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Comparison of different SQL implementations
The goal of this page was to gather information relevant for people who are porting SQL from one product to another and/or are interested in possibilities and limits of 'cross-product' SQL. The following tables compare how different DBMS products handled various SQL (and related) features. If possible, the tables also stated how the implementations should do things, according to the SQL standard.
macks 2010/10/09
DB
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Red HatãŒFirestarã¨DataTernã¨ã®O/Rãƒžãƒƒãƒ”ãƒ³ã‚°ç‰¹è¨±è¨´è¨Ÿã§å’Œè§£
Red Hatã¯2008å¹´6æœˆ11æ—¥ï¼ŒFirestar Softwareã¨DataTernã‹ã‚‰è¨´ãˆã‚‰ã‚Œã¦ã„ãŸç‰¹è¨±è¨´è¨Ÿã§å’Œè§£ã—ãŸã¨ç™ºè¡¨ã—ãŸã€‚ Red Hatã¯Firestar Softwareã¨DataTernã‹ã‚‰ï¼Œ2006å¹´ã«ç‰¹è¨±ä¾µå®³ã§è¨´ãˆã‚‰ã‚Œãˆã¦ã„ãŸã€‚Red Hatã¯ã€ŒRed Hatã¯ç‰¹è¨±ä¾µå®³ã‚’å¦å®šã—ãŸã€‚å’Œè§£ã¯ç‰¹å®šã®ã‚¯ãƒ¬ãƒ¼ãƒ ã ã‘ã§ãªãï¼Œé¡§å®¢ãŠã‚ˆã³ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ»ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã«å¯¾ã™ã‚‹åºƒç¯„ãªä¿è·ã‚’æä¾›ã™ã‚‹ã‚‚ã®ã§ã‚ã‚‹ã€ã¨ã—ã¦ã„ã‚‹ã€‚ Red Hatã§ã¯ã€Œä¿è·ã®å¯¾è±¡ã¨ãªã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚¨ã‚¢ã¯Red Hatãƒ–ãƒ©ãƒ³ãƒ‰ã®ã‚‚ã¨ã§é…å¸ƒã•ã‚Œã‚‹ã™ã¹ã¦ã®ã‚½ãƒ•ãƒˆã‚¦ã‚¨ã‚¢ï¼ŒãŠã‚ˆã³ãã‚Œã‚‰ã®ä¸Šæµã®ä»¥å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ï¼ŒãŠã‚ˆã³æ´¾ç”Ÿç‰©ï¼ˆderivative worksï¼‰ï¼Œçµ„ã¿åˆã‚ã›ãŸã‚‚ã®ï¼ˆcombination productsï¼‰ã€ã§ã‚ã‚‹ã¨ã—ã¦ã„ã‚‹ã€‚ ã“ã®è¨´è¨Ÿã¯ç±³ç‰¹è¨±ç•ªå·6,101,502ã«é–¢ã™ã‚‹ã‚‚ã®ã§ï¼Œã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæŒ‡å‘ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³
macks 2009/09/28
ç‰¹è¨±

DB
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MongoDB 3.0.8 is released - MongoDB Blog
Welcome to the official Mongo DB Documentation. Whether you're a developer, database administrator, or just starting your journey with Mongo DB, our documentation provides you with the information and knowledge needed to build applications on Mongo DB and the Atlas developer data platform. Mongo DB Atlas â†’ Run Mongo DB on a multi-cloud developer data platform that accelerates and simplifies working wit
macks 2009/07/14
DB
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DataMapperã«æ·±åˆ»ãªä¸å…·åˆ - Hello, world! - s21g
Merb/DataMapperã‚’ã—ã°ã‚‰ãä½¿ã£ã¦ã„ãŸã®ã§ã™ãŒã€ å°‘ãªãã¨ã‚‚ãƒãƒ¼ã‚¸ãƒ§ãƒ³0.9.10, 0.9.11ã§ã¯ã€ associationã®å®Ÿè£…ã«ãƒã‚°ãŒã‚ã‚Šã€ ãƒ¬ã‚³ãƒ¼ãƒ‰æ•°ãŒå¤šã„ãƒ†ãƒ¼ãƒ–ãƒ«ãŒã‚ã‚‹ã¨ã€aggregationç³»ã®å‡¦ç†ã«æ™‚é–“ãŒã‹ã‹ã‚‹ã¨ã„ã†å•é¡ŒãŒã‚ã‚‹äº‹ãŒåˆ†ã‹ã‚Šã¾ã—ãŸã€‚ ä¾‹ãˆã°ã€Post.has n, :comments ãªé–¢ä¿‚ãŒã‚ã‚‹æ™‚ã«ã€ ä»¥ä¸‹ã®ã‚ˆã†ãªã‚³ãƒ¼ãƒ‰ã‚’å®Ÿè¡Œã™ã‚‹ã¨ã€ã“ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ 1Â ?> Post.first.comments.count #=> 188 2Â ~ (0.000865) SELECT "id" FROM "posts" ORDER BY "id" LIMIT 1 3Â ~ (0.000094) SELECT "id", "post_id" FROM "comments" WHERE ("post_id" IN (1)) ORDER BY "id" 4Â
macks 2009/06/11
DataMaper ã§ association ã‚’æ‰±ã†éš›ã«ä½™è¨ˆãªã‚¯ã‚¨ãƒªãƒ¼ãŒç™ºè¡Œã•ã‚Œã‚‹å•é¡Œã€‚åŒã˜å•é¡Œã«ãƒãƒžã£ã¦ã—ã¾ã„ã€ã¨ã‚Šã‚ãˆãš association ã‚’ä½¿ã‚ãšã«å®Ÿè£…ã—ãŸã€‚

