Managed Graph Database - Amazon Neptune - AWS
Scale your graphs with unlimited vertices and edges, and more than 100,000 queries per second for the most demanding applications. Storage scaling of up to 128Tib per cluster and read scaling with up to 15 replicas per cluster. Provide high availability for your applications and make your data durable across three Availability Zones in a Region. Global database allows a singles database to span mu
「Predixã€ã®æ ¸ã¯ã€Œã‚°ãƒ©ãƒ•DBã€ã«ã‚ã‚Š
米ゼãƒãƒ©ãƒ«ãƒ»ã‚¨ãƒ¬ã‚¯ãƒˆãƒªãƒƒã‚¯ï¼ˆGE）ã¯ç”£æ¥æ©Ÿå™¨å‘ã‘ã®IoT（Internet of Things）を実ç¾ã™ã‚‹ãŸã‚ã«ã€ãƒ—ラットフォームã§ã‚る「Predixã€ã‚’開発ã—ãŸã€‚Predixã¯ã€Œã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ï¼ˆDB）ã€ãªã©ã®æœ€æ–°æŠ€è¡“ã‚’æ„欲的ã«æŽ¡ç”¨ã™ã‚‹ã€‚ GEãŒã‚·ãƒªã‚³ãƒ³ãƒãƒ¬ãƒ¼ã«ç½®ã「GEデジタルã€ã§Predixã®é–‹ç™ºã‚’指æ®ã™ã‚‹ãƒãƒ¬ãƒ«ãƒ»ã‚³ãƒ‡ãƒƒã‚·ãƒ¥CTO（最高技術責任者）ã«ã€å¾“æ¥åž‹ã‚·ã‚¹ãƒ†ãƒ ã¨Predixã¨ã®é•ã„ã‚„ã€Predixã®æŠ€è¡“的特徴ãªã©ã‚’èžã„ãŸã€‚ Predixã¨ã¯ã©ã®ã‚ˆã†ãªãƒ—ラットフォームã§ã€å¾“æ¥ã®ã‚·ã‚¹ãƒ†ãƒ ã¨æ¯”較ã—ã¦ä½•ãŒé•ã†ã®ã§ã—ょã†ã‹ã€‚ Predixã¨ãã®ã»ã‹ã®ã‚·ã‚¹ãƒ†ãƒ ã¨ã®é•ã„ã¯ã€å¤§ããå››ã¤ã«æ•´ç†ã§ãã¾ã™ã€‚ 一ã¤ç›®ã®é•ã„ã¯ã€ç”¨é€”ã§ã™ã€‚Predixã¯ç”£æ¥ç”¨æ©Ÿå™¨ï¼ˆè¨å‚™è³‡ç”£ï¼‰ã®â€œæˆæžœâ€ã®æœ€å¤§åŒ–を目的ã¨ã—ãŸã€ŒSystem of Asset（産æ¥ç”¨æ©Ÿå™¨ã®ã‚·ã‚¹ãƒ†ãƒ ）ã€ã‚’実ç¾ã™ã‚‹ãƒ—ラットフォームã§ã™ã€‚産æ¥ç”¨æ©Ÿå™¨
Amazon Neptune – フルマãƒãƒ¼ã‚¸ãƒ‰ã®ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚µãƒ¼ãƒ“ス | Amazon Web Services
Amazon Web Services ブãƒã‚° Amazon Neptune – フルマãƒãƒ¼ã‚¸ãƒ‰ã®ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚µãƒ¼ãƒ“ス ç¾ä»£ã®ç”Ÿæ´»ã‚’å¯èƒ½ã«ã™ã‚‹ãŸã‚ã«å¿…è¦ãªå…¨ã¦ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ やアルゴリズムã®ä¸ã§ã‚‚ã€ã‚°ãƒ©ãƒ•ã¯æ—¥ã€…世界を変ãˆã¦ã„ã¾ã™ã€‚ビジãƒã‚¹ã‹ã‚‰ã¯ã€è¤‡é›‘ãªé–¢ä¿‚性をæŒã¤ãƒªãƒƒãƒãªãƒ‡ãƒ¼ã‚¿ãŒç”Ÿã¾ã‚Œç¶šã‘ã€ã¾ãŸå–ã‚Šè¾¼ã¾ã‚Œç¶šã‘ã¦ã„ã¾ã™ã€‚ã—ã‹ã—開発者ã¯æœªã