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  1. www.starrocks.ioStarRocks | A High-Performance Analytical Database

    StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

    • Blog

      How ATRenew Achieves Cost-Effective Low Latency Data Lake...

    • Partners

      Powered by StarRocks, Mirrorship is a high-performance...

    • Real-Time Data Warehouse

      We provide booking services for over 1.5 million hotels...

  2. docs.starrocks.ioStarRocks | StarRocks

    StarRocks is a next-gen, high-performance analytical data warehouse that enables real-time, multi-dimensional, and highly concurrent data analysis.

  3. github.com › StarRocks › starrocksGitHub - StarRocks/starrocks: StarRocks, a Linux Foundation...

    StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries.

  4. docs.starrocks.io › zh › docsStarRocks | StarRocks

    StarRocks 是一款高性能分析型数据仓库，使用向量化、MPP 架构、CBO、智能物化视图、可实时更新的列式存储引擎等技术实现多维、实时、高并发的数据分析。. StarRocks 既支持从各类实时和离线的数据源高效导入数据，也支持直接分析数据湖上各种格式的数据 ...

  5. en.wikipedia.org › wiki › StarRocStarRoc - Wikipedia

    StarRoc was an American entertainment company. The company operated a full service record label and music publishing house. It was founded in 2008 by American rapper Jay-Z and Norwegian record production team Mikkel S. Eriksen and Tor Erik Hermansen of the production duo Stargate.

  6. docs.starrocks.io › zh › docs什么是 StarRocks | StarRocks

    什么是 StarRocks. StarRocks 是 新一代极速全场景 MPP (Massively Parallel Processing) 数据库 。. StarRocks 的愿景是能够让用户的 数据分析变得更加简单和敏捷 。. 用户无需经过复杂的预处理，就可以用 StarRocks 来支持多种数据分析场景的极速分析。. StarRocks 架构简洁 ，采用 ...

  7. docs.starrocks.io › docs › introductionWhat is StarRocks? | StarRocks

    StarRocks is a next-generation, blazing-fast massively parallel processing (MPP) database designed to make real-time analytics easy for enterprises. It is built to power sub-second queries at scale.