Ruby

DB
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Kazuho@Cybozu Labs: Pacific ã¨ã„ã†åå‰ã®åˆ†æ•£ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’ä½œã‚Šå§‹ã‚ãŸä»¶
å¤§è¦æ¨¡ãªã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ãŒãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚ã‚‹ã¨ã„ã†ç‚¹ã«ã¤ã„ã¦ã¯ã€å¤šãã®åŒæ„ãŒå¾—ã‚‰ã‚Œã‚‹ã¨ã“ã‚ã ã¨æ€ã„ã¾ã™ã€‚è§£æ±ºç–ã¨ã—ã¦ã¯ã€åŒã˜ç¨®é¡žã®ãƒ‡ãƒ¼ã‚¿ã‚’è¤‡æ•°ã® RDBMS ã«ä¿å˜ã™ã‚‹ã€Œshardingã€ (åˆ¥åï¼šã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãƒ¬ãƒ™ãƒ«ãƒ‘ãƒ¼ãƒ†ã‚£ã‚·ãƒ§ãƒ‹ãƒ³ã‚°ï¼ãƒ¬ãƒ™ãƒ«ï¼’åˆ†æ•£æ³¨1) ãŒä¸€èˆ¬çš„ã§ã™ãŒã€æœ€è¿‘ã§ã¯ã€åˆ†æ•£ã‚ãƒ¼ãƒãƒªãƒ¥ãƒ¼ã‚¹ãƒˆã‚¢ (åˆ†æ•£ KVS) ã‚’ä½¿ãŠã†ã¨ã™ã‚‹è©¦ã¿ã‚‚ã¿ã‚‰ã‚Œã‚‹ã‚ˆã†ã«ãªã£ã¦ãã¦ã„ã¾ã™ã€‚ åˆ†æ•£ KVS ãŒ RDBMS sharding ã«å¯¾ã—ã¦å„ªã‚Œã¦ã„ã‚‹è¦ç´ ã¨ã—ã¦ã¯ã€äº‹å‰ã®åˆ†å‰²è¨è¨ˆãŒä¸è¦ã§ã€å‹•çš„ãªãƒŽãƒ¼ãƒ‰è¿½åŠ ï¼ˆã¨ãã‚Œã«ã¨ã‚‚ãªã†è² è·ã®å†åˆ†æ•£ï¼‰ãŒå®¹æ˜“ã€ã¨ã„ã£ãŸç‚¹ãŒæŒ™ã’ã‚‰ã‚Œã‚‹ã¨æ€ã„ã¾ã™ã€‚ä¸€æ–¹ã§ã€Kai ã‚„ Kumofs ã®ã‚ˆã†ãªæœ€è¿‘ã®å®Ÿè£…ã§ã¯ eventually consistent ã§ã“ãç„¡ããªã£ã¦ãã¦ã„ã‚‹ã‚‚ã®ã®ã€ãƒãƒƒã‚·ãƒ¥ãƒ™ãƒ¼ã‚¹ã®åˆ†æ•£ KVS ã¯ã€ãƒ¬ãƒ³ã‚¸ã‚¯ã‚¨ãƒªãŒã§ããªã‹ã£ãŸã‚Š (ä¾‹:
macks 2009/06/10
DB
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Google Code Archive - Long-term storage for Google Code Project Hosting.
Code Archive Skip to content Google About Google Privacy Terms
macks 2009/02/28
key-value storage

