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  1. Extremely fast query performance in all scenarios. Whether you're working with a single table or multiple, you'll experience at least 300% better performance on StarRocks compared to other popular solutions. Read More.

    • 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...

    • Overview
    • Features
    • Architecture Overview
    • Resources
    • Contributing to StarRocks
    • Used By

    Download | Docs | Benchmarks | Demo

    StarRocks, a Linux Foundation project, is the next-generation data platform designed to make data-intensive real-time analytics fast and easy. It delivers query speeds 5 to 10 times faster than other popular solutions. StarRocks can perform real-time analytics well while updating historical records. It can also enhance real-time analytics with historical data from data lakes easily. With StarRocks, you can get rid of the de-normalized tables and get the best performance and flexibility.

    •🚀 Native vectorized SQL engine: StarRocks adopts vectorization technology to make full use of the parallel computing power of CPU, achieving sub-second query returns in multi-dimensional analyses, which is 5 to 10 times faster than previous systems.

    •📊 Standard SQL: StarRocks supports ANSI SQL syntax (fully supported TPC-H and TPC-DS). It is also compatible with the MySQL protocol. Various clients and BI software can be used to access StarRocks.

    •💡 Smart query optimization: StarRocks can optimize complex queries through CBO (Cost Based Optimizer). With a better execution plan, the data analysis efficiency will be greatly improved.

    •⚡ Real-time update: The updated model of StarRocks can perform upsert/delete operations according to the primary key, and achieve efficient query while concurrent updates.

    •🪟 Intelligent materialized view: The materialized view of StarRocks can be automatically updated during the data import and automatically selected when the query is executed.

    •✨ Querying data in data lakes directly: StarRocks allows direct access to data from Apache Hive™, Apache Iceberg™, and Apache Hudi™ without importing.

    StarRocks’s streamlined architecture is mainly composed of two modules: Frontend (FE) and Backend (BE). The entire system eliminates single points of failure through seamless and horizontal scaling of FE and BE, as well as replication of metadata and data.

    Starting from version 3.0, StarRocks supports a new shared-data architecture, which can provide better scalability and lower costs.

    📚 Read the docs ❓ Get support

    •Slack community: join technical discussions, ask questions, and meet other users! •YouTube channel: subscribe to the latest video tutorials and webcasts. •GitHub issues: report an issue with StarRocks.

    We welcome all kinds of contributions from the community, individuals and partners. We owe our success to your active involvement.

    1.See Contributing.md to get started.

    2.Set up StarRocks development environment:

    •IDE Setup

    1.Understand our GitHub workflow for opening a pull request; use this PR Template when submitting a pull request.

    2.Pick a good first issue and start contributing.

    This project is used by the following companies. Learn more about their use cases:

    •Airbnb

    •Tencent

    •Shopee

    •Trip.com

    •Didi

  2. 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 .

  3. StarRocks is a next-gen, high-performance analytical data warehouse that enables real-time, multi-dimensional, and highly concurrent data analysis. StarRocks has an MPP architecture and is equipped with a fully vectorized execution engine, a columnar storage engine that supports real-time updates, and is powered by a rich set of features including a fully-customized cost-based optimizer (CBO ...

  4. 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。StarRocks 兼容 MySQL 协议,可使用 MySQL 客户端 ...

  5. docs.starrocks.io › docs › data_sourceJDBC catalog | StarRocks

    StarRocks supports JDBC catalogs from v3.0 onwards. A JDBC catalog is a kind of external catalog that enables you to query data from data sources accessed through JDBC without ingestion. Also, you can directly transform and load data from JDBC data sources by using INSERT INTO based on JDBC catalogs. JDBC catalogs currently support MySQL and ...

  6. 25 de sept. de 2008 · The new label will make its headquarters at Hova's Roc The Mic recording studio in Manhattan, and will both release new Jay-Z albums as well as develop new talent. Under the terms of StarRoc, the label is a 50/50 partnership between Jay-Z and Stargate.