FoundationDB | Home
FoundationDB gives you the power of ACID transactions in a distributed database.Get StartedDownload FoundationDBMulti-model data store. FoundationDB is multi-model, meaning you can store many types of data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component.Easily scalable and fault tolerant. FoundationDB is easy to install, grow, and manag
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¤‰...
ArangoDB - highly available multi-model NoSQL database
One Core. One Query Language. Multiple Data Models.
ãã®é¸æŠžã€ã¡ã‚‡ã£ã¨å¾…ã£ãŸï¼NoSQLデータベースã¸ä¹—ã‚Šæ›ãˆã‚‹å‰ã«æ¤œè¨Žã™ã¹ã3ã¤ã®ãƒã‚¤ãƒ³ãƒˆ
最近ã€ã©ã†ã‚‚安易ã«ã€ŒNoSQLã«ã™ã‚Œã°åŽ„介ãªDBè¨è¨ˆã‹ã‚‰é–‹æ”¾ã•ã‚Œã‚‹ã€ã¨è€ƒãˆã¦ã„る人ãŒå¤šã„よã†ã«æ€ãˆã¦ä»•æ–¹ãŒãªã„。ã ãŒå¾…ã£ã¦æ¬²ã—ã„。本当ã«NoSQLã¨å‘¼ã°ã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’使ãˆã°ã‚¢ãƒ—リケーションã®é–‹ç™ºãƒ»é‹ç”¨ã®è‹¦ã—ã¿ã‹ã‚‰é€ƒã‚Œã‚‰ã‚Œã‚‹ã®ã ã‚ã†ã‹ã€‚ã‚‚ã¡ã‚ん「ãã‚“ãªã“ã¨ã¯ç„¡ã„ï¼ï¼çµ¶å¯¾ã«ã ï¼ï¼ã€ã¨ç§ã¯è€ƒãˆã‚‹ã€‚今日ã¯ãã®ç†ç”±ã«ã¤ã„ã¦èªžã‚ã†ã¨æ€ã†ã€‚ トランザクション先日ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ãŠã‘ã‚‹DBè¨è¨ˆã«ã¤ã„ã¦ã‚»ãƒŸãƒŠãƒ¼ã§è§£èª¬ã—ãŸã°ã‹ã‚Šã ãŒã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ãŠã‘るデータã®æ•´åˆæ€§ã¯ä½•ã‚‚DBè¨è¨ˆã ã‘ãŒæ‹…ä¿ã—ã¦ã„ã‚‹ã‚ã‘ã§ã¯ãªã„。リレーショナルモデルã¨åŒã˜ã‹ãれ以上ã«æ¬ ã‹ã›ãªã„ã®ãŒãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã 。 トランザクションãŒã‚ã‚‹ãŠã‹ã’ã§ã€ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³çµ‚了後ã®ã‚¹ãƒ†ãƒ¼ã‚¿ã‚¹ã¯ã€ŒæˆåŠŸã€ã‹ã€Œå¤±æ•—ã€ã®2ã¤ã—ã‹ãªã„ã¨ã„ã†ã“ã¨ãŒä¿è¨¼ã•ã‚Œã‚‹ã€‚ã™ãªã‚ã¡ã‚ªãƒ¼ãƒ«ãƒ»ã‚ªã‚¢ãƒ»ãƒŠãƒƒã‚·ãƒ³ã‚°ã 。もã—トランザクションã®é€”ä¸ã§ä½•ã‚‰ã‹ã®
書評：「7ã¤ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ 7ã¤ã®ä¸–ç•Œã€
訳者ã€è§’ å¾å…¸æ°ã‚ˆã‚ŠçŒ®æœ¬å¾¡ç¤¼ã€‚「7ã¤ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ 7ã¤ã®ä¸–ç•Œã€ã¯ãã®ã‚¿ã‚¤ãƒˆãƒ«ã®é€šã‚Šã€7種類ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã«ã¤ã„ã¦è§£èª¬ã—ãŸNoSQLã®é“標ã¨ã‚‚言ã†ã¹ã書ç±ã§ã‚る。7種類ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã—ã¦ç´¹ä»‹ã•ã‚Œã¦ã„ã‚‹ã®ã¯ã€PostgreSQLã€Riakã€HBaseã€MongoDBã€CouchDBã€Neo4jã€Redisã§ã‚る。本書ã¯éžå¸¸ã«ããるタイトルã§ã‚ã‚Šã€ã‚ãã‚ãã—ãªãŒã‚‰ãƒšãƒ¼ã‚¸ã‚’ã‚ãã£ãŸã€‚ã ãŒã€ç¬¬2ç« ã€ŒPostgreSQLã€ã§æœŸå¾…æ„Ÿã¯æ‰“ã¡ç •ã‹ã‚Œã‚‹ã“ã¨ã«ãªã‚‹ã€‚ æ£ç›´ãªã¨ã“ã‚ã€ã“ã®æ›¸ç±ã«ã¤ã„ã¦æ›¸è©•ã‚’書ãã®ã¯ã©ã†ã—よã†ã‹è¿·ã£ã¦ã—ã¾ã£ãŸã€‚ãªãœãªã‚‰ã°ã€ç¬¬2ç« ã®èª¬æ˜ŽãŒã‹ãªã‚Šé–“é•ã£ã¦ã„ã‚‹ã‹ã‚‰ã§ã‚る。ãã®ãŸã‚ã€æ›¸è©•ã‚’書ã“ã†ã¨ã™ã‚‹ã¨ã©ã†ã—ã¦ã‚‚è¾›å£ã«ãªã‚‰ã–ã‚‹ã‚’å¾—ãªã‹ã£ãŸã€‚献本ã—ã¦é ‚ã„ãŸè§’æ°ã«ãã®æ—¨ã‚’ä¼ãˆãŸã¨ã“ã‚ã€ãã‚Œã§ã‚‚良ã„ã¨å¿«ã了承ã—ã¦é ‚ã„ãŸã€‚本当ã«è¾›å£ã«ãªã‚‹ã®ã§ãã®ç‚¹ã¯å®¹èµ¦ã—ã¦é ‚ããŸã„。 何ãŒå•é¡Œãªã®ã‹
