[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4073":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":45,"readmeContent":46,"aiSummary":47,"trendingCount":16,"starSnapshotCount":16,"syncStatus":48,"lastSyncTime":49,"discoverSource":50},4073,"starrocks","StarRocks\u002Fstarrocks","StarRocks","The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.","https:\u002F\u002Fstarrocks.io",null,"Java",11772,2448,186,422,0,21,112,5,90.5,"Apache License 2.0",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"analytics","big-data","cloudnative","database","datalake","delta-lake","distributed-database","hudi","iceberg","join","lakehouse","lakehouse-platform","mpp","olap","real-time-analytics","real-time-updates","realtime-database","sql","star-schema","vectorized","2026-06-12 04:00:21","\n \u003Cimg referrerpolicy=\"no-referrer-when-downgrade\" src=\"https:\u002F\u002Fstatic.scarf.sh\u002Fa.png?x-pxid=e8355b6b-a9fc-4d4e-8ed8-b3157aa1827d\" \u002F>\n \u003Cp align=\"center\">\n \u003Ca href=\"https:\u002F\u002Fstarrocks.io\u002Findex\">\n    \u003Cimg  width=\"900\" src=\"https:\u002F\u002Fcdn.starrocks.io\u002Fstatic\u002Fgithub\u002Fstarrocks.png?t=12234\">\n   \u003C\u002Fa>\n\u003C\u002Fp>\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fstarrocks.io\u002Fdownload\u002Fcommunity\">Download\u003C\u002Fa> | \u003Ca href=\"https:\u002F\u002Fdocs.starrocks.io\u002F\">Docs\u003C\u002Fa> | \u003Ca href=\"https:\u002F\u002Fstarrocks.io\u002Fblog\u002Fbenchmark-test\">Benchmarks\u003C\u002Fa> | \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fdemo\">Demo\u003C\u002Fa>\n\u003C\u002Fp>\n\u003Cp align=\"center\">\n\n \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FMade%20with-JAVA%20%26%20C%2B%2B-red\" alt=\"JAVA&C++\">\n    \u003C\u002Fa>\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcommit-activity\u002Fm\u002FStarRocks\u002Fstarrocks\" alt=\"Commit Activities\">\n    \u003C\u002Fa>\n   \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fstarrocks\u002Fissues\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fissues-raw\u002FStarRocks\u002Fstarrocks\" alt=\"Open Issues\">\n  \u003C\u002Fa>\n  \u003C\u002Fa>\n   \u003Ca href=\"https:\u002F\u002Fstarrocks.io\u002Findex\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FVisit%20StarRocks-Website-green\" alt=\"Website\">\n  \u003C\u002Fa>\n  \u003C\u002Fa>\n   \u003Ca href=\"https:\u002F\u002Ftry.starrocks.com\u002Fjoin-starrocks-on-slack\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FJoin-Slack-ff69b4\" alt=\"Slack\">\n  \u003C\u002Fa>\n  \u003C\u002Fa>\n   \u003Ca href=\"https:\u002F\u002Ftwitter.com\u002FStarRocksLabs\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002FStarRocksLabs?style=social\" alt=\"Twitter\">\n  \u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgurubase.io\u002Fg\u002Fstarrocks\">\n    \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGurubase-Ask%20StarRocks%20Guru-006BFF\" alt=\"Gurubase\">\n  \u003C\u002Fa>\n \u003C\u002Fp>\n\n\u003Cdiv align=\"center\"> \n\n\u003C\u002Fdiv>\nStarRocks is the world's fastest open query engine for sub-second, ad-hoc analytics both on and off the data lakehouse. With average query performance 3x faster than other popular alternatives, StarRocks is a query engine that eliminates the need for denormalization and adapts to your use cases, without having to move your data or rewrite SQL. A Linux Foundation project. \u003Cbr>\u003C\u002Fbr>\n\nLearn more 👉🏻 [What Is StarRocks: Features and Use Cases](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=RfXO5GOnbW4&ab_channel=CelerData), \nJoin [StarRocks Summit 2025](https:\u002F\u002Fsummit.starrocks.io\u002F2025)!\n\n\u003Cbr>\n \u003Cp align=\"center\">\n    \u003Cimg src=\"https:\u002F\u002Fcdn.starrocks.io\u002Fstatic\u002Fgithub\u002Fcommunity.gif\">\n   \u003C\u002Fa>\n\u003C\u002Fp>\n\u003C\u002Fbr>\n\n## Features\n\n* **🚀 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.\n* **📊 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.\n* **💡 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.\n* **⚡ Real-time update:** The updated model of StarRocks can perform upsert\u002Fdelete operations according to the primary key, and achieve efficient query while concurrent updates.