DB
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DBMã«ã‚ˆã‚‹ãƒ†ãƒ¼ãƒ–ãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ - mixi engineer blog
æ£æœˆæ—©ã€…ã‚¤ãƒ³ãƒ•ãƒ«ã‚¨ãƒ³ã‚¶ã«ã‹ã‹ã£ã¦å¯è¾¼ã‚“ã mikioã§ã™ã€‚é›»è»Šã«ä¹—ã‚‹æ™‚ã‚„ç¹è¯è¡—ãªã©ã«å‡ºã‚‹æ™‚ã¯ãƒžã‚¹ã‚¯ç€ç”¨ãŒå¿…é ˆã§ã™ãã€‚ã•ã¦ä»Šå›žã¯ã€Tokyo Cabinetã§å®Ÿè£…ã—ãŸãƒ†ãƒ¼ãƒ–ãƒ«æ–¹å¼ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚æ„å¤–ã«ã©ã†ã—ã¦å¼·åŠ›ãªæ©Ÿèƒ½ãªã®ã§ã€ã“ã®ãƒã‚¿ã¯é€£è¼‰ã™ã‚‹ã“ã¨ã‚’äºˆå‘Šã—ã¾ã™ã€‚ ãƒ†ãƒ¼ãƒ–ãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã¯ ç°¡å˜ã«è¨€ãˆã°ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã®ã‚ˆã†ã«ã€è¤‡æ•°ã®åˆ—ã‹ã‚‰ãªã‚‹ãƒ¬ã‚³ãƒ¼ãƒ‰ã‚’æ ¼ç´ã§ãã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã™ã€‚SQLã‚„è¡¨çµåˆãªã©ã®è¤‡é›‘ãªæ©Ÿèƒ½ã¯ã‚µãƒãƒ¼ãƒˆã—ã¾ã›ã‚“ãŒã€ãã®ã¶ã‚“é«˜é€Ÿã«å‹•ä½œã—ã¾ã™ã€‚ã¤ã¾ã‚Šã€DBMã®é€Ÿåº¦ã§å‹•ããƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«é¢¨ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã™ï¼ˆåŽ³å¯†ã«ã¯ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã¯ã‚ã‚Šã¾ã›ã‚“ï¼‰ã€‚ TCã®åŸºæœ¬ã¨ãªã‚‹ãƒãƒƒã‚·ãƒ¥ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯ã€å˜ç´”ãªkey/valueåž‹ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã§ã‚ã‚Šã€ã¤ã¾ã‚Šã‚ãƒ¼ã«ã‚‚å€¤ã«ã‚‚ã‚¹ã‚«ãƒ©ï¼ˆæ•°å€¤ã‚„æ–‡å—åˆ—ãªã©ã®ç‰¹ã«æ§‹é€ ã‚’æŒãŸãªã„å˜ä¸€ã®å€¤ï¼‰ã—ã‹æ ¼ç´ã™ã‚‹ã“ã¨ã¯ã§ãã¾ã›ã‚“
macks 2009/02/17
DB
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DBIx-DWIW-0.50
To install DBIx::DWIW, copy and paste the appropriate command in to your terminal. cpanm cpanm DBIx::DWIW CPAN shell perl -MCPAN -e shell install DBIx::DWIW For more information on module installation, please visit the detailed CPAN module installation guide.
macks 2009/02/16
Robust and simple DBI wrapper to Do What I Want (DWIW)

Perl

DB
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DBIx-Class-Schema-Loader-0.07052
Important Information Related to Upgrading from Version 0.04006
macks 2009/02/02
DBIx::Class::Schema::Loader

Perl

DB
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DataMapper - DataMapper
Page Moved DataMapper has moved. You will be redirected shortly. If you are not redirected properly, please click here.
macks 2008/12/25
O/R Mapper

Ruby

DB
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Sequel: The Database Toolkit for Ruby
Ruby Sequel is a lightweight database toolkit for Ruby.Sequel provides thread safety, connection pooling and a concise DSL for constructing database queries and table schemas. Sequel also includes a lightweight but comprehensive ORM layer for mapping records to Ruby objects and handling associated records. Sequel supports advanced database features such as prepared statements, bound variables, mas
macks 2008/09/05
O/R Mapper

Ruby

DB
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moved
This site has been moved. Please visit the new site.
macks 2008/05/26
ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã« Tokyo Cabinet ã‚’ä½¿ã£ãŸå…¨æ–‡æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ã€‚

DB
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This site has been moved. Please visit the new site.
macks 2008/05/26
DB

