{"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\/en\/blog\/news\/opublikovan-rejting-populyarnosti-subd","title":{"rendered":"The popularity ranking of DBMS has been published.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>The DB-Engines publication has updated the popularity ranking of database management systems, tracking the popularity of 423 systems. The methodology for calculating the ranking is similar to the TIOBE programming language ranking and considers the popularity of queries in search engines, the number of results in search outputs, the volume of discussions on popular forums and social media, the number of job vacancies in recruitment agencies, and mentions in user profiles.    <\/p>\n<p>The largest increase in popularity was recorded for the cloud database Snowflake (+27.98), which rose from 9th to 6th place in a year. A significant rise in popularity was also noted for PostgreSQL (+14.45) and Oracle (+11.27). The most notable decrease in interest was observed in MySQL (-125.31), Microsoft SQL Server (-78.05), Microsoft Access (-24.97), MongoDB (-14.98), MariaDB (-13.65), and Apache Cassandra (-11.84).      <\/p>\n<p>In terms of database distribution in the ranking, the top five positions continue to be held by Oracle, MySQL, Microsoft SQL Server, PostgreSQL, and MongoDB. Compared to January 2024, the following databases have improved their rankings: Snowflake (9 \u2192 6), SQLite (11 \u2192 10), Apache Cassandra (12 \u2192 11), Databricks (17 \u2192 13), Neo4j (22 \u2192 20), ClickHouse (37 \u2192 30), Apache Spark (36 \u2192 31), and OpenSearch (42 \u2192 33).    <\/p>\n<p>The following databases have dropped in their rankings: Redis (6 \u2192 7), Elasticsearch (7 \u2192 8), IBM Db2 (8 \u2192 9), Microsoft Access (10 \u2192 12), Firebird (29 \u2192 32), Couchbase (33 \u2192 35), and Prometheus (50 \u2192 52).        <center><img decoding=\"async\" alt=\"The popularity ranking of DBMS has been published.\" src=\"\/wp-content\/uploads\/2025\/01\/9adca1fe27fbe904fae34521da8a0977.png\" style=\"display:block;margin: 0 auto;\" \/><\/center>        <center><img decoding=\"async\" alt=\"The popularity ranking of DBMS has been published.\" src=\"\/wp-content\/uploads\/2025\/01\/fa97879225850f7e81bf06e89cfdee39.png\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Source: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=62511\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\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 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0432 \u043f\u043e\u0438\u0441\u043a\u043e\u0432\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445, \u0447\u0438\u0441\u043b\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 \u0432 \u043f\u043e\u0438\u0441\u043a\u043e\u0432\u043e\u0439 \u0432\u044b\u0434\u0430\u0447\u0435, \u043e\u0431\u044a\u0451\u043c \u043e\u0431\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u0439 \u043d\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0434\u0438\u0441\u043a\u0443\u0441\u0441\u0438\u043e\u043d\u043d\u044b\u0445 \u043f\u043b\u043e\u0449\u0430\u0434\u043a\u0430\u0445 \u0438 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u044f\u0445, \u0447\u0438\u0441\u043b\u043e \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439 \u0432 \u0430\u0433\u0435\u043d\u0442\u0441\u0442\u0432\u0430\u0445 \u043f\u043e \u043d\u0430\u0439\u043c\u0443 \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b\u0430 \u0438 \u0443\u043f\u043e\u043c\u0438\u043d\u0430\u043d\u0438\u0439 \u0432 \u043f\u0440\u043e\u0444\u0438\u043b\u044f\u0445 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439. \u041d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0438\u0439 \u043f\u0440\u0438\u0440\u043e\u0441\u0442 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0441\u0442\u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":121224,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-121223","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\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.\" \/>\n\t<meta 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