NoSQL Databases: a Survey and Decision Guidance
(At the bottom of this page, you find a BibTeX reference to cite this article.) Together with our colleagues at the University of Hamburg, we — that is Felix Gessert, Wolfram Wingerath, Steffen Friedrich and Norbert Ritter — presented an overview over the NoSQL landscape at SummerSOC’16 last month. Here is the written gist. We give our best to convey the condensed NoSQL knowledge we gathered build
Postgres vs Mongo
This table shows us which companies the experts have worked at and in which capacity, however the addresses refer to the company rather then the expert or their specialty, this violates 3NF. Put simply, this can be remembered as "Everything must provide a fact about the key, the whole key, and nothing but the key, so help me Codd". (Codd being the scientist who coined these forms.) Now at this poi
MySQL・PostgreSQLユーザーグループ（MyNA・JPUG）åˆåŒDB勉強会ã§ç™ºè¡¨ã—ãŸè³‡æ–™ã‚’公開ã—ã¾ã—ãŸã€‚「データモデルã«ã¤ã„ã¦çŸ¥ã£ã¦ãŠãã¹ã7ã¤ã®ã“㨠〜NoSQLã«æ‰‹ã‚’出ã™å‰ã«ã€œã€
表題ã®é€šã‚Šã€MyNAã¨JPUGã®åˆåŒDB勉強会ã§ç™ºè¡¨ã‚’ã—ãŸã®ã§è³‡æ–™ã‚’公開ã—ãŸã€‚ 内容ã®è©³ç´°ã¯ã‚¹ãƒ©ã‚¤ãƒ‰ãã®ã‚‚ã®ã‚’見ã¦ã„ãŸã ãã¨ã—ã¦ã€è¨€ã„ãŸã„ã“ã¨ã®ä¸»æ—¨ã¯ã“ã†ã§ã‚る。世ã®ä¸ã«å®Œç’§ãªãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã¯ãªã„ã®ã§ã€NoSQLã¯å½“然ã®å¦‚ãå¿…è¦ã«ãªã‚‹ã€‚ã ãŒã€ä½•ã§ã‚‚ã‹ã‚“ã§ã‚‚NoSQLを使ãˆã°è‰¯ã„ã¨ã„ã†ã‚‚ã®ã§ã¯ãªã„。むã—ã‚アプリケーションãŒå¿…è¦ã¨ã—ã¦ã„るデータモデルãŒä½•ã‹ã¨ã„ã†ã“ã¨ã‚’よãç†è§£ã—ã€æœ¬å½“ã«å¿…è¦ãªå ´åˆã«ã“ãã€NoSQLを使ã†ã¹ããªã®ã§ã‚る。ã¤ã¾ã‚Šã€Œã”利用ã¯è¨ˆç”»çš„ã«ï¼ã€ã¨ã„ã†ã“ã¨ã 。 大切ãªã®ã¯ã€æ§˜ã€…ãªãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã‚’ç†è§£ã—ã€ã‚¢ãƒ—リケーションã«ã¨ã£ã¦ãƒ™ã‚¹ãƒˆãªè£½å“ã‚’é¸æŠžã™ã‚‹ã¨ã„ã†ã“ã¨ã 。ベストãªã®ãŒRDBã‹ã‚‚知れãªã„ã—ã€ãã†ã§ãªã„ã‹ã‚‚知れãªã„。最é©ãªãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ«ã‚’é¸æŠžã—ãŸå ´åˆã«ã€å‡ºæ¥ä¸ŠãŒã£ãŸã‚‚ã®ã®æ€§èƒ½ã‚‚最高ã«ãªã‚‹ã—ã€é–‹ç™ºåŠ¹çŽ‡ã‚‚最も良ããªã‚‹ã€‚データベースã®ä¸»æµã¯RDBã ãŒã€ãã‚Œã¯ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ¢ãƒ‡ãƒ«ãŒã‚«ãƒãƒ¼ã§