ã«ãƒˆãƒ©ãƒ‡ã‚£ã‚·ãƒ§ãƒŠãƒ«ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ä¸ã§ã‚°ãƒ©ãƒ•ã®ã‚ˆã†ãªè¤‡é›‘ãªé–¢ä¿‚性を扱ã†ã“ã¨ã‚’å¼·è¦ã•ã‚Œã¦ã„ã¾ã™ã€‚必然的ã«ã€ãã®ã‚ˆã†ãªé–¢ä¿‚性-リレーションシップãŒè¿½åŠ ã•ã‚Œã‚‹ã«ã¤ã‚Œã€ãƒ‘フォーマンスã¯åŠ£åŒ–ã—ã€ã„らã„らã™ã‚‹ãらã„高コストã§è¤‡é›‘ãªã‚¯ã‚¨ãƒªã¨ãªã£ã¦ã„ãã¾ã™ã€‚我々ã¯ãã®ã‚ˆã†ãªãƒ¢ãƒ€ãƒ³ã§è¤‡é›‘性ãŒæ—¥ã€…高ã¾ã‚‹ã‚ˆã†ãªãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚„リレーションシップã€ãƒ‘ターンを簡å˜ã«æ‰±ãˆã‚‹ã‚ˆã†ã«ã—ãŸã„ã¨è€ƒãˆã¾ã—ãŸã€‚ Hello, Amazon Neptune 2017å¹´11月29æ—¥ã€æˆ‘々ã¯é™å®šãƒ—レビュ
Titan: Distributed Graph Database
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Elastic and linear scalability for a growin
Building a Graph Database on AWS Using Amazon DynamoDB and Titan | Amazon Web Services
AWS Big Data Blog Building a Graph Database on AWS Using Amazon DynamoDB and Titan At AWS re:Invent 2017, we announced the preview of Amazon Neptune, a fast and reliable graph database built for the cloud. Though this blog post still shows the benefits a graph database can deliver for certain use cases, if you are about to build an application yourself and need a graph database, you should first c
グラフデータベース
SNSã®æ™®åŠã‚„相互ä¾å˜æ€§ã®é«˜ã„データã®å¢—åŠ ã«ä¼´ã„ã€å¾“æ¥åž‹ã®ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã®å‡¦ç†åŠ¹çŽ‡ã®å•é¡Œã‚’解決ã™ã‚‹ãŸã‚ã«ç™»å ´ã—ã€è¿‘年使ã‚れるよã†ã«ãªã£ãŸã®ãŒã€ã€Œã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã€ã§ã™ã€‚本書ã§ã¯ã“ã®ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã¨ã€ã“ã®ãƒ¢ãƒ‡ãƒ«ã‚’使ã£ãŸã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ã¤ã„ã¦ã€ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ä»£è¡¨çš„ãªå˜åœ¨ã§ã‚ã‚‹Neo4jを使ã£ã¦è§£èª¬ã€‚Neo4jã®ä¸å¿ƒçš„ãªé–‹ç™ºè€…ãŸã¡ã«ã‚ˆã‚‹åŸ·ç†ã®ãŸã‚ä¿¡é ¼æ€§ãŒé«˜ãã€ã¾ãŸã€å®Ÿä¾‹ã‚‚éšæ‰€ã«ç¹”ã‚Šè¾¼ã¾ã‚Œå®Ÿç”¨æ€§ã‚‚高ã„ã‚‚ã®ã¨ãªã£ã¦ã„ã¾ã™ã€‚内部アーã‚テクãƒãƒ£ã«ã¤ã„ã¦ã‚‚ã¦ã„ãã„ã«æ›¸ã‹ã‚Œã¦ãŠã‚Šã€ãªãœãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã‚ˆã‚Šã‚‚グラフデータモデルã®æ–¹ãŒã‚°ãƒ©ãƒ•å‡¦ç†ã«é©ã—ã¦ã„ã‚‹ã®ã‹ã‚’ç†è§£ã§ãã‚‹ã§ã—ょã†ã€‚本書ã¯ã€ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã¨ã‚°ãƒ©ãƒ•ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ç‰¹å¾´ã¨ä½¿ã„方をã¾ã¨ã‚ãŸå„ªã‚ŒãŸå…¥é–€æ›¸ã§ã™ã€‚ åº ã¾ãˆãŒã 1ç« ã€€ã¯ã˜ã‚ã« 1.1　グラフã¨ã¯ä½•ã‹ 1.2ã€€ã‚°ãƒ©ãƒ•é ˜åŸŸã®æ¦‚è¦ 1.2.1　グラフデータベ
グラフDBã®Neo4jã‚’1日触ã£ã¦ã¿ãŸ - Wantedly Engineer Blog
ã“ã‚“ã«ã¡ã¯ï¼Wantedlyã§12月ä¸ã«ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ³ã‚·ãƒƒãƒ—ã‚’ã—ã¦ã„ãŸå¾Œè—¤ã§ã™ï¼Ž 今回，æ¥å‹™ã®ä¸€ç’°ã¨ã—ã¦ã‚°ãƒ©ãƒ•DBã§ã‚ã‚‹Neo4jã‚’1日触ã£ã¦ã¿ãŸã®ã§ï¼Œãã‚Œã«é–¢ã—ã¦ã¤ã‚‰ã¤ã‚‰æ›¸ã„ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ï¼Ž Neo4jã£ã¦ï¼Ÿ Neo4jã¯ã‚°ãƒ©ãƒ•DB（データã®æ§‹é€ ãŒå…¨ã¦ã‚°ãƒ©ãƒ•æ§‹é€ ã§è¡¨ã•ã‚Œã‚‹DB）ã®1ã¤ã§ã™ï¼Ž Javaã§å®Ÿè£…ã•ã‚Œã¦ãŠã‚Šï¼Œã‚ªãƒ¼ãƒ—ンソースã¨ã—ã¦å…¬é–‹ãƒ»é–‹ç™ºãŒé€²ã‚られã¦ã„ã¾ã™ï¼Ž Neo4jå…¬å¼ ã‚°ãƒ©ãƒ•DBã®ä½ç½®ä»˜ã‘，åŠã³ãã®æ€§è³ªã«é–¢ã—ã¦ã¯æ¬¡ã®è¨˜äº‹ãŒåˆ†ã‹ã‚Šã‚„ã™ã„ã§ã—ょã†ã‹ï¼Ž SQLã‹NoSQLã‹ã¨ã„ã†åˆ†é¡žã ã¨å‹¿è«–NoSQLã«åˆ†é¡žã•ã‚Œã¾ã™ï¼ŽãŒï¼ŒKey-Value型やドã‚ュメント指å‘ã®ã‚‚ã®ã¨ã¯ã¾ãŸç•°ãªã‚Šã¾ã™ï¼Ž InfoQ グラフデータベースã€NOSQLã€Neo4j RDBã‚„Key-Valueåž‹ã®DBãªã©ï¼Œä»–ã®ã‚¿ã‚¤ãƒ—ã®DBã¨ã®æ¯”較ã«ã¤ã„ã¦ã¯å…¬å¼ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã«ç°¡å˜ã«ã¾ã¨ã‚られã¦ã„ã¾ã™ï¼Ž 2.2. Compari
Graph Databases, published by O'Reilly Media
O'Reilly Graph Databases The Definitive Book of Graph Databases. Download your FREE copy Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build
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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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GitHub - thinkaurelius/titan: Distributed Graph Database
https://jp.techcrunch.com/2015/01/16/20150115neo-technology-bags-20m-as-graph-databases-gets-hot/
http://atnd.org/events/19332
neo4j open source nosql graph database
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