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Neo4j Aura - Fully Managed Cloud Solution
ISO GQL: A Defining Moment in the History of Database Innovation Learn More
ナイã‚ãŒæ–°åž‹ã‚¯ãƒ©ã‚¦ãƒ‰Amazon Neptuneã§æ”¹è‰¯ã—ãŸã“ã¨
米ナイã‚ã®æˆé•·ã‚’支ãˆã‚‹ã®ãŒ5種ã®ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã‚¢ãƒ—リã 。サーãƒãƒ¼ã‚µã‚¤ãƒ‰ã‚‚åˆã‚ã›ã‚‹ã¨æ¯Žæ—¥ä½•åº¦ã‚‚機能を更新ã—ã€æ–°æŠ€è¡“ã‚’ç©æ¥µçš„ã«å–り入れã¦ã„る。ãã®é–‹ç™ºä½“制ã«è¿«ã‚‹ã€‚ 米ナイã‚ã¯ä¸–ç•Œã«1億人以上ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚’抱ãˆã‚‹ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã‚¢ãƒ—リã§å¾—ãŸæƒ…å ±ã‚’åŸºã«ã€é¡§å®¢ä¸€äººã²ã¨ã‚Šã«åˆã‚ã›ãŸæƒ…å ±æ供や販促ã«ã¤ãªã’ã¦ã„る。スマホアプリã®ç¶™ç¶šåˆ©ç”¨ã‚’促ã™ãŸã‚ã€å…ˆç«¯æŠ€è¡“を用ã„ãŸæ–°æ©Ÿèƒ½ã‚’投入ã—ã¦ããŸã€‚最近ã®ä»£è¡¨ä¾‹ãŒã€ãƒ©ãƒ³ãƒ‹ãƒ³ã‚°ã‚„ç‹åŠ›ãƒˆãƒ¬ãƒ¼ãƒ‹ãƒ³ã‚°ãªã©ã®ã‚¹ãƒãƒ¼ãƒ„仲間を見ã¤ã‘るフレンド探ã—機能ã 。 åŒç¤¾ã®ã‚·ãƒ‹ã‚¢ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ãƒžãƒãƒ¼ã‚¸ãƒ£ãƒ¼ã§ã‚るマーク・ヴァンゲンãƒã‚¤ãƒ æ°ã¯ã€ç±³ã‚¢ãƒžã‚¾ãƒ³ ウェブ サービス（AWS）ãŒ2018å¹´11月26日（米国時間）ã‹ã‚‰åŒæœˆ30æ—¥ã«ã‹ã‘ã¦é–‹å‚¬ã—ãŸå¹´æ¬¡ã‚¤ãƒ™ãƒ³ãƒˆã€Œre:Invent 2018ã€ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã«ç™»å£‡ã€‚フレンド探ã—機能ã§æŽ¡ç”¨ã—ãŸå…ˆç«¯æŠ€è¡“ã«ã¤ã„ã¦æ˜Žã‚‰ã‹ã«ã—ãŸã€‚
Dgraph - A high performance graph database written in pure Go
Go Conference 2018 Spring
TypeDB: one giant leap for databases
123456789101112131415161718192021222324252627282930313233 match $user isa user, has full-name $name, has email $email; fetch $name; $email; # This returns all users of any type match $user isa employee, has full-name $name, has email $email, has employee-id $id; fetch $name; $email; $id; # This returns only users who are employees match $user-type sub user; $user isa $user-type, has full-name $nam
Neo4jã§ã‚°ãƒ©ãƒ•å•é¡Œã‚’効果的ã«å–り扱ãŠã† - Tech-Sketch