DB人気ランã‚ング--NoSQLãªã©æ³¨ç›®ã•ã‚Œã‚‹ã‚‚従æ¥åž‹RDBMSãŒæ”¯é…çš„
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MongoDBã§ECサイトを実é‹ç”¨ã™ã‚‹3ã¤ã®ãƒ†ã‚¯ãƒ‹ãƒƒã‚¯ | Tokyo Otaku Mode Blog
ã“ã‚“ã«ã¡ã¯ã€‚Tokyo Otaku Mode CTOã®é–¢æ ¹ã§ã™ã€‚ Tokyo Otaku Modeã§ã¯ã€2013å¹´8月ã‹ã‚‰otakumode.com上ã«ã‚«ãƒ¼ãƒˆæ©Ÿèƒ½ã‚’è¿½åŠ ã—ã€æ±ºæ¸ˆã¾ã§ã‚’ワンストップã§ã§ãる海外å‘ã‘ECサイトをスタートã—ã¾ã—ãŸã€‚ ã©ã†ã„ã†ã‚·ã‚¹ãƒ†ãƒ 構æˆã§otakumode.comãŒé‹ç”¨ã•ã‚Œã¦ã„ã‚‹ã‹ã‚’èžã‹ã‚ŒãŸæ™‚ã€ã€ŒNode.js + MongoDBã§ã™ã€ã¨ç”ãˆã‚‹ã¨ã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®çš†ã•ã‚“ã¯ä¸€æ§˜ã«ã³ã£ãã‚Šã—ã¾ã™ã€‚特ã«é©šã‹ã‚Œã‚‹ã®ãŒã€MongoDBをメインã®DBã«ä½¿ç”¨ã—ã¦ã„る点ã§ã™ã€‚ä¿¡é ¼æ€§ã«å®šè©•ãŒã‚ã‚‹ã‚ã‘ã§ãªãã€ã¾ãŸNoSQLã«å¯¾ã™ã‚‹ãƒ©ã‚¤ãƒˆãªã‚¤ãƒ¡ãƒ¼ã‚¸ãŒä¸€èˆ¬çš„ã«ã‚ã‚‹ãŸã‚ã€ECサイトã®ãƒ—ãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ã¨ã—ã¦ä½¿ã†ã“ã¨ã«ç–‘å•ã‚’æŒãŸã‚Œã¦ã„ã‚‹æ–¹ãŒå¤šã„ã®ã§ã—ょã†ã€‚ ã—ã‹ã—ã€å分実用ã«è€ãˆã€æ—¥ã€…æ©Ÿèƒ½è¿½åŠ ãŒå…¥ã‚Šæˆé•·ã—続ã‘るスタートアップã®ç’°å¢ƒã§ã€å®Ÿéš›ã«1å¹´é–“é‹ç”¨ã—ã¦ããŸECサイトãŒã“ã“ã«ã‚ã‚‹ã“ã¨ã‚‚事実ã§ã™ã€‚ ã
Redis - Wikipedia
Redis (/ˈrɛdɪs/;[7][8] Remote Dictionary Server)[7] is a source-available, in-memory storage, used as a distributed, in-memory key–value database, cache and message broker, with optional durability.[9] Because it holds all data in memory and because of its design, Redis offers low-latency reads and writes, making it particularly suitable for use cases that require a cache. Redis is the most popula
Redis(2.8ç³»)ã®åŸºæœ¬ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã‹Sentinelã®æŒ™å‹•ã¨ã‹ã®è‰²ã€…メモ - å…ƒRX-7ä¹—ã‚Šã®é©å½“ãªæ—¥ã€…
最近必è¦ã«è¿«ã‚‰ã‚Œã¦ã€ã‚ˆã†ã‚„ãRedisをインストールã—ã¦è§¦ã£ã¦ã¿ã¾ã—ãŸã€‚(Redis童貞ã‹ã‚‰ã®è„±å´) 色々ã¨ã€åŸºæœ¬éƒ¨åˆ†ã§ã¯ã‚ã‚‹ã‘ã©ã€ã›ã£ã‹ã実際ã«è§¦ã‚ŠãªãŒã‚‰å‹‰å¼·ã—ãŸã®ã§ã€ã“ã®ã‚¨ãƒ³ãƒˆãƒªã«ãƒ¡ãƒ¢ã—ã¦ãŠã“ã†ã¨æ€ã„ã¾ã™ã€‚ å°šã€ä½¿ã£ã¦ã¿ãŸRedisã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ã€stableã®æœ€æ–°ç‰ˆã§ã‚ã‚‹2.8.7ã§ã™ã€‚(OSã¯ã€Linuxã®CentOS 6.5) ã¡ãªã¿ã«ã€ã“ã®ã‚¨ãƒ³ãƒˆãƒªã«æ›¸ã„ã¦ã„ãªã„よã†ãªã€Redisã®åŸºæœ¬çš„ãªã‚¢ãƒ¬ã‚³ãƒ¬ã«ã¤ã„ã¦ã¯ã€WEB+DB Press Vol.73ã®Redis特集(2.6å‘ã‘ã§ã¯ã‚ã‚Šã¾ã™ãŒ)ã«ã»ã¨ã‚“ã©æ›¸ã„ã¦ã‚ã‚‹ã®ã§èªã‚€ã¹ã—。 