Ka helu kaulana o nā ʻōlelo papahana a me DBMS ma 2019

Hui TIOBE paʻi ʻia kūlana o ka kaulana o nā ʻōlelo papahana no 2019. Noho nā alakaʻi iā Java, C, Python a me C++. Hoʻohālikelike ʻia i ka paʻi o ka helu i paʻi ʻia i hoʻokahi makahiki i hala, nā helu o C # (mai 7 a 5), ​​Swift (mai 15 a 9), Ruby (mai 18 a 11), E hele (mai 16 a 14) a me D (mai 25 a 17). 6 a hiki i 7) ua hoʻonui. 5). ʻIke ʻia ka emi ʻana o ka kaulana no JavaScript (mai 6 a 10), Visual Basic (mai 13 a 14), Object-C (mai 15 a 12), Assembly (mai 18 a 13), R (mai 19 a 20) a Perl (mai XNUMX a XNUMX). Ma nā ʻōlelo paʻa, ma waena o nā alakaʻi he XNUMX, ʻike ʻia ka piʻi ʻana o ke kiʻekiʻe o ka kaulana no C, Python, C# a me Swift.

ʻAʻole hoʻāʻo ka papa kuhikuhi kaulana ʻo TIOBE e ʻimi i ka ʻōlelo hoʻolālā maikaʻi loa e pili ana i ka helu nui o nā laina code i kākau ʻia, akā kūkulu i kāna mau manaʻo e pili ana i nā loli o ka hoihoi i nā ʻōlelo e pili ana i ka nānā ʻana i nā helu hulina hulina i nā ʻōnaehana e like me Google, Google Blogs, Yahoo!, Wikipedia, MSN, YouTube, Bing, Amazon a me Baidu.

No ka hoʻohālikelike ʻana, i ka hoʻonui hou ʻana o Ianuali PYPL, e hoʻohana ana iā Google Trends, i hoʻohālikelike ʻia me Ianuali 2019, aia kahi neʻe ʻana o Kotlin mai 15 a 12 kūlana (ma ka pae TIOBE, noho ka ʻōlelo Kotlin i 35 wahi), ka ʻōlelo Go mai 17 a 15 wahi (ma TIOBE 14 wahi) , Rust mai 21 a 18 wahi (30th wahi ma TIOBE), Dart mai 28 a 22nd wahi (22nd wahi ma TIOBE). Ua emi ka kaulana o Ruby (mai 12 a 14), Scala (mai 14 a 16), Perl (mai 18 a 19), a me Lua (mai 22 a 25). ʻO Python, Java, JavaScript, C#, PHP a me C/C++ ke alakaʻi mau nei i ka pae.

Eia hou, hōʻano hou DBMS helu kaulana, e holo ana i ka hoolaha DB-Engines. Wahi a ke ʻano helu helu, ua like ka helu DBMS me ka helu o nā ʻōlelo papahana TIOBE a noʻonoʻo i ka kaulana o nā nīnau i nā ʻenekini huli, ka helu o nā hopena i nā hopena hulina, ka nui o nā kūkākūkā ma nā kahua kūkākūkā kaulana a me nā ʻoihana pūnaewele, ka helu o nā hakahaka i nā keʻena hoʻolimalima a me nā ʻōlelo i loko o nā moʻolelo hoʻohana.

ʻIke ʻia ka piʻi ʻana o ka kaulana i ka makahiki no ka Elasticsearch DBMS (mai ka 8 a i ka 7th wahi). Ke hāʻule nei ka kaulana o Redis (mai ka 7 a i ka 8th wahi). Noho mau nā alakaʻi iā Oracle, MySQL, Microsoft SQL Server, PostgreSQL a me MongoDB.

Source: opennet.ru