\n* **🪟 Intelligent materialized view:** The materialized view of StarRocks can be automatically updated during the data import and automatically selected when the query is executed.\n* **✨ Querying data in data lakes directly**: StarRocks allows direct access to data from Apache Hive™, Apache Iceberg™, Delta Lake™ and Apache Hudi™ without importing.\n* **🎛️ Resource management**: This feature allows StarRocks to limit resource consumption for queries and implement isolation and efficient use of resources among tenants in the same cluster.\n* **💠 Easy to maintain**: Simple architecture makes StarRocks easy to deploy, maintain and scale out. StarRocks tunes its query plan agilely, balances the resources when the cluster is scaled in or out, and recovers the data replica under node failure automatically.\n\n\n\n\u003Cbr>\n  \n## Architecture Overview\n\n \u003Cp align=\"center\">\n    \u003Cimg src=\"images\u002Farch.png\">\n   \u003C\u002Fa>\n\u003C\u002Fp>\n\n\nStarRocks’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.\n\nStarting from version 3.0, StarRocks supports a new shared-data architecture, which can provide better scalability and lower costs.\n\n \u003Cp align=\"center\">\n    \u003Cimg src=\"docs\u002Fen\u002F_assets\u002Fshared-data.png\" width=\"55%\" height=\"55%\">\n   \u003C\u002Fa>\n\u003C\u002Fp>\n\n\n\u003Cbr>\n\n## Resources\n\n### 📚 Read the docs\n\n| Section | Description |\n|-|-|\n| [Quick Starts](https:\u002F\u002Fdocs.starrocks.io\u002Fdocs\u002Fquick_start\u002F)| How-tos and Tutorials. |\n| [Deploy](https:\u002F\u002Fdocs.starrocks.io\u002Fdocs\u002Fdeployment\u002Fdeployment_overview\u002F) | Learn how to run and configure StarRocks.|\n| [Docs](https:\u002F\u002Fdocs.starrocks.io\u002F)| Full documentation. |\n| [Blogs](https:\u002F\u002Fwww.starrocks.io\u002Fblog) | StarRocks deep dive and user stories.  |\n\n### ❓ Get support  \n[\u003Cimg align=\"right\" width=\"150\" src=\"https:\u002F\u002Ffirstcontributions.github.io\u002Fassets\u002FReadme\u002Fjoin-slack-team.png\">](https:\u002F\u002Ftry.starrocks.com\u002Fjoin-starrocks-on-slack)\n-  [Slack community: ](https:\u002F\u002Ftry.starrocks.com\u002Fjoin-starrocks-on-slack) join technical discussions, ask questions, and meet other users!\n-  [YouTube channel:](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC38wR-ogamk4naaWNQ45y7Q\u002Ffeatured) subscribe to the latest video tutorials and webcasts.\n-  [GitHub issues:](https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fstarrocks\u002Fissues) report an issue with StarRocks.\n\n\n\u003Cbr>  \n  \n## Contributing to StarRocks\n\nWe welcome all kinds of contributions from the community, individuals and partners. We owe our success to your active involvement.\n\n1. See [Contributing.md](https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fstarrocks\u002Fblob\u002Fmain\u002FCONTRIBUTING.md) to get started.\n2. Set up StarRocks development environment:\n* [IDE Setup](https:\u002F\u002Fdocs.starrocks.io\u002Fdocs\u002Fdevelopers\u002Fdevelopment-environment\u002Fide-setup\u002F) \n* [Compile StarRocks with Docker](https:\u002F\u002Fdocs.starrocks.io\u002Fdocs\u002Fdevelopers\u002Fbuild-starrocks\u002FBuild_in_docker\u002F) \n* [Deploy StarRocks manually](https:\u002F\u002Fdocs.starrocks.io\u002Fdocs\u002Fdeployment\u002Fdeploy_manually\u002F) \n3. Understand our [GitHub workflow](https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fcommunity\u002Fblob\u002Fmain\u002FContributors\u002Fguide\u002Fworkflow.md) for opening a pull request; use this [PR Template](https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fstarrocks\u002Fblob\u002Fmain\u002F.github\u002FPULL_REQUEST_TEMPLATE.md) when submitting a pull request.\n4. Pick a [good first issue](https:\u002F\u002Fgithub.com\u002FStarRocks\u002Fstarrocks\u002Flabels\u002Fgood%20first%20issue) and start contributing. \n\n**📝 License:** StarRocks is licensed under [Apache License 2.0](https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0).\n\n**👥 Community Membership:** Learn more about different [contributor roles](community\u002Fmembership.md) in StarRocks community.\n\n**💬 Developer Group：** Please join our [Google Groups](https:\u002F\u002Fgroups.google.com\u002Fg\u002Fstarrocks-dev) to discuss StarRocks features, project directions, issues, pull requests, or share suggestions.