WEB+DB PRESS Vol.73 作者: è¨æ¨‚洋爾,白土慧,ã¯ã¾ã¡ã‚„2,大和田純,æ¾ç”°æ˜Ž,後藤大輔,ã²ã‚ã›ã¾ã•ã‚ã,å°æž—篤,近藤宇智朗,ã¾ã‹ã¾ã‹èˆ¬è‹¥æ³¢ç¾…蜜,Mr. O,å·æ·»è²´ç”Ÿ,é‡å›½å’Œå®,柳澤建太郎,奥野幹也,ä½è—¤é‰„å¹³,後藤秀宣,mala,ä¸å³¶è¡,å ¤æ™º
第2回　Redisã®å°Žå…¥ã¨åŸºæœ¬æ©Ÿèƒ½ | gihyo.jp
今回ã¯å®Ÿéš›ã«Redisをインストールã—ã¦ã¿ã‚‹ã¨ã“ã‚ã‹ã‚‰ã€ã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‚’使ã£ãŸåŸºæœ¬çš„ãªæ“作方法ã€ãã—ã¦å®Ÿéš›ã®ã‚¢ãƒ—リケーション開発時ã«é‡å®ã™ã‚‹DBé¸æŠžã‚„タイムアウトãªã©ã®Redis特有ã®ä»•æ§˜ã«ã¤ã„ã¦èª¬æ˜Žã—ã¾ã™ã€‚ インストール ダウンãƒãƒ¼ãƒ‰ 本連載執ç†æ™‚点ã®æœ€æ–°stableã§ã‚ã‚‹ã€2.0.4をダウンãƒãƒ¼ãƒ‰ã—ã¾ã™ã€‚ $ wget http://redis.googlecode.com/files/redis-2.0.4.tar.gz コンパイル Redisã¯ANSI Cã§æ›¸ã‹ã‚Œã€å¤–部ã®ä¾å˜ãƒ©ã‚¤ãƒ–ラリã®å¿…è¦ãªã„シンプルãªå®Ÿè£…ã«ãªã£ã¦ã„ã‚‹ãŸã‚ã€ã‚³ãƒ³ãƒ‘イルã¯ä»¥ä¸‹ã®ã‚¹ãƒ†ãƒƒãƒ—ã§å®Œäº†ã—ã¾ã™ã€‚ $ tar xzf redis-2.0.4.tar.gz $ cd redis-2.0.4 $ make 「redis-serverã€ã‚„「redis-cliã€ãŒç”Ÿæˆã•ã‚ŒãŸã®ã‚’確èªã—ã¦ãã ã•ã„。 è¨å®šã®å¤‰æ›´
Redis勉強会資料(2015/06 update)
Redis勉強会ã®è³‡æ–™ã§ã™ã€‚2013å¹´ã«åˆç‰ˆã‚’アップã—ã¾ã—ãŸã€‚2015å¹´6月ã«Redis-Clusterã®å†…容を追記ã—ã¦å†ã‚¢ãƒƒãƒ—ã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚Read less
第1回　インメモリデータストア Redisã®æ¦‚è¦ | gihyo.jp
ã¯ã˜ã‚ã« æ ªå¼ä¼šç¤¾ãƒ‰ãƒ¯ãƒ³ã‚´ã§ã€Œãƒ‹ã‚³ãƒ‹ã‚³ç”Ÿæ”¾é€ã€ã®é–‹ç™ºã‚’担当ã—ã¦ã„ã‚‹ã€å°é‡Žã¨ç”³ã—ã¾ã™ã€‚本特集ã§ã¯ã€ã„ã‚ゆる「NoSQLã€ã®ä¸€ç¨®ã§ã‚ã‚‹Redisã®æ¦‚è¦ã¨åŸºæœ¬æ“作ã€ãã—ã¦Webアプリケーションã§ã®å¿œç”¨ä¾‹ã¾ã§ã‚’ã€ãƒ‹ã‚³ãƒ‹ã‚³ç”Ÿæ”¾é€ã§ã®äº‹ä¾‹ã‚’交ãˆãªãŒã‚‰ç´¹ä»‹ã—ã¦ã„ãã¾ã™ã€‚ Redisã¨ã¯ï¼Ÿ Redisã¯ã€Salvatore Sanfilippoæ°ã«ã‚ˆã£ã¦2009å¹´ã«å…¬é–‹ã•ã‚ŒãŸã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ™ãƒ¼ã‚¹ã®ã‚ー・ãƒãƒªãƒ¥ãƒ¼ãƒ»ã‚¹ãƒˆã‚¢ã§ã™ã€‚2010å¹´3月ã«ã¯VMWareãŒåŒæ°ã‚’雇入れã€åŒç¤¾ã®æ”¯æ´ã®ã‚‚ã¨ã€ã‚³ãƒ³ãƒˆãƒªãƒ“ューターã®Pieter Noordhuisæ°ã¨å…±ã«ãƒ•ãƒ«ã‚¿ã‚¤ãƒ ã§é–‹ç™ºãŒé€²ã‚られã¦ã„ã¾ã™ã€‚ 本記事執ç†æ™‚点ã§ã®æœ€æ–°stableã¯ãƒãƒ¼ã‚¸ãƒ§ãƒ³2.0ã¨ãªã‚Šã€æ–°ã—ã„データ型ã®è¿½åŠ やトランザクションã®ã‚µãƒãƒ¼ãƒˆã€VM（仮想メモリ）ã®å®Ÿè£…ãªã©ãŒè¿½åŠ ã•ã‚Œã¾ã—ãŸã€‚ ã¾ãŸã€ãƒ¡ãƒ¢ãƒªåŠ¹çŽ‡ã®å‘上やスループットã®æ”¹å–„ãŒå›³ã‚‰ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³2.2ãŒé–“