2012 in review: Performance | Datastax
Four years ago, well before starting DataStax, I evaluated the then-current crop of distributed databases and explained why I chose Cassandra. In a lot of ways, Cassandra was the least mature of the options, but I chose to take a long view and wanted to work on a project that got the fundamentals right; things like documentation and distributed tests could come later. 2012 saw that validated in a
Apache Goraâ„¢ - Welcome to Apache Goraâ„¢
The Apache Goraâ„¢ open source framework provides an in-memory data model and persistence for big data. Gora supports persisting to column stores, key value stores, document stores, distributed in-memory key/value stores, in-memory data grids, in-memory caches, distributed multi-model stores, and hybrid in-memory architectures. Gora also enables analysis of data with extensive Apache Hadoop MapReduc
NoSQL Benchmarking | CUBRID Official Blog
NoSQL is the talk of the town. And we have already covered what it is for in one of our previous blogs. Today I would like to share the NoSQL benchmark test results we have recently conducted. It will help you to understand if the soon to develop system is compatible to NoSQL, and which NoSQL product to select. In this article we will reveal the characteristics of Cassandra, HBase and MongoDB iden
Document Databases Compared: CouchDB, MongoDB, RavenDB
Brian Ritchie has two posts (☞ here and ☞ here) covering three document databases: CouchDB, MongoDB, and RavenDB concluding with the matrix below: But before using this as a reference material there are a couple of corrections needed: They have some special characteristics that make them kick some serious SQL. Objects can be stored as documents: The relational database impedance mismatch is gone.
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
pauloortins.com
{{#tags}}- {{label}}
{{/tags}}