{"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\/pl\/blog\/news\/opublikovan-rejting-populyarnosti-subd","title":{"rendered":"Opublikowano ranking popularno\u015bci DBMS","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Wydanie DB-Engines zaktualizowa\u0142o ranking popularno\u015bci system\u00f3w DBMS, \u015bledz\u0105c popularno\u015b\u0107 423 system\u00f3w. Metodyka obliczania rankingu DBMS przypomina ranking j\u0119zyk\u00f3w programowania TIOBE i uwzgl\u0119dnia popularno\u015b\u0107 zapyta\u0144 w wyszukiwarkach, liczb\u0119 wynik\u00f3w w wynikach wyszukiwania, obj\u0119to\u015b\u0107 dyskusji na popularnych platformach dyskusyjnych i w mediach spo\u0142eczno\u015bciowych, liczb\u0119 ofert pracy w agencjach rekrutacyjnych oraz wzmianki w profilach u\u017cytkownik\u00f3w. <\/p>\n

Najwi\u0119kszy wzrost popularno\u015bci odnotowano dla chmurowego DBMS Snowflake (+27,98), kt\u00f3ry w ci\u0105gu roku awansowa\u0142 z 9 na 6 miejsce. Znacz\u0105cy wzrost popularno\u015bci zaobserwowano tak\u017ce dla DBMS PostgreSQL (+14,45) i Oracle (+11,27). Najbardziej zauwa\u017calny spadek zainteresowania stwierdzono w przypadku MySQL (-125,31), Microsoft SQL Server (-78,05), Microsoft Access (-24,97), MongoDB (-14,98), MariaDB (-13,65) i Apache Cassandra (-11,84). <\/p>\n

Je\u015bli chodzi o rozk\u0142ad system\u00f3w zarz\u0105dzania bazami danych w rankingu, pierwsze pi\u0119\u0107 miejsc zajmuj\u0105 Oracle, MySQL, Microsoft SQL Server, PostgreSQL i MongoDB. W por\u00f3wnaniu do stycznia 2024 roku swoje pozycje w rankingu poprawi\u0142y 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

Pozycje obni\u017cy\u0142y si\u0119 dla Redis (6 → 7), Elasticsearch (7 → 8), IBM Db2 (8 → 9), Microsoft Access (10 → 12), Firebird (29 → 32), Couchbase (33 → 35), Prometheus (50 → 52).

\"Opublikowano<\/center>
\"Opublikowano<\/center>
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\u0179r\u00f3d\u0142o: 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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