bliki: Polyglot Persistence
In 2006, my colleague Neal Ford coined the term Polyglot Programming, to express the idea that applications should be written in a mix of languages to take advantage of the fact that different languages are suitable for tackling different problems. Complex applications combine different types of problems, so picking the right language for the job may be more productive than trying to fit all aspec
Redis - The Real-time Data Platform
# Create a vector index using the HNSW algorithm, 768 dimension length, and inner product distance metric > FT.CREATE idx-videos ON HASH PREFIX 1 video: SCHEMA content_vector VECTOR HNSW 6 TYPE FLOAT32 DIM 768 DISTANCE_METRIC IP content TEXT metadata TEXT # Add a video vector with metadata > HSET video:0 content_vector “\xa4q\t=\xc1\xdes\xbdZ$<\xbd\xd5\xc1\x99<b\xf0\xf2<x[…\xf8<†content “SUMMARY:
SQLを作ã£ãŸäººãŸã¡ - 未æ¥ã®ã„ã¤ã‹/hyoshiokã®æ—¥è¨˜
リレーショナルデータベース管ç†ã‚·ã‚¹ãƒ†ãƒ (RDBMS)ã¯è¨€ã†ã¾ã§ã‚‚ãªã„ã“ã¨ã ã‘ã©ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ç®¡ç†ã®åŸºç¤Žä¸ã®åŸºç¤Žã 。NoSQLã¨ã„ã†RDBMSã§ã¯ãªã„データベース管ç†ã‚·ã‚¹ãƒ†ãƒ ãŒå‡ºã¦æ¥ã¦ã„ã‚‹ãŒãれもSQLãŒã‚ã£ã¦ã“ãã®NoSQLã 。 リレーショナルモデルã¯IBM E.F. Coddåšå£«ãŒæå”±ã—ãŸã€‚Edgar F. Codd - Wikipedia Coddåšå£«ã¯å¾Œã«ãƒãƒ¥ãƒ¼ãƒªãƒ³ã‚°è³žã‚’å—賞ã—ã¦ã„る。 http://en.wikipedia.org/wiki/File:Edgar_F_Codd.jpg ãã®ãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ¢ãƒ‡ãƒ«ã‚’利用ã—ãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ç®¡ç†ã‚·ã‚¹ãƒ†ãƒ ã®ãƒ—ãƒãƒˆã‚¿ã‚¤ãƒ—ãŒSystem Rã 。IBM System R - Wikipedia 1974å¹´ã”ã‚発表ã•ã‚ŒãŸã€‚ ãã®æˆæžœã®ä¸€ã¤ãŒSQLã 。誰ã§ã‚‚使ã£ã¦ã„ã‚‹SQLã¯System Rã®è«–æ–‡ãŒç™ºç¥¥ã®åœ°ã§ã‚る。ãã—ã¦ãã®è«–文をèªã‚“ã§RDBMSを作ã£ãŸç”·ãŒL
FacebookãŒæ–°ã—ã„NoSQLã§ã‚ã‚‹Apolloを発表
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¤‰...