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Tokyo Cabinet
Tokyo Cabinet is the successor of QDBM, a high performance database library similar to the DBM family. It also supports hash and B-tree databases and does not require any server process. The overall speed is improved compared to QDBM.
macks 2008/05/26
DBM ã®ä»£æ›¿ã‚’ç›®æŒ‡ã—ãŸDBã€‚ãƒªãƒ¢ãƒ¼ãƒˆã‚µãƒ¼ãƒ“ã‚¹(Tokyo Tyrant)ã‚’ä½¿ãˆã°åˆ†æ•£DBã¨ã—ã¦å‹•ãã€‚

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https://labs.cybozu.co.jp/blog/kazuho/archives/2008/04/filter-sql.php
macks 2008/04/16
DB

Perl
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Home | Hypertable - Big Data. Big Performance
Big Data. Big Performance. Hyperta ble delivers scala ble database capacity at maximum performanceÂ to speed up your big data application and reduce your hardware footprint. 100% Hadoop Compatible Hyperta ble seamlessly overlays on top of Hadoop to provide superchargedÂ scala ble database infastructure for your big data application. Less Hardware, Lower Cost Hyperta ble delivers maximum efficiency and su
macks 2008/02/09
DB

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Google Code Archive - Long-term storage for Google Code Project Hosting.
Code Archive Skip to content Google About Google Privacy Terms
macks 2007/07/23
Ruby

DB
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railsmyadmin - Google Code
Code Archive Skip to content Google About Google Privacy Terms
macks 2007/07/18
Rails

DB
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ã€ŒMySQLï¼ŒPostgreSQLã¨Firebirdã®æ€§èƒ½ã‚’ãƒ¦ãƒ¼ã‚¶ãƒ¼ä¼šãƒ¡ãƒ³ãƒãƒ¼ãŒå¾¹åº•æ¯”è¼ƒï¼Œåˆ¤æ˜Ž...
ã€Œæ›´æ–°ã¨JOINãŒå¤šã‘ã‚Œã°MySQLï¼Œã‚·ãƒ³ãƒ—ãƒ«ãªSELECTä¸»ä½“ãªã‚‰PostgreSQLãŒå‘ã„ã¦ã„ã‚‹ã€‚ã‚¹ãƒˆã‚¢ãƒ‰ãƒ»ãƒ—ãƒã‚·ãƒ¼ã‚¸ãƒ£ã§ã‚·ãƒ³ã‚°ãƒ«ãƒ»ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãªã‚‰Firebirdã¯éžå¸¸ã«é€Ÿã„ã€---6æœˆ23æ—¥ã«é–‹å‚¬ã•ã‚ŒãŸã€Œã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹2007.DBï¼ˆOSC2007.DBï¼‰ã€ã§ï¼Œå„ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹DBã®ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã®ãƒ¡ãƒ³ãƒãƒ¼ã«ã‚ˆã‚‹æ€§èƒ½æ¯”è¼ƒãŒæŠ«éœ²ã•ã‚Œï¼Œå¾“æ¥ã®ä¸€èˆ¬çš„ãªã‚¤ãƒ¡ãƒ¼ã‚¸ã¨ã¯ç•°ãªã‚‹â€œæ„å¤–ãªçµæžœâ€ãŒæ˜Žã‚‰ã‹ã«ã•ã‚ŒãŸã€‚ ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã¯ï¼Œã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹é–¢é€£ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ãŒä¸»å‚¬ã™ã‚‹ã‚¤ãƒ™ãƒ³ãƒˆã§ï¼ŒOSC2007.DBã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹é–¢é€£ã®ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ãŒé›†ã¾ã£ãŸã‚¤ãƒ™ãƒ³ãƒˆã§ã‚ã‚‹ã€‚æ€§èƒ½æ¯”è¼ƒã‚»ãƒƒã‚·ãƒ§ãƒ³ã‚’æ‹…å½“ã—ãŸã®ã¯ï¼Œæ—¥æœ¬MySQLãƒ¦ãƒ¼ã‚¶ä¼šã®å ¤äº•æ³°å¿—æ°ï¼Œæ—¥æœ¬PostgreSQLãƒ¦ãƒ¼ã‚¶ä¼šã®ç‰‡å²¡è£•ç”Ÿæ°ï¼ŒFirebirdæ—¥æœ¬ãƒ¦ãƒ¼ã‚¶ãƒ¼ä¼šã®æœ¨æ‘æ˜Žæ²»æ°ã€‚ã€Œã‚ãã¾ã§ãƒœãƒ©ãƒ³ãƒ†ã‚£ã‚¢ã«ã‚ˆã‚‹æ€§èƒ½æ¯”è¼ƒã§ã‚ã£ã¦ï¼Œæœ€é€Ÿï¼Œæœ€æ–°ãƒž
macks 2007/06/25
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MySQL
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