世ã®ä¸ã®èª²é¡Œã‚’解決ã™ã‚‹ã«éš›ã—ã¦ã¯ã€ãã®å¯¾è±¡ã‚’グラフã¨ã—ã¦è¡¨ç¾ã™ã‚‹ã“ã¨ãŒåºƒãè¡Œã‚ã‚Œã¾ã™ã€‚ã“ã®ã‚°ãƒ©ãƒ•å•é¡Œã‚’効率的ã«è§£æ±ºã™ã‚‹ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã—ã¦ã€ã‚°ãƒ©ãƒ•æ§‹é€ ã«ç‰¹åŒ–ã—ãŸã‚¢ãƒ¼ã‚テクãƒãƒ£ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ Neo4j を紹介ã—ã¾ã™ã€‚ グラフå•é¡Œ 具体例 グラフå•é¡Œã¨ã¯ã©ã®ã‚ˆã†ãªã‚‚ã®ã§ã—ょã†ã‹ï¼Ÿã€€ã”å˜çŸ¥ã§ãªã„æ–¹ã§ã‚‚ã€ã‚°ãƒ©ãƒ•å•é¡Œã‚’活用ã—ãŸã‚·ã‚¹ãƒ†ãƒ を日常的ã«ä½¿ç”¨ã—ã¦ã„ã¾ã™ã€‚例ãˆã°ã€é‰„é“ã®çµŒè·¯æ¤œç´¢ã‚·ã‚¹ãƒ†ãƒ ã§ã™ã€‚鉄é“ã®è·¯ç·šã‚’グラフ化ã™ã‚‹ã«ã¯ã€é§…をグラフã®ãƒŽãƒ¼ãƒ‰ã¨ã—ã¦ã€é§…ã®ã¤ãªãŒã‚Šã‚’エッジã¨ã—ã¦è¡¨ç¾ã—ã¾ã™ã€‚ ã“ã®ã‚°ãƒ©ãƒ•å•é¡Œã¯ã€Single Source Shortest Path(SSSP)å•é¡Œã‚’解決ã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã™ã€‚SSSPå•é¡Œã¨ã¯ã€å›³ï¼‘ã®ã‚ˆã†ã«é§…ã¨é§…é–“ã®è¡Œãæ¥ã§ãる経路ãŠã‚ˆã³ãã®æ‰€è¦æ™‚é–“ãŒä¸Žãˆã‚‰ã‚ŒãŸå ´åˆã«ã€ã‚る駅を始点ã¨ã—ã€ä»–ã®é§…ã¸è¡ŒããŸã‚ã®æœ€çŸæ™‚é–“ã®çµŒè·¯ã‚’求ã‚ã‚‹ã‚‚ã®ã§ã™ã€‚ 図１ SSSPå•é¡Œ ソリューショ
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æ¦‚è¦ MongoDBã§Neo4jã‚„OrientDBã®æ¬ 点を補ã£ãŸGraphDBã¨ã—ã¦åˆ©ç”¨ã™ã‚‹Clientã‚’Javaã§ä½œæˆã—ã¾ã—ãŸã€‚ 目次 åºè«– コミュニティサービスやソーシャルゲームã«ãŠã„ã¦ã€ãƒ¦ãƒ¼ã‚¶åŒå£«ã®ã¤ãªãŒã‚Šæƒ…å ±ã¯éžå¸¸ã«é‡è¦ãªè¦ç´ ã§ã™ã€‚ ã¤ãªãŒã‚Šæƒ…å ±ã¯RelationalDBã§æŒã¤ã‚ˆã‚Šã‚‚GraphDBã§æŒã¡ãŸã„所ã§ã™ãŒã€ç¾åœ¨ã‚ªãƒ¼ãƒ—ンソースã§å…¬é–‹ã•ã‚Œã¦ã„ã‚‹GraphDBを検証ã—ã¦ã¿ã‚‹ã¨ã€ 1ユーザã«ä¸‡å˜ä½ã§ã¤ãªã’ã¦ã„ãã¨æ¥µç«¯ã«é…ããªã‚Šã€1ユーザã«10万å˜ä½ã§ã¤ãªãŒã‚‹ã“ã¨ãŒã‚るアメーãƒã®ã‚µãƒ¼ãƒ“スã§ã¯æŽ¡ç”¨ã™ã‚‹ã“ã¨ãŒã§ãã¾ã›ã‚“。 ãã“ã§ã€é€Ÿãã¦ã‚¹ã‚ーマレスã§ã€ç¤¾å†…ã§å®Ÿç¸¾ã‚‚ã‚ã‚‹MongoDBã‚’GraphDBã¨ã—ã¦åˆ©ç”¨ã—ã¦ã¿ã¾ã™ã€‚ 内容 1. GraphDBã¨ã¯ GraphDBã¯ã€äººã‚„物を表ã™Nodeã¨ã€ã¤ãªãŒã‚Šã‚’表ã™Edgeã¨ã„ã†2種類ã®è¦ç´ ã‚’æŒã¡ã€ãã‚Œãžã‚ŒãŒéš£æŽ¥ã™ã‚‹è¦ç´ ã«å¯¾ã—ã¦ã®ãƒã‚¤ãƒ³ã‚¿
InfoQ: グラフデータベースã€NOSQLã€Neo4j
原文(投稿日：2010/05/12)ã¸ã®ãƒªãƒ³ã‚¯ ã¯ã˜ã‚㫠データモデルã«ã¯ã„ã‚ã„ã‚ã‚ã‚‹ãŒã€80年代以é™ã€ä¸»æµã«ãªã£ã¦ã„ã‚‹ã®ã¯ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ¢ãƒ‡ãƒ«ã 。ã“ã®ãƒ¢ãƒ‡ãƒ«ã«ã¯Oracleã€MySQLã€MSSQLãªã©ã®å®Ÿè£…ãŒã‚ã‚Šã€RDBMS（リレーショナルデータベース管ç†ã‚·ã‚¹ãƒ†ãƒ : Relational Database Management System）ã¨å‘¼ã°ã‚Œã‚‹ã“ã¨ã‚‚ã‚る。ã—ã‹ã—最近ã«ãªã£ã¦ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’使ã†ã“ã¨ã§å•é¡ŒãŒèµ·ã“るケースãŒå¢—ãˆã¦ã„る。