A Comparison Of NoSQL Database Management Systems And Models | DigitalOcean
Introduction When most people think of a database, they often envision the traditional relational database model that involves tables made up of rows and columns. While relational database management systems still handle the lion’s share of data on the internet, alternative data models have become more common in recent years as developers have sought workarounds to the relational model’s limitatio
Wix Engineering
MySQL is a better NoSQL. When considering a NoSQL use case, such as key/value storage, MySQL makes more sense in terms of performance, ease of use, and stability. MySQL is a solid engine with lots of online material, ranging from operations and failure cases, to replication and different patterns of usage. For this reason, it has an advantage over newer NoSQL engines that are not as battle tested.
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Apache Drill 1.0ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸã®ã§Amazon S3ã¨é€£æºã—ã¦ã¿ãŸ | DevelopersIO
ã¯ã˜ã‚ã« Apache Drill 1.0ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸï¼ Drill 1.0 Released Apache Drillã¯ã€NoSQLå‘ã‘ã®SQLクエリエンジンã§ã€ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ 上ã®JSON/CSV/Parquetãªã©ã®ãƒ•ã‚¡ã‚¤ãƒ«ã€Hiveソースã€HBaseã€MongoDBãªã©ã«ç›´æŽ¥SQLクエリを投ã’ã‚‹ã“ã¨ãŒå‡ºæ¥ã¾ã™ã€‚ 何ã¯ã¨ã‚‚ã‚ã‚Œã€è§¦ã£ã¦ã¿ãªã„ã¨ã©ã‚“ãªãƒ¢ãƒŽãªã®ã‹ã‚ã‹ã‚Šã¾ã›ã‚“。早速試ã—ã¦ã¿ã¾ã—ãŸï¼ ã‚„ã£ã¦ã¿ãŸ 試ã—ãŸç’°å¢ƒã¯EC2(on Amazon Linux 2015.03)ã§ã™ã€‚ セットアップ Drillã®å‹•ä½œã«ã¯JDK 7ãŒå¿…è¦ã«ãªã‚Šã¾ã™ã®ã§ã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„ã‚‹ã“ã¨ã‚’確èªã—ã¾ã™ã€‚ $ java -version java version "1.7.0_79" OpenJDK Runtime Environment (amzn-2.5.5.1.59.amzn1-x86_64
The Apache Software Foundation Announces Apache Drill 1.0 - Apache Drill
Author: Tomer Shiran (Founder, PMC Member and Committer, Apache Drill) Date: May 19, 2015 Thousands of users adopt Open Source, enterprise-grade, schema-free SQL query engine for Apache Hadoop®, NoSQL and Cloud storage Forest Hill, MD –19 May 2015– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, ann