\n  \n\u003Cbr>\n  \n## Used By\n\nThis project is used by the following companies. Learn more about their use cases:\n\n- [Airbnb](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=AzDxEZuMBwM&ab_channel=StarRocks_labs)\n- [Airtable](https:\u002F\u002Fmedium.com\u002Fairtable-eng\u002Flive-shard-data-archive-export-and-ingestion-to-starrocks-for-validation-6af555e8b3fe)\n- [Alibaba](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=7N34q65mthk)\n- [Celonis](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Jm-D0xvOtek)\n- [Cisco](https:\u002F\u002Fwww.starrocks.io\u002Fblog\u002Fhow-cisco-webex-unified-real-time-analytics-with-starrocks)\n- [Coinbase](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=3Z9jSCaHnYg&list=PL0eWwaesODdhBhKSnvpfIEAB9sgk8rKmy)\n- [Demandbase](https:\u002F\u002Fstarrocks.medium.com\u002Fdemandbase-ditches-denormalization-by-switching-off-clickhouse-44195d795a83)\n- [Didi](https:\u002F\u002Fwww.starrocks.io\u002Fblog\u002Freduced-80-cost-didis-journey-from-multiple-olap-engines-to-starrocks)\n- [Eightfold.ai](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=qNk_-QTZk3E)\n- [Fanatics](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=hbXovqR6tOc)\n- [Fresha](https:\u002F\u002Fmedium.com\u002Ffresha-data-engineering\u002Fhow-we-accidentally-became-one-of-uks-first-starrocks-production-pioneers-7db249f10010)\n- [Grab](https:\u002F\u002Fengineering.grab.com\u002Fbuilding-a-spark-observability)\n- [Haezoom](https:\u002F\u002Fwww.starrocks.io\u002Fblog\u002Fhaezoom-and-cloudshift-overcome-apache-druids-limits-with-starrocks)\n- [HerdWatch](https:\u002F\u002Fmedium.com\u002Fp\u002Fa7916a7e87bf)\n- [Intuit](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=tUC3FS3ki10)\n- [iQiyi](https:\u002F\u002Fmedium.com\u002Fstarrocks-engineering\u002Freal-time-analytics-at-scale-why-we-use-starrocks-0aa3c859cbeb)\n- [Naver](https:\u002F\u002Fstarrocks.medium.com\u002Fhow-join-changed-how-we-approach-data-infra-at-naver-3a5bb1dac49f)\n- [Pinterest](https:\u002F\u002Fmedium.com\u002Fpinterest-engineering\u002Fdelivering-faster-analytics-at-pinterest-a639cdfad374)\n- [PlaySimple Games](https:\u002F\u002Fmedium.com\u002F@sukkhjot\u002Fquerying-billions-of-user-events-in-seconds-our-journey-with-starrocks-ecc29ac6c756)\n- [Shopee](https:\u002F\u002Fcelerdata.com\u002Fblog\u002Fhow-shopee-3xed-their-query-performance-with-starrocks)\n- [Smartnews](https:\u002F\u002Fmedium.com\u002Fsmartnews-inc\u002Fevaluating-a-unified-query-engine-to-consolidate-trino-and-clickhouse-672848c7d55d)\n- [Splitmetrics](https:\u002F\u002Fcelerdata.com\u002Fblog\u002Fhow-splitmetrics-replaced-postgresql-with-starrocks-for-customer-facing-analytics)\n- [Tencent(Games)](https:\u002F\u002Fwww.starrocks.io\u002Fblog\u002Ftencent-unifies-their-gaming-analytics-with-starrocks)\n- [Tencent(LLM)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=WVHXFks9EQk)\n- [Trip.com](https:\u002F\u002Fstarrocks.medium.com\u002Ftrip-com-starrocks-efficiently-supports-high-concurrent-queries-dramatically-reduces-labor-and-1e1921dd6bf8)\n- [TRM Labs](https:\u002F\u002Fwww.trmlabs.com\u002Fpost\u002Ffrom-bigquery-to-lakehouse-how-we-built-a-petabyte-scale-data-analytics-platform-part-1)\n- [Verisoul](https:\u002F\u002Fcelerdata.com\u002Fblog\u002Fverisoul-enables-real-time-analytics-by-transitioning-off-bigquery)\n- [Vivo](https:\u002F\u002Fmedium.com\u002Fstarrocks-engineering\u002Fvivos-journey-to-a-high-performance-lakehouse-with-starrocks-56a502a0fde8) \n- [Xiaohongshu\u002FRedNote](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2cvIZY4EDak&list=PL0eWwaesODdiJ0aXLzSTyNfkjjIFYpOTf)\n- [Yuno](https:\u002F\u002Fcelerdata.com\u002Fblog\u002Ffrom-hours-to-seconds-how-yuno-accelerated-customer-facing-analytics-by-switching-off-snowflake-and-athena)\n- [Zepto](https:\u002F\u002Fblog.zeptonow.com\u002Fdata-that-delivers-real-time-insights-for-brand-success-in-quick-commerce-b8b9e994d20b)\n\n","StarRocks 是一个面向数据湖仓的极速开放查询引擎，专为亚秒级多维分析、实时分析和即席查询设计。它采用向量化技术充分利用CPU并行计算能力，提供比传统系统快5到10倍的查询速度，并支持标准ANSI SQL语法及MySQL协议，兼容多种客户端与BI工具。智能查询优化器CBO能够自动优化复杂查询，提高数据分析效率。此外，StarRocks还支持实时更新，无需对数据进行反规范化处理或重写SQL即可适应不同应用场景。适用于需要高性能数据分析的企业级应用环境。",2,"2026-06-11 02:58:17","top_language"]