[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10397":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":15,"starSnapshotCount":15,"syncStatus":36,"lastSyncTime":37,"discoverSource":38},10397,"arangodb","arangodb\u002Farangodb","🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.","https:\u002F\u002Fwww.arangodb.com",null,"C++",14199,885,320,722,0,1,5,38,4,77.14,"Other",false,"devel",[5,25,26,27,28,29,30,31,32],"database","distributed-database","document-database","graph-database","graphdb","key-value","multi-model","nosql","2026-06-12 04:00:50","\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Farangodb\u002Farangodb\u002Frefs\u002Fheads\u002Fdevel\u002F.github\u002Farango-color-rev.svg\" width=\"800\" height=\"167\">\n  \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Farangodb\u002Farangodb\u002Frefs\u002Fheads\u002Fdevel\u002F.github\u002Farango-color-rgb.svg\" width=\"800\" height=\"167\">\n  \u003Cimg alt=\"A stylized avocado half and the company name\" src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Farangodb\u002Farangodb\u002Frefs\u002Fheads\u002Fdevel\u002F.github\u002Farango-logo-horz.png\" width=\"800\" height=\"167\">\n\u003C\u002Fpicture>\n\nArangoDB\n========\n\nArangoDB is a scalable graph database system to drive value from connected data,\nfaster. Native graphs, an integrated search engine, and JSON support, via a\nsingle query language. ArangoDB runs on-prem, in the cloud – anywhere.\n\nArangoDB Cloud Service\n----------------------\n\nThe [Arango Managed Platform (AMP)](https:\u002F\u002Fdashboard.arangodb.cloud\u002Fhome) is the\nsimplest way to run ArangoDB. You can create deployments on all major cloud\nproviders in many regions with ease.\n\nGetting Started\n---------------\n\n- [ArangoDB University](https:\u002F\u002Funiversity.arangodb.com\u002F)\n- [Free Udemy Course](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fgetting-started-with-arangodb)\n- [Documentation](https:\u002F\u002Fdocs.arango.ai\u002F)\n\nFor the impatient:\n\n- Test ArangoDB in the cloud with [AMP](https:\u002F\u002Fdashboard.arangodb.cloud\u002Fhome) for free.\n\n- Alternatively, [download](https:\u002F\u002Farango.ai\u002Fdownloads\u002F) and install ArangoDB.\n  Start the server `arangod` if the installer did not do it for you.\n\n  Or start ArangoDB in a Docker container:\n\n      docker run -d -e ARANGO_ROOT_PASSWORD=test123 -p 8529:8529 arangodb\n\n  Then point your browser to `http:\u002F\u002F127.0.0.1:8529\u002F`.\n\nKey Features of ArangoDB\n------------------------\n\n**Native Graph** - Store both data and relationships, for faster queries even\nwith multiple levels of joins and deeper insights that simply aren't possible\nwith traditional relational and document database systems.\n\n**Document Store** - Every node in your graph is a JSON document:\nflexible, extensible, and easily imported from your existing document database.\n\n**ArangoSearch** - Natively integrated cross-platform indexing, text-search and\nranking engine for information retrieval, optimized for speed and memory.\n\nArangoDB is available in a free and fully featured **Community Edition** as well\nas an **Enterprise Edition** for commercial use and without a dataset size limit.\n\n### Core Features\n\n- **Horizontal scalability**: Seamlessly shard your data across multiple machines.\n- **High availability** and **resilience**: Replicate data to multiple cluster\n  nodes, with automatic failover.\n- **Flexible data modeling**: Model your data as combination of key-value pairs,\n  documents, and graphs as you see fit for your application.\n- Work **schema-free** or use **schema validation** for data consistency.\n  Store any type of data - date\u002Ftime, geo-spatial, text, nested.\n- **Powerful query language** (_AQL_) to retrieve and modify data - from simple\n  CRUD operations, over complex filters and aggregations, all the way to joins,\n  graphs, and ranked full-text search.\n- **Transactions**: Run queries on multiple documents or collections with\n  optional transactional consistency and isolation.\n- **Fast access to your data**: Fine-tune your queries with a variety of index\n  types for optimal performance. ArangoDB is written in C++ and can handle even\n  very large datasets efficiently.\n- Easy to use **web interface** and **command-line tools** for interaction\n  with the server.\n\n### Scalability Features\n\nFocus on solving enterprise-scale problems for mission critical workloads using\nsecure graph data. ArangoDB offers special features for performance, compliance,\nand security, as well as advanced query capabilities.\n\n- Smartly shard and replicate graphs and datasets with features like\n  **EnterpriseGraphs**, **SmartGraphs**, and **SmartJoins** for lightning fast\n  query execution.\n- Combine the performance of a single server with the resilience of a cluster\n  setup using **OneShard** deployments.\n- Create incremental **Hot Backups** without downtime.\n- Enable highly secure work with **Encryption 360**, enhanced **Data Masking**, \n  and detailed **Auditing**.\n- Perform **parallel graph traversals**.\n- Use ArangoSearch **search highlighting** and **nested search** for advanced\n  information retrieval.\n\nLatest Release\n--------------\n\nPackages for all supported platforms can be downloaded from\n\u003Chttps:\u002F\u002Farango.ai\u002Fdownloads\u002F>.\n\nFor what's new in ArangoDB, see the Release Notes in the\n[Documentation](https:\u002F\u002Fdocs.arango.ai\u002F).\n\nStay in Contact\n---------------\n\n- Please use GitHub for feature requests and bug reports:\n  [https:\u002F\u002Fgithub.com\u002Farangodb\u002Farangodb\u002Fissues](https:\u002F\u002Fgithub.com\u002Farangodb\u002Farangodb\u002Fissues)\n\n- Ask questions about AQL, usage scenarios, etc. on StackOverflow:\n  [https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Farangodb](https:\u002F\u002Fstackoverflow.com\u002Fquestions\u002Ftagged\u002Farangodb)\n\n- Chat with the community and the developers on Slack:\n  [https:\u002F\u002Farangodb-community.slack.com\u002F](https:\u002F\u002Farangodb-community.slack.com\u002F)\n\n- Learn more about ArangoDB with our YouTube channel: \n  [https:\u002F\u002Fwww.youtube.com\u002F@ArangoDB](https:\u002F\u002Fwww.youtube.com\u002F@ArangoDB)\n\n- Follow us on X to stay up to date:\n  [https:\u002F\u002Fx.com\u002Farangoai](https:\u002F\u002Fx.com\u002Farangoai)\n","ArangoDB 是一个原生多模型数据库，支持文档、图和键值对等多种灵活的数据模型。其核心功能包括通过类似SQL的查询语言AQL或JavaScript扩展来构建高性能应用；提供原生图存储能力，能够更快地处理多层次连接的数据查询；内置了文档存储和全文搜索功能，便于数据导入与检索。该数据库适用于需要处理复杂关系数据的应用场景，如社交网络分析、推荐系统等，并且支持水平扩展和高可用性配置，适合部署在本地或云端。",2,"2026-06-11 03:28:10","top_topic"]