NoSQL Databases: An Overview
Over the last few years we have seen the rise of a new type of databases, known as NoSQL databases, that are challenging the dominance of relational databases. Relational databases have dominated the software industry for a long time providing mechanisms to store data persistently, concurrency control, transactions, mostly standard interfaces and mechanisms to integrate application data, reporting
Datomicæƒ…å ±ãƒ¢ãƒ‡ãƒ«
Datomicã¯ã€æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ ã§ã‚るデータベースã¨è€ƒãˆã‚‰ã‚Œã¦ã„ã¾ã™ã€‚æƒ…å ±ã¯äº‹å®Ÿã®é›†åˆã§ã‚ã‚Šã€äº‹å®Ÿã¯èµ·ããŸã“ã¨ã§ã™ã€‚人ã¯éŽåŽ»ã‚’変ãˆã‚‰ã‚Œã¾ã›ã‚“。ã¤ã¾ã‚Šã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯ãã®éƒ¨åˆ†ã‚’æ›´æ–°ã™ã‚‹ã®ã§ã¯ãªãã€äº‹å®Ÿã‚’è“„ç©ã™ã‚‹ã‚‚ã®ãªã®ã§ã™ã€‚éŽåŽ»ã¯å¿˜ã‚Œã‚‰ã‚Œã‚‹ä¸€æ–¹ã§ã€å¤‰ãˆã‚‹ã“ã¨ã¯ã§ãã¾ã›ã‚“。ãã®ãŸã‚ã€èª°ã‹ãŒä½æ‰€ã‚’「変更ã€ã—ãŸã‚‰ã€Datomicã¯éŽåŽ»ã®äº‹å®Ÿã‚’ç½®ãæ›ãˆã‚‹ã®ã§ã¯ãªãã€æ–°ã—ã„ä½æ‰€ã‚’æŒã¤ã¨ã„ã†äº‹å®Ÿã‚’記憶ã—ã¾ã™ã€‚(ç¾æ™‚点ã®ã“ã¨ãŒå˜ã«æ ¼ç´ã•ã‚Œã¦ã„ã¾ã™ã€‚) ã“ã®ä¸å¤‰æ€§ã«ã‚ˆã‚Šã€æ•°å¤šãã®é‡è¦ãªã‚¢ãƒ¼ã‚テクãƒãƒ£ã«é–¢ã™ã‚‹åˆ©ç‚¹ã¨æ©Ÿä¼šãŒç”Ÿã¾ã‚Œã¾ã™ã€‚å‰å›žã®è¨˜äº‹ã§ã¯ã€Datomicアーã‚テクãƒãƒ£ã®ã“ã¨ã‚’書ãã¾ã—ãŸã€‚ã“ã®è¨˜äº‹ã§ã¯ã€æƒ…å ±ãƒ¢ãƒ‡ãƒ«ã¨ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®çµŒé¨“ã«æ³¨ç›®ã—ã¾ã™ã€‚ 従æ¥ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹(ã¨æ•°å¤šãã®æ–°ã—ã„データベース!)ã¯ã€ã€Œä»Šã€ã€ç›®ã®å‰ã«ã‚る事実ã€ã«æ³¨ç›®ã—ã¾ã™ãŒã€ãã†ã™ã‚‹ã“ã¨ã§æƒ…å ±ã‚’å¤±ã£ã¦ã„ã¾ã™ã€‚ビジãƒã‚¹ã¯æ´å²çš„æƒ…å ±ã®ä¸ã«
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CouchDBã¨MongoDBã‚’ã—ã°ã‚‰ã使ã£ã¦ã¿ã¦ã€ãã®ä½¿ã„分ã‘ã®ãƒã‚¤ãƒ³ãƒˆãŒã‚ã‹ã£ã¦ããŸã‚ˆã†ãªæ°—ãŒã™ã‚‹ã®ã§ã€ã¡ã‚‡ã£ã¨æ›¸ã„ã¦ã¿ãŸã„。 CouchDBã¨MongoDBã¯ã€åºƒã「NoSQLã€ã¨ç·ç§°ã•ã‚Œã¦ã„ã‚‹éžSQL型データベースã®ã†ã¡ã€ã€Œãƒ‰ã‚ュメントデータベースã€ã¨å‘¼ã°ã‚Œã‚‹ã‚«ãƒ†ã‚´ãƒªã‚’代表ã™ã‚‹ï¼’ã¤ã 。ドã‚ュメントデータベースã¨ã¯ã€ã‹ã‚“ãŸã‚“ã«ã„ã†ã¨ã€JSONデータ（ï¼ãƒ‰ã‚ュメント）をãã®ã¾ã¾ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ä¿å˜ã§ãã‚‹ã¨ã„ã†ã‚‚ã®ã§ã€å¾“æ¥ã®RDBã®ã‚ˆã†ãªã€Œã‚¹ã‚ーマã€ãŒãªã„。複数ã®ãƒ†ãƒ¼ãƒ–ルをçµåˆï¼ˆjoin）ã™ã‚‹ã¨ã„ã†ä½¿ã„方をã›ãšã€ä¸€æ„ã‚ーã®æŒ‡å®šã‚„比較的å˜ç´”ãªã‚¯ã‚¨ãƒªãƒ¼ã§JSONデータをå–り出ã™ã€‚ ã“ã“ã§ã¯è©³ã—ã„話ã«ã¯è¸ã¿è¾¼ã¾ãšã€ï¼’ã¤ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®é•ã„ã‚’ç§ã®ä¸»è¦³ã§ã€ã”ã大雑把ã«ã¾ã¨ã‚ã¦ã¿ã‚‹ã€‚ ã¾ãšã€ãã‚Œãžã‚Œã®å¼·ã¿ã‚’ç§ã®å°è±¡ã§ï¼“ã¤ãšã¤æ›¸ãã¨ã€ã“ã‚“ãªæ„Ÿã˜ã 。 CouchDBã®å¼·ã¿ï¼š １）優れãŸç®¡ç†ç”»é¢ã€ŒFuton
