GitHub - incrediblesound/Graph-Reply: A graph based REPL that saves to and loads from diskYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
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
NoSQLデータモデリング技法
NoSQLデータモデリング技法.markdown #NoSQLデータモデリング技法 原文：NoSQL Data Modeling Techniques « Highly Scalable Blog I translated this article for study. contact matope[dot]ono[gmail] if any problem. NoSQLデータベースã¯ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã€ãƒ‘フォーマンスã€ä¸€è²«æ€§ã¨ã„ã£ãŸæ§˜ã€…ãªéžæ©Ÿèƒ½è¦ä»¶ã‹ã‚‰æ¯”較ã•ã‚Œã‚‹ã€‚NoSQLã®ã“ã®å´é¢ã¯å®Ÿè·µã¨ç†è«–ã®ä¸¡é¢ã‹ã‚‰ã‚ˆãç ”ç©¶ã•ã‚Œã¦ã„る。ã‚る種ã®éžæ©Ÿèƒ½ç‰¹æ€§ã¯NoSQLを利用ã™ã‚‹ä¸»ãªå‹•æ©Ÿã§ã‚ã‚Šã€NoSQLシステムã«ã‚ˆãé©ç”¨ã•ã‚Œã‚‹CAP定ç†ãŒãã†ã§ã‚るよã†ã«åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®åŸºæœ¬çš„原則ã ã‹ã‚‰ã 。一方ã§ã€NoSQLデータモデリングã¯ã‚ã¾ã‚Šç ”究ã•ã‚Œã¦ãŠã‚‰ãšã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«è¦‹ã‚‰ã‚Œã‚‹ã‚ˆã†ãªã‚·ã‚¹ãƒ†ãƒžãƒ†ã‚£ãƒƒã‚¯
AvocadoDB | The universal nosql database
AvocadoDB is an easy to use mostly memory, high performance, open source db with a unique combination of features like support for graph & geo algorithms.We recently started a new open source project – a nosql database called AvocadoDB. Key features include: Schema-free schemata let you combine the space efficiency of MySQL with the performance power of NoSQL Use AvocadoDB as an application server
Graphs in the database: SQL meets social networks – techPortal
Graphs are ubiquitous. Social or P2P networks, thesauri, route planning systems, recommendation systems, collaborative filtering, even the World Wide Web itself is ultimately a graph! Given their importance, it’s surely worth spending some time in studying some algorithms and models to represent and work with them effectively. In this short article, we’re going to see how we can store a graph in a
スタートGraphDB | GraphDB Vertex JP
よã†ã“ãã€GraphDB Vertex JPã¸ã€‚ GraphDBã€æœ€è¿‘話ã«ã¯èžãã‘ã©ã‚‚ã©ã†ä½¿ã†ã¹ãã‹ã„ã¾ã„ã¡æŽ´ã‚ãªã„ã¨ã„ã†æ–¹ã‚‚多ã„ã‹ã¨æ€ã„ã¾ã™ã€‚ç§è‡ªèº«ã‚‚色々模索ã—ã¦ã„る最ä¸ã§ã™ãŒã€æ—¢å˜ã®RDBã‚„KVSã¨ã‚‚ã¾ãŸé•ã£ãŸä¸–ç•Œã®ãŸã‚最åˆã¯ã©ã†æ‰±ã£ã¦ã„ã„ã‹ã‚ã‹ã‚‰ãªã„ã‹ã‚ã‹ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚ã—ã‹ã—実際ã«ã‚µãƒ¼ãƒã‚’èµ·å‹•ã—ã€å‹•ä½œã‚’試ã™ã¨å°‘ã—ãšã¤ã§ã™ãŒç†è§£ã§ãるよã†ã«ãªã‚‹ã¯ãšã§ã™ã€‚ ã—ã‹ã—ç¾æ™‚点（2011å¹´9月）ã§ã¯æƒ…å ±ãŒå°‘ãªãã€å…·ä½“çš„ã«ä½•ã‚’ã™ã‚Œã°ã„ã„ã®ã‹éžå¸¸ã«ã‚ã‹ã‚Šã«ãã„ã®ãŒå®Ÿæƒ…ã‹ã¨æ€ã„ã¾ã™ã€‚ãã“ã§ã“ã®ãƒšãƒ¼ã‚¸ã§ã¯ç°¡å˜ã«GraphDBを体験ã™ã‚‹æ–¹æ³•ã‚’書ãã¾ã—ãŸã€‚ 今回ã¯OrientDBを例ã«ã—ã¦ã„ãã¾ã™ãŒã€GraphDB共通ã§ä½¿ãˆã‚‹ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ã‚¤ã‚¹ã®TinkerPopã€Gremlinを利用ã—ã¦ã„ã‚‹ã®ã§Neo4jã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚‚åŒã˜ã‚ˆã†ã«åˆ©ç”¨ãŒå¯èƒ½ãªã¯ãšã§ã™ã€‚ ※ã“ã®è¨˜äº‹ã¯è‡ªã‚µã‚¤ãƒˆã«æ›¸ã„ãŸã‚‚ã®ã‚’アレンジã—ã¾ã—ãŸ
AllegroGraph News
