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

Sep 3, 2026 · Databases

Querying Paimon Semi-Structured Data with StarRocks: Variant, Shredding & SQL Practices

This article explains how StarRocks queries Paimon Variant data, covering the differences between regular Parquet JSON and Variant, the three-phase read architecture, Shredding optimization for hot paths, practical SQL examples using get_variant_* functions, and a decision framework for choosing between JSON, Plain Variant, Shredded Variant, and formal typed columns.

PaimonParquetSQL

0 likes · 21 min read

StarRocks

Sep 2, 2026 · Databases

Why AI-Generated SQL Isn't Enough: Semantic Views Bridge the Business Logic Gap

This article explains why syntactically correct AI-generated SQL often fails to reflect business logic, introduces StarRocks' Semantic View as an executable 'information contract' that defines metrics, relationships, and synonyms, and demonstrates with a fishing gear example how it enables deterministic SQL expansion for both AI agents and BI tools.

AI-generated SQLInformation ContractQuery Expansion

0 likes · 15 min read

Why AI-Generated SQL Isn't Enough: Semantic Views Bridge the Business Logic Gap

StarRocks

Aug 13, 2026 · Big Data

Building a Real‑Time Lakehouse with StarRocks, Fluss, and Paimon: A Closed‑Loop ETL Architecture

The article analyzes how StarRocks, Fluss, and Paimon can replace the traditional Lambda architecture with a unified lakehouse solution that delivers second‑level data freshness, consolidates storage and compute, and provides native read/write paths for high‑performance real‑time analytics and large‑scale ETL.

ETLFlussNative I/O

0 likes · 16 min read

StarRocks

Jul 15, 2026 · Big Data

Building a Lake‑Stream Integrated Data Pipeline with Fluss, Paimon, and StarRocks

The article details how Taotian Group’s senior data engineer Zhu Ao designed a lake‑stream integrated architecture using Fluss for second‑level real‑time storage, Paimon for minute‑level lakehouse persistence, and StarRocks as a unified OLAP query layer, achieving over 50% faster development and more than 80% cost reduction.

FlussOLAPPaimon

0 likes · 14 min read

StarRocks

Jun 25, 2026 · Databases

StarRocks 4.1 Enables Faster Iceberg Queries While Preserving Data Freshness

StarRocks 4.1 introduces an incremental materialized view for Apache Iceberg that ties refresh cost to data changes instead of table size, dramatically cutting refresh time, maintaining low latency, and keeping query results fresh even as tables scale to terabytes or petabytes, with a fallback to partition refresh when needed.

Apache IcebergData FreshnessIncremental Materialized View

0 likes · 8 min read

StarRocks

Jun 17, 2026 · Databases

How StarRocks 4.1 Simplifies Operations and Boosts Production Performance

StarRocks 4.1 introduces automatic multi‑tenant data management, large‑capacity tablets, second‑level schema evolution, enhanced cache observability, and deeper Iceberg support, addressing static data distribution, data skew, high repair costs and expertise requirements while delivering up to 1.86× higher throughput and dramatically lower latency in production workloads.

Cache ObservabilityData DistributionFast Schema Evolution

0 likes · 13 min read

StarRocks

Jun 12, 2026 · Big Data

Building a Millisecond-Responsive Real-Time Data Engine with StarRocks, Fluss, and Paimon

This article presents a lake‑stream integrated solution that combines Apache Fluss, Apache Paimon, and StarRocks to achieve second‑level data freshness, tenfold storage cost reduction, and a single‑query access pattern for both real‑time and historical data, detailing its architecture, advantages, query modes, and future roadmap.

FlussPaimonReal-time Analytics

0 likes · 13 min read

StarRocks

Jun 4, 2026 · Databases

How StarRocks and Iceberg Enable Federated Queries: A Practical Walkthrough

This article details Fresha's real‑world integration of StarRocks with Apache Iceberg, covering metadata planning, distributed execution, adaptive metadata retrieval, hot‑cold data layering, missing statistics handling, catalog configuration, and performance optimizations that together demonstrate how federated queries can be efficiently executed over data‑lake tables.

Apache IcebergData LakeFederated Query

0 likes · 14 min read

StarRocks

May 28, 2026 · Industry Insights

How Fresha Built a Modern Real‑Time Analytics Stack with AutoMQ and StarRocks

Fresha replaced its Postgres‑Snowflake‑MSK pipeline with an AutoMQ‑based Diskless Kafka message layer and StarRocks for real‑time analytics, cutting storage costs 17‑20×, dropping query latency from seconds to sub‑second, and migrating ~1,000 topics in a week with zero downtime.

AutoMQKafkaPostgres

0 likes · 24 min read

StarRocks

May 21, 2026 · Databases

Say Goodbye to Repeated Pitfalls with Our Open‑Source AI Skill for Database Troubleshooting

The article introduces starrocks‑debug‑skills, an open‑source, three‑layer knowledge base (Skills, Cases, Tools) that captures real‑world StarRocks troubleshooting experience, shows how AI assistants can use it to diagnose issues such as import timeouts, version errors, and compaction slowdowns, and explains how to contribute new cases.

AIDatabase TroubleshootingOperations

0 likes · 13 min read

Say Goodbye to Repeated Pitfalls with Our Open‑Source AI Skill for Database Troubleshooting