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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

100 recent articles max
StarRocks
StarRocks
Jan 22, 2026 · Big Data

How Paimon + StarRocks Accelerates Double‑11 OLAP Queries by 80% Refresh Speed

This article explains how Taotian Group unified real‑time and offline data using Paimon as lake storage and StarRocks for high‑performance OLAP, eliminating costly sync pipelines, cutting refresh time by about 80%, saving nearly ten million yuan annually, and detailing the architecture, cluster safeguards, configuration tweaks, monitoring, and future roadmap for large‑scale promotional events.

Data ArchitectureOLAPPaimon
0 likes · 24 min read
How Paimon + StarRocks Accelerates Double‑11 OLAP Queries by 80% Refresh Speed
StarRocks
StarRocks
Jan 15, 2026 · Artificial Intelligence

How AI‑First Lakehouse Redefines Data Platforms for Multimodal Analytics

The article outlines the evolution from traditional OLAP to an AI‑first Lakehouse, detailing unified multimodal storage, CPU/GPU heterogeneous scheduling, native vector search, in‑database AI inference, agent‑centric execution, and self‑evolving platform capabilities that together reshape modern data analytics.

AIIn‑Database InferenceLakehouse
0 likes · 11 min read
How AI‑First Lakehouse Redefines Data Platforms for Multimodal Analytics
StarRocks
StarRocks
Jan 7, 2026 · Big Data

How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data

This article details Gaode Maps' end‑to‑end lakehouse solution for handling high‑frequency, high‑volume trajectory data, covering the challenges of real‑time visibility, multi‑scenario queries, storage cost, and data silos, and describing the layered storage architecture, performance validation, and future expansion plans.

Apache FlinkLakehouseStarRocks
0 likes · 21 min read
How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data
StarRocks
StarRocks
Dec 25, 2025 · Big Data

How dbt, DataOps, and StarRocks Combine to Accelerate Real‑Time Data Modeling

This article explains how dbt drives automated data modeling and governance, how DataOps practices bring agility and control to data projects, and how StarRocks’ lakehouse architecture enables real‑time and batch analytics, illustrated with concrete workflows, version‑control conventions, and enterprise case studies.

Data GovernanceDataOpsELT
0 likes · 14 min read
How dbt, DataOps, and StarRocks Combine to Accelerate Real‑Time Data Modeling
StarRocks
StarRocks
Dec 18, 2025 · Databases

How Fresha Scaled Real‑Time Analytics with StarRocks: A Deep Dive into Their Hybrid Architecture

Facing Postgres overload and costly Snowflake queries, Fresha rebuilt its analytics platform by introducing StarRocks as a unified SQL entry point, combining federated lakehouse queries with high‑performance internal tables, which reduced homepage query latency to around 200 ms and achieved minute‑level data freshness across real‑time, historical, and search workloads.

Compute-Storage SeparationHybrid ArchitectureLakehouse
0 likes · 20 min read
How Fresha Scaled Real‑Time Analytics with StarRocks: A Deep Dive into Their Hybrid Architecture
StarRocks
StarRocks
Dec 11, 2025 · Databases

How StarRocks Redesigns Bulk Import to Cut Small Files and Boost Throughput

This article explains how StarRocks mitigates the hidden risks of massive one‑time data imports in a storage‑compute separated architecture by redesigning the write path to spill to local disk, merge centrally, and write to object storage, resulting in fewer small files, higher write throughput, and more stable query performance.

Bulk ImportCompactionData Engineering
0 likes · 12 min read
How StarRocks Redesigns Bulk Import to Cut Small Files and Boost Throughput
StarRocks
StarRocks
Nov 18, 2025 · Databases

StarRocks Beats ClickHouse, Snowflake, and Databricks in Coffee‑Shop Benchmark – Up to 10× Faster and Cheaper

A reproducible evaluation of StarRocks using the open‑source Coffee‑shop Benchmark shows that across 500 M, 1 B and 5 B row scales, StarRocks completes 17 complex join and aggregation queries 2–10× faster and with significantly lower cost than ClickHouse, Snowflake and Databricks, demonstrating superior performance and cost efficiency for analytical workloads.

Coffee-shop BenchmarkStarRockscost efficiency
0 likes · 11 min read
StarRocks Beats ClickHouse, Snowflake, and Databricks in Coffee‑Shop Benchmark – Up to 10× Faster and Cheaper
StarRocks
StarRocks
Oct 28, 2025 · Databases

How Cisco Migrated from Pinot to StarRocks and Boosted Query Performance by Up to 70%

This article details Cisco Webex's migration from a complex Pinot‑Trino OLAP stack to StarRocks, covering the challenges of the legacy system, the step‑by‑step migration process—including storage, compute, and SQL dialect transformation—and the resulting performance gains, cost reductions, and operational improvements.

MigrationOLAPPinot
0 likes · 23 min read
How Cisco Migrated from Pinot to StarRocks and Boosted Query Performance by Up to 70%