{"id":121223,"date":"2025-01-04T15:46:16","date_gmt":"2025-01-04T13:46:18","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/opublikovan-rejting-populyarnosti-subd"},"modified":"2025-01-04T15:46:16","modified_gmt":"2025-01-04T13:46:18","slug":"opublikovan-rejting-populyarnosti-subd","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/opublikovan-rejting-populyarnosti-subd","title":{"rendered":"Megjelent az adatb\u00e1zis-kezel\u0151k n\u00e9pszer\u0171s\u00e9gi rangsora.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A DB-Engines kiadta a DBMS n\u00e9pszer\u0171s\u00e9gi rangsor\u00e1nak friss\u00edt\u00e9s\u00e9t, amely 423 rendszer n\u00e9pszer\u0171s\u00e9g\u00e9t k\u00f6veti nyomon. A DBMS rangsor sz\u00e1m\u00edt\u00e1si m\u00f3dszere hasonl\u00edt a TIOBE programoz\u00e1si nyelvek rangsor\u00e1hoz, \u00e9s figyelembe veszi a keres\u0151motorok keres\u00e9si n\u00e9pszer\u0171s\u00e9g\u00e9t, a keres\u00e9si tal\u00e1latok sz\u00e1m\u00e1t, a n\u00e9pszer\u0171 vitaf\u00f3rumokon \u00e9s k\u00f6z\u00f6ss\u00e9gi m\u00e9di\u00e1ban folytatott megbesz\u00e9l\u00e9sek mennyis\u00e9g\u00e9t, a munka\u00fcgyn\u00f6ks\u00e9gek hirdetett \u00e1ll\u00e1shelyeit \u00e9s a felhaszn\u00e1l\u00f3i profilokban val\u00f3 eml\u00edt\u00e9sek sz\u00e1m\u00e1t. <\/p>\n

A legnagyobb n\u00e9pszer\u0171s\u00e9gn\u00f6veked\u00e9st az Snowflake felh\u0151alap\u00fa DBMS (+27,98) \u00e9rte el, amely egy \u00e9v alatt 9. helyr\u0151l a 6. helyre emelkedett. Jelent\u0151s n\u00e9pszer\u0171s\u00e9gn\u00f6veked\u00e9st k\u00f6nyvelhet el a PostgreSQL (+14,45) \u00e9s az Oracle (+11,27) is. A legnagyobb \u00e9rdekl\u0151d\u00e9scs\u00f6kken\u00e9st a MySQL (-125,31), a Microsoft SQL Server (-78,05), a Microsoft Access (-24,97), a MongoDB (-14,98), a MariaDB (-13,65) \u00e9s az Apache Cassandra (-11,84) mutatta. <\/p>\n

Ami azt illeti, az adatb\u00e1zisok rangsorol\u00e1s\u00e1ban az els\u0151 \u00f6t helyet tov\u00e1bbra is az Oracle, MySQL, Microsoft SQL Server, PostgreSQL \u00e9s MongoDB foglalja el. 2024 janu\u00e1rj\u00e1hoz k\u00e9pest a k\u00f6vetkez\u0151 adatb\u00e1zisok jav\u00edtott\u00e1k a helyez\u00e9s\u00fcket: Snowflake (9 → 6), SQLite (11 → 10), Apache Cassandra (12 → 11), Databricks (17 → 13), Neo4j (22 → 20), ClickHouse (37 → 30), Apache Spark (36 → 31), OpenSearch (42 → 33). <\/p>\n

Az al\u00e1bbi t\u00e1rol\u00f3k helyez\u00e9st cs\u00f6kkentettek: Redis (6 → 7), Elasticsearch (7 → 8), IBM Db2 (8 → 9), Microsoft Access (10 → 12), Firebird (29 → 32), Couchbase (33 → 35), Prometheus (50 → 52).

\"Megjelent<\/center>
\"Megjelent<\/center>
\n
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 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u0438 \u0421\u0423\u0411\u0414, \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u044c 423 \u0441\u0438\u0441\u0442\u0435\u043c. \u041c\u0435\u0442\u043e\u0434\u0438\u043a\u0430 \u0440\u0430\u0441\u0447\u0451\u0442\u0430 \u0440\u0435\u0439\u0442\u0438\u043d\u0433\u0430 \u0421\u0423\u0411\u0414 \u043d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u044f\u0437\u044b\u043a\u043e\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f TIOBE \u0438 \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u044c 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