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StarRocks

Sub-Second Analytics for End Users and Agents at Scale

Data & Analyticsanalytical-databasereal-time-analyticsolapdata-warehousesqlopen-sourcedata-lake
StarRocks screenshot

About

StarRocks is a high-performance, open-source analytical data warehouse designed for real-time, multi-dimensional, and highly concurrent data analysis. It features an MPP architecture, fully vectorized execution engine, columnar storage, and a cost-based optimizer to deliver sub-second query performance at enterprise scale. StarRocks supports real-time and batch ingestion from multiple sources and can query data lakes directly without data migration.

Problem

Organizations need sub-second query performance for real-time, high-concurrency analytical workloads across large datasets.

For

data engineers, developers, and data scientists working on enterprise-scale analytics

How it works

StarRocks uses an MPP architecture with a vectorized execution engine, columnar storage, intelligent materialized views, and a cost-based optimizer to accelerate SQL queries against both ingested data and external data lakes.

Business model

open-source

Status

launched

Company

StarRocks

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