リレーショナルモデルã«ã‚ˆã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã«ã¯å¼±ç‚¹ã¨å•é¡ŒãŒã‚ã‚Šã€è¤‡æ•°ã‚µãƒ¼ãƒã«åŠã¶æ°´å¹³æ–¹å‘ã®ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã¨è†¨å¤§ãªãƒ‡ãƒ¼ã‚¿ã®æ‰±ã„ã«åˆ¶ç´„ãŒã‚ã‚‹ãŸã‚ã 。ã“れらã®å•é¡Œã®è¦å› ã«ã¯ã€ä¸–ç•Œä¸ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ãŒæ³¨ç›®ã—ã¦ã„ã‚‹2ã¤ã®ãƒˆãƒ¬ãƒ³ãƒ‰ãŒã‚る。 ユーザã€ã‚·ã‚¹ãƒ†ãƒ ã€ã‚»ãƒ³ã‚µãƒ¼ã«ã‚ˆã£ã¦ç”Ÿã¿å‡ºã•ã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿ã®æŒ‡æ•°çš„ãªå¢—åŠ ã€‚Amazonã€Googleã€ãã®ä»–
グラフ型NoSQLデータベース（Neo4jã€InfiniteGraph）編
書ç±ç´¹ä»‹ 本連載ã¯ä¸‹è¨˜æ›¸ç±ã‹ã‚‰ç¬¬5ç« ã‚’åŸºã«ã€ï¼ ITå‘ã‘ã«å†æ§‹æˆã—ã¦æŽ²è¼‰ã—ã¦ã„ã¾ã™ã€‚ 目次 åº ç« ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®æ™‚代 第1ç« NOSQLã¨ã¯ä½•ã‹? 第2ç« NOSQLã®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ« 第3ç« ã‚¢ãƒ¼ã‚テクãƒãƒ£ã®åŸºæœ¬æ¦‚念ã¨æŠ€è¡“ 第4ç« Hadoopã¯NOSQL? 第5ç« ä¸»ãªNOSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹è£½å“ ç¬¬6ç« NOSQLデータベースã®é¸æŠžåŸºæº– 第7ç« NOSQLを使ã†ãƒ“ジãƒã‚¹ 本連載ã¯æ›¸ç±ã€ŽNOSQLã®åŸºç¤ŽçŸ¥è˜ã€ï¼ˆãƒªãƒƒã‚¯ãƒ†ãƒ¬ã‚³ãƒ 刊ã€ISBN：978-4897978871）ã§è§£èª¬ã•ã‚Œã¦ã„る内容ã‹ã‚‰ä¸€éƒ¨ã‚’抜粋ã—ã€æœ¬é€£è¼‰å‘ã‘ã«ä¸€éƒ¨å†ç·¨é›†ã—ã¦æŽ²è¼‰ã—ãŸã‚‚ã®ã§ã™ã€‚ 書ç±ã§ã¯ã€ä¸€èˆ¬ã«NoSQLã¨å‘¼ã°ã‚Œã¦ã„ã‚‹å„種データベース技術ã«ã¤ã„ã¦ã€åŸºæœ¬æ¦‚念ã‹ã‚‰ä¸»è¦ãªãƒ—ãƒãƒ€ã‚¯ãƒˆã®ç‰¹æ€§ã€ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯çµæžœã¾ã§ã‚’紹介ã—ã¦ã„ã¾ã™ã€‚データモデルやアーã‚テクãƒãƒ£ã®é•ã„ã¨ã„ã£ãŸåŸºæœ¬æ¦‚念ã‹ã‚‰ã€å„プãƒãƒ€ã‚¯ãƒˆã®ç‰¹å¾´ã‚’ç†è§£ã§ãる内容ã«ãªã£ã¦ã„ã¾
「GraphDB徹底入門ã€ã€œæ§‹é€ や仕組ã¿ç†è§£ã‹ã‚‰ä½¿ã„ã©ã“ã‚・種々ã®GraphDBã®æ¯”較ã¾ã§å¹…広ã〜
The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database technologies mentioned include Neo4j, OrientDB, and T
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Create a Graph Database and API With PostgreSQL and Node.js
GitHub - debug-ito/greskell: Haskell binding for Gremlin graph query language
GUN - Graph Database
GitHub - nikita-volkov/graph-db: An experimental native Haskell graph database
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InfiniteGraph Product Page
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