When Google announced their scalable SQL Database F1 one might wonder what’s left of the NoSQL movement if we add SQL again? An analysis.
This is my own and very loose translation of an article I wrote for the Austrian newspaper derStandard.at in October 2013. As this article was very well received and the SQL vs. NoSQL discussion is currently hot again, I though it might be a good time for a translation. Back in 2013 The Register reported that Google sets its bets on SQL again. On the first sight this might look like a surprising m
Key-Value Stores: a practical overview
1. Key-Value stores: a practical overview Marc Seeger Computer Science and Media Ultra-Large-Sites SS09 Stuttgart, Germany September 21, 2009 Abstract Key-Value stores provide a high performance alternative to rela- tional database systems when it comes to storing and acessing data. This paper provides a short overview over some of the currently avail- able key-value stores and their interface to
MySQL Cluster：NoSQL＋SQLã€NoSQLも使ãˆã‚‹é«˜å¯ç”¨æ€§ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªRDBMS | Think IT
MySQL Clusterã¨ã¯ï¼Ÿ MySQL Clusterã¯MySQLã¨ã¯é–‹ç™ºãƒ„リーã®ç•°ãªã‚‹åˆ¥è£½å“ã§ã€å…±æœ‰ãƒ‡ã‚£ã‚¹ã‚¯ã‚’使ã‚ãšã«ã‚¢ã‚¯ãƒ†ã‚£ãƒ–−アクティブã®ã‚¯ãƒ©ã‚¹ã‚¿æ§‹æˆãŒçµ„ã‚るリレーショナルデータベースã§ã™ã€‚å˜ä¸€éšœå®³ç‚¹ãŒç„¡ã„構æˆã‚’組むã“ã¨ãŒã§ãã€å¯ç”¨æ€§ãŒé«˜ã„ãŸã‚ã€ç±³å›½æµ·è»ã®èˆªç©ºæ¯è‰¦ã«ãŠã‘る航空機管制システムãªã©ã€ãƒŸãƒƒã‚·ãƒ§ãƒ³ã‚¯ãƒªãƒ†ã‚£ã‚«ãƒ«ãªåˆ†é‡Žã§ã‚‚多ã利用ã•ã‚Œã¦ã„ã¾ã™ã€‚ã¾ãŸã€ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§ã¯ãƒ‡ãƒ¼ã‚¿ã‚’メモリ上ã«æŒã¤ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚ã‚Šã€ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã‚’高速ã«å‡¦ç†ã§ãã‚‹ãŸã‚ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ 性ãŒæ±‚ã‚られるアプリケーションã«ã‚‚å‘ã„ã¦ã„ã¾ã™ï¼ˆã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚ã£ã¦ã‚‚ã€ãƒ‡ãƒ¼ã‚¿ã®æ°¸ç¶šæ€§ã¯æ‹…ä¿ã•ã‚Œã¦ã„ã¾ã™ï¼‰ã€‚ MySQL Clusterã®åŸºç¤Žã¨ãªã£ã¦ã„る技術ã¯ã€é€šä¿¡æ©Ÿå™¨ãƒ™ãƒ³ãƒ€ã®ã‚¨ãƒªã‚¯ã‚½ãƒ³ã§æºå¸¯é€šä¿¡ç¶²ã®åŠ 入者データベースå‘ã‘ã«é–‹ç™ºã•ã‚ŒãŸ Ericsson Network DataBase（NDB）ã¨å‘¼ã°
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https://jp.techcrunch.com/2014/12/15/20141213foundationdb-and-the-new-nosql/
SQL vs NoSQL: what about other issues than ACID and scalibility? - Ask Use The Index, Luke!
Facebook Announces Apollo, a New NoSQL Database for On-line Low Latency Storage
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