{"id":112701,"date":"2024-01-04T15:10:27","date_gmt":"2024-01-04T13:10:29","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/rejting-populyarnosti-subd-postgresql-nazvan-subd-2023-goda"},"modified":"2024-01-04T15:10:27","modified_gmt":"2024-01-04T13:10:29","slug":"rejting-populyarnosti-subd-postgresql-nazvan-subd-2023-goda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/rejting-populyarnosti-subd-postgresql-nazvan-subd-2023-goda","title":{"rendered":"A Maestro kernel Rust nyelven \u00edr\u00f3dott, \u00e9s r\u00e9szben kompatibilis a Linux-szal.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A DB-Engines friss\u00edtette adatb\u00e1zis-kezel\u0151 rendszerek n\u00e9pszer\u0171s\u00e9gi rangsor\u00e1t, \u00e9s a 2023-as \u00e9v adatb\u00e1zis-kezel\u0151 rendszer\u00e9nek c\u00edmet a PostgreSQL projektnek \u00edt\u00e9lte, amely az \u00e9v sor\u00e1n a legnagyobb n\u00e9pszer\u0171s\u00e9gi n\u00f6veked\u00e9st mutatta az \u00e1ltala k\u00f6vetett 417 rendszer k\u00f6z\u00fcl. A m\u00e1sodik helyet a Databricks felh\u0151platform kapta, amely az \u00e9vet a 19. helyr\u0151l a 17. helyre l\u00e9pett el\u0151re a rangsorban, m\u00edg a harmadik helyet a Google BigQuery motor szerezte meg, amely a 21. helyr\u0151l a 19. helyre emelkedett a rangsorban. <\/p>\n

A PostgreSQL-t m\u00e1r kor\u00e1bban 2020-ban, 2018-ban \u00e9s 2017-ben az \u00c9v DBMS-\u00e9nek ismert\u00e9k el. 2022-ben \u00e9s 2021-ben ezt a c\u00edmet a Snowflake DBMS kapta, 2019-ben a MySQL, 2016-ban a Microsoft SQL Server, 2015-ben az Oracle, m\u00edg 2013-ban \u00e9s 2014-ben a MongoDB. <\/p>\n

A rangsor sz\u00e1m\u00edt\u00e1si m\u00f3dszere hasonl\u00edt a TIOBE programoz\u00e1si nyelvek rangsor\u00e1hoz, \u00e9s figyelembe veszi a keres\u0151motorokban t\u00f6rt\u00e9n\u0151 keres\u00e9sek n\u00e9pszer\u0171s\u00e9g\u00e9t, a keres\u00e9si tal\u00e1latok sz\u00e1m\u00e1t, a n\u00e9pszer\u0171 f\u00f3rumokon \u00e9s k\u00f6z\u00f6ss\u00e9gi m\u00e9dia platformokon folytatott besz\u00e9lget\u00e9sek mennyis\u00e9g\u00e9t, a munkaer\u0151-k\u00f6zvet\u00edt\u0151 \u00fcgyn\u00f6ks\u00e9gek \u00e1ltal hirdetett \u00e1ll\u00e1sok sz\u00e1m\u00e1t \u00e9s a felhaszn\u00e1l\u00f3i profilokban t\u00f6rt\u00e9n\u0151 eml\u00edt\u00e9seket. <\/p>\n

A DBMS-ek rangsorol\u00e1s\u00e1nak eloszl\u00e1s\u00e1val kapcsolatban a PostgreSQL tov\u00e1bbra is a 4. helyen \u00e1ll, annak ellen\u00e9re, hogy a legnagyobb n\u00e9pszer\u0171s\u00e9gn\u00f6veked\u00e9st mutatta be az eg\u00e9sz list\u00e1n \u2014 34,11 pontot. A n\u00e9pszer\u0171s\u00e9gn\u00f6veked\u00e9st a Databricks projekt is mutatja (+19,7 pont, felugr\u00e1s a 19. helyr\u0151l a 17. helyre), a Google BigQuery (+9 pont, 21. helyr\u0151l a 19. helyre) \u00e9s a Snowflake (+8,66 pont, 11. helyr\u0151l a 9. helyre). Az Elasticsearch t\u00e1rol\u00f3 a 8. helyr\u0151l a 7. helyre l\u00e9pett el\u0151re, a Firebird DBMS a 33. helyr\u0151l a 29. helyre, a ClickHouse a 44. helyr\u0151l a 37. helyre, a Prometheus a 62. helyr\u0151l az 50. helyre, az OpenSearch a 48. helyr\u0151l a 42. helyre, a TimescaleDB pedig a 85. helyr\u0151l a 76. helyre ker\u00fclt. <\/p>\n

Jelent\u0151s n\u00e9pszer\u0171s\u00e9gcs\u00f6kken\u00e9s figyelhet\u0151 meg az elm\u00falt \u00e9vben a MySQL (-88,5 pont), a Microsoft SQL Server (-42,79), a MongoDB (-37,70), a Redis (-18,17) \u00e9s a SQLite (-16,29) eset\u00e9ben. Az IBM Db2 DBMS a 7. helyr\u0151l a 8. helyre esett vissza, a SQLite a 10. helyr\u0151l a 11. helyre, a CouchDB a 43. helyr\u0151l a 45. helyre, a CockroachDB pedig az 57. helyr\u0151l a 60. helyre ker\u00fclt.

\"A<\/center>
\"A<\/center>
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Forr\u00e1s: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0418\u0437\u0434\u0430\u043d\u0438\u0435 DB-Engines \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u043e \u0441\u0432\u043e\u0439 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u0438 \u0421\u0423\u0411\u0414 \u0438 \u043f\u0440\u0438\u0441\u0443\u0434\u0438\u043b\u043e \u0437\u0432\u0430\u043d\u0438\u0435 \u0421\u0423\u0411\u0414 2023 \u0433\u043e\u0434\u0430 \u043f\u0440\u043e\u0435\u043a\u0442\u0443 PostgreSQL, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0437\u0430 \u0433\u043e\u0434 \u043f\u0440\u043e\u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043b \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u0440\u043e\u0441\u0442 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u0438 \u0438\u0437 417 \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c. \u0412\u0442\u043e\u0440\u043e\u0435 \u043c\u0435\u0441\u0442\u043e \u043f\u0440\u0438\u0441\u0443\u0436\u0434\u0435\u043d\u043e \u043e\u0431\u043b\u0430\u0447\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 Databricks, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u0437\u0430 \u0433\u043e\u0434 \u043f\u043e\u0434\u043d\u044f\u043b\u0430\u0441\u044c \u0441 19 \u043d\u0430 17 \u043c\u0435\u0441\u0442\u043e \u0432 \u0440\u0435\u0439\u0442\u0438\u0433\u0435, \u0430 \u0442\u0440\u0435\u0442\u044c\u0435 \u043c\u0435\u0441\u0442\u043e \u0437\u0430\u043d\u044f\u043b \u0434\u0432\u0438\u0436\u043e\u043a Google BigQuery, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0434\u043d\u044f\u043b\u0441\u044f \u0441 21 \u043d\u0430 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":112702,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-112701","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Az adatb\u00e1zis-kezel\u0151 rendszerek n\u00e9pszer\u0171s\u00e9gi rangsora. 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