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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

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 LakeMaterialized ViewsSQL

0 likes · 17 min read

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

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.

Big DataBitmap IndexMaterialized Views

0 likes · 14 min read

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

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.

Big DataConnectorSeaTunnel

0 likes · 16 min read

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 databaseStarRocks

0 likes · 18 min read

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 profilingStarRocksbenchmarking

0 likes · 16 min read

Why Query Performance Optimization Matters and How to Master It

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.

RBACStarRockslakehouse

0 likes · 10 min read

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.

ClickHouseData GovernanceReal-time Analytics

0 likes · 14 min read

StarRocks

Feb 10, 2023 · Databases

How StarRocks Achieves Fine-Grained Resource Isolation for Multi‑Tenant Workloads

StarRocks introduces user‑space scheduling with resource groups and classifiers to provide hard memory isolation, soft CPU/IO isolation, short‑query groups, concurrency limits, and large‑query circuit breaking, balancing isolation and utilization while supporting multi‑tenant workloads and future serverless scenarios.

CPU schedulingStarRocksmemory hard limit

0 likes · 17 min read

How StarRocks Achieves Fine-Grained Resource Isolation for Multi‑Tenant Workloads