Franz periodically distributes newsletters to its Semantic Technologies, and Common Lisp based Enterprise Development Tools mailing lists, providing information on related upcoming events and new software product developments. The latest newsletter is displayed below. Previous issues are listed in the Newsletter Archive. Webcast - Navigating Time and Probability in Knowledge Graphs Thursday, March
大è¦æ¨¡ã‚°ãƒ©ãƒ•å‡¦ç†ãƒ•ãƒ¬ãƒ¼ãƒ ワーク Pregel ã®ã‚ªãƒ¼ãƒ—ンソース実装 Bagel ã¨ã‹ - Standard ML of Yukkuri
ref: http://portal.acm.org/citation.cfm?id=1582723大è¦æ¨¡ã‚°ãƒ©ãƒ•å‡¦ç†ãƒ•ãƒ¬ãƒ¼ãƒ ワーク Pregel ã®è«–文をèªã¿, BSP (Bulk Synchronous Parallel) モデルã§å®Ÿè£…ã—ãŸã„グラフã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒã„ãã¤ã‹ã‚ã£ãŸã®ã§ã‚ªãƒ¼ãƒ—ンソース実装を探ã—ã¦ã¿ãŸ. GoldenOrb, Phoebus, HAMA (汎用的ãªBSP model), ãã—㦠Bagel ãªã©ã„ãã¤ã‹ã®å®Ÿè£…ãŒã‚るよã†ã§, GoldenOrb 㯠Java, Phoebus 㯠Erlang ã§å®Ÿè£…ã•ã‚Œã¦ãŠã‚Š, Bagel 㯠Scala ã§æ›¸ã‹ã‚Œã¦ã„ã‚‹. Bagel 㯠Spark 上ã§å‹•ãシンプルãªå®Ÿè£… (ãŸã£ãŸã® 150 行程度) ã§, 大è¦æ¨¡ãªã‚¿ã‚¹ã‚¯ã«å¯¾ã—ã¦ã‚‚スケールã™ã‚‹é‹ç”¨ãŒå¯èƒ½ã«æ€ãˆãŸã®ã§ Bagel を使ã£ã¦ã¿ã‚‹ã“ã¨ã«ã—ãŸ. (Phoebus ã¯
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Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ 第2版 何åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ック「Practical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootを使ã£ãŸREST API構築ã®åŸºç¤Žã‚’å¦ã‚“ã 。ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ãリリースã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 を使用ã—ã¦ã„る。ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘リリースã•ã‚Œã€é‡è¦ãªå¤‰...
Freebase
Send feedback Data Dumps Stay organized with collections Save and categorize content based on your preferences. Data Dumps are a downloadable version of the data in Freebase. They constitute a snapshot of the data stored in Freebase and the Schema that structures it, and are provided under the same CC-BY license. The Freebase/Wikidata mappings are provided under the CC0 license. Freebase Triples F
GitHub - xslogic/phoebus: Phoebus is a distributed framework for large scale graph processing written in Erlang.
* UPDATE[29/11/2010] : Added support for 'Aggregate' function PHOEBUS ======= Contents -------- * Introduction * Computational Model * Distributed Processing * Getting it to work * Pluggable Storage and True Multi-Node Distribution with HDFS and Thrift * Next Steps * References Introduction ------------ Phoebus is a system written in Erlang for Distributed processing of very large graphs that span
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NoSQL Databases - NoSQL Databases - The Graph Traversal Programming Pattern (Part 3) - Graph Traversal
NoSQL Databases - NoSQL Databases - The Graph Traversal Programming Pattern (Part 2) - Graph Databases
NoSQL Databases - NoSQL Databases - The Graph Traversal Programming Pattern (Part 1) - Graph Structures
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