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NoSQLã®ç™»å ´ã¯ã€ã€Œãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã„ãˆã°ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ã¨ã„ã†çŠ¶æ³ã‚’大ãã変ãˆã¾ã—ãŸã€‚リレーショナルデータベースã¨æ¯”ã¹ã¦é«˜é€Ÿã§ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã«å„ªã‚ŒãŸNoSQLデータベースã¯ç™»å ´å½“åˆã‹ã‚‰æ³¨ç›®ã•ã‚Œã¾ã—ãŸãŒã€ä¸€æ–¹ã§ã„ã¾ã«è‡³ã‚‹ã¾ã§ã•ã¾ã–ã¾ãªç¨®é¡žã®è£½å“ãŒç™»å ´ã—ã¦æ··æ²Œã¨ã—ã¦ã„るよã†ã«ã‚‚見ãˆã¾ã™ã€‚ （作者 Stefan Edlichã€ç¿»è¨³è€… 大田 ç·‘ - (æ ª)ãƒã‚§ãƒ³ã‚¸ãƒ“ジョンã€æŠ•ç¨¿æ—¥ 2013å¹´1月1日） NoSQLã¯åŽ³ã—ã„批判ã«å°‘ãªãã¨ã‚‚4å¹´é–“ã•ã‚‰ã•ã‚Œã¦ãã¾ã—ãŸã€‚ãã—ã¦ã€ä»Šã€NoSQLã®ç¾çŠ¶ã«ã¤ã„ã¦ä¸é–“å ±å‘Šã™ã‚‹æ™‚ãŒã‚„ã£ã¦æ¥ã¾ã—ãŸã€‚NoSQLã®å‘¨è¾ºã§ã¯ã„ã‚ã„ã‚ãªã“ã¨ãŒèµ·ã“ã£ãŸãŸã‚ã€å…¨ä½“åƒã‚’ã¤ã‹ã‚“ã§ã€ã©ã®ã‚ˆã†ãªç›®çš„ã‚’é”æˆã—ãŸã‹ã€ã¾ãŸã€NoSQLã¯ã©ã“ã§å¤±æ•—ã—ãŸã‹ã‚’評価ã™ã‚‹ã®ã¯ç°¡å˜ãªã“ã¨ã§ã¯ã‚ã‚Šã¾ã›ã‚“。 様々ãªåˆ†é‡Žã«ãŠã„ã¦ã€NoSQLã¯ç”£æ¥çš„ã«ã‚‚å¦å•çš„ã«ã‚‚ã‹ãªã‚ŠæˆåŠŸã‚’ãŠã•ã‚ã¦ãã¾ã—ãŸã€‚大å¦
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‚¯
MongoTokyo 2011ã§ç™ºè¡¨ã‚’è¡Œã„ã¾ã—㟠- Preferred Networks Research & Development
最近ã€ã‚ªãƒ•ã‚£ã‚¹ã§ã‚¢ãƒ¼ãƒ«ã‚°ãƒ¬ã‚¤ã®ç´…茶を優雅ã«é£²ã‚€ã®ã«ã¯ã¾ã£ã¦ã„ã¾ã™ã€‚太田ã§ã™ã€‚ 昨日ã«ãªã‚Šã¾ã™ãŒãƒ‰ã‚ュメント型データベースMongoDBã®ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹â€MongoTokyo 2011“ã§ç™ºè¡¨ã‚’è¡Œã„ã¾ã—ãŸã€‚内容ã¨ã—ã¦ã¯å¼Šç¤¾ã§é–‹ç™ºã—ã¦ã„る検索エンジン「Sedueã€ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã—ã¦ã€ŒMongoDBã€ã‚’組ã¿è¾¼ã‚“ã ã¨ã„ã†å†…容ã§ã™ã€‚ スライドã¯ä»¥ä¸‹ã«ãªã‚Šã¾ã™ã€‚ イベント自体もéžå¸¸ã«å‹‰å¼·ã«ãªã‚Šã¾ã—ãŸã€‚特ã«ReplicaSetã‚„Sharding機能ã«é–¢ã—ã¦ã¯ã€ã»ã¨ã‚“ã©ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ãŒç„¡ã‹ã£ãŸç‚ºã«è‰²ã€…ã¨æƒ…å ±ã‚’ä»•å…¥ã‚Œã‚‹äº‹ãŒå‡ºæ¥ã€éžå¸¸ã«æœ‰æ„義ãªã‚¤ãƒ™ãƒ³ãƒˆã§ã—ãŸã€‚ 次回ã®é–‹å‚¬ã‚‚期待ã—ã¦ãŠã‚Šã¾ã™ï¼é‹å–¶å´ã®çš†æ§˜ã€æœ‰ã‚Šé›£ã†å¾¡åº§ã„ã¾ã—ãŸm(_ _)m
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