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Programming languages used in most popular websites
Programming languages used in most popular websites
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Programming languages used in most popular websites

One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.

Programming languages used in most popular websites[a]
Websites Popularity
(unique visitors per month)[1] 		Front-end
(Client-side) 		Back-end
(Server-side) 		Database
Google[2] 2,800,000,000 JavaScript, TypeScript C, C++, Go,[3] Java, Python, Node Bigtable,[4] MariaDB[5]
Facebook 1,120,000,000 JavaScript, TypeScript, Flow Hack/HHVM, PHP, Python, C++, Java, Erlang, D,[6] Haskell[7] MariaDB, MySQL,[8] HBase, Cassandra[9]
YouTube 1,100,000,000 JavaScript, TypeScript Python, C, C++, Java,[10] Go[11] Vitess, BigTable, MariaDB[5]
Yahoo 750,000,000 JavaScript PHP PostgreSQL, HBase, Cassandra, MongoDB,[12]
Etsy 516,000,000
(Total, not unique)[13] 		JavaScript PHP[14] MySQL, Redis[15]
Amazon 2,400,000,000[16] JavaScript Java, C++, Perl[17] DynamoDB, RDS/Aurora, Redshift[18]
Wikipedia 475,000,000 JavaScript PHP MariaDB[19]
Fandom 315,000,000[20] JavaScript PHP MySQL
X 290,000,000 JavaScript C++, Java,[21] Scala,[22] Ruby (Ruby on Rails) MySQL[23]
Bing 285,000,000 JavaScript C++, C# Microsoft SQL Server, Cosmos DB
eBay 285,000,000 JavaScript Java,[24] JavaScript,[25] Scala[26] Oracle Database
MSN 280,000,000 JavaScript C# (ASP.NET) Microsoft SQL Server
LinkedIn 260,000,000 JavaScript Java, JavaScript,[27] Scala Venice[28][29]
Pinterest 250,000,000 JavaScript Python (Django),[30] Erlang, Elixir[31] MySQL, Redis[32]
WordPress.com 240,000,000 [33] JavaScript PHP[34] MariaDB[35]
Netflix 223.090.000 (Subscribers, not visitors) JavaScript Python, Java[36] NMDB,[37] PostgreSQL
  1. ^ a b Data on programming languages is based on:
    • HTTP Header information
    • Request for file types
    • Citations from reliable sources
Back-end (Server-side) table in most popular websites
Websites C# C C++ D Elixir Erlang Go Hack Haskell Java JavaScript Perl PHP Python Ruby Scala
Google No Yes Yes No No No Yes No No Yes Yes No No Yes No No
Facebook No No Yes Yes No Yes No Yes Yes Yes No No Yes Yes No No
YouTube No Yes Yes No No No Yes No No Yes No No No Yes No No
Yahoo No No No No No No No No No No No No Yes No No No
Etsy No No No No No No No No No No No No Yes No No No
Amazon No No Yes No No No No No No Yes No Yes No No No No
Wikipedia No No No No No No No No No No No No Yes No No No
Fandom No No No No No No No No No No No No Yes No No No
X No No Yes No No No No No No Yes No No No No Yes Yes
Bing Yes No Yes No No No No No No No No No No No No No
eBay No No No No No No No No No Yes Yes No No No No Yes
MSN Yes No No No No No No No No No No No No No No No
LinkedIn No No No No No No No No No Yes Yes No No No No Yes
Pinterest No No No No Yes Yes No No No No No No No Yes No No
WordPress.com No No No No No No No No No No No No Yes No No No
Netflix No No No No No No No No No Yes No No No Yes No No

See also

[edit]

References

[edit]
  1. ^ "Top 15 Most Popular Websites May 2018". eBiz. Archived from the original on 26 December 2018. Retrieved 11 February 2016.
  2. ^ searchenginewatch.com - Google Hits the Billion Monthly Unique Visitors Mark Archived 25 December 2013 at the Wayback Machine
  3. ^ Rob Pike (2012). Go at Google. Presentation at the ACM conference on Systems, Programming, Languages and Applications: Software for Humanity (SPLASH).
  4. ^ "Google's Bigtable". Archived from the original on 16 June 2006.
  5. ^ a b "Google Waves Goodbye To MySQL In Favor Of MariaDB". readwrite.com. 14 September 2013. Archived from the original on 26 December 2018. Retrieved 12 December 2014.
  6. ^ "Facebook is using D in production starting today". forum.dlang.org. Archived from the original on 11 November 2021. Retrieved 25 September 2014.
  7. ^ "Fighting spam with Haskell". Facebook Engineering. Facebook. 26 June 2015. Archived from the original on 26 December 2018. Retrieved 12 October 2015.
  8. ^ "MySQL and Database Engineering". Facebook. Archived from the original on 11 January 2021. Retrieved 6 January 2014.
  9. ^ "Cassandra – A structured storage system Developed By Facebook". Facebook. Archived from the original on 24 May 2021. Retrieved 23 September 2015.
  10. ^ "YouTube Architecture - High Scalability -". 12 March 2008. Archived from the original on 26 December 2018. Retrieved 13 October 2014.
  11. ^ "Golang Vitess: a database wrapper written in Go as used by Youtube". GitHub. 28 September 2022. Archived from the original on 30 January 2018. Retrieved 17 November 2014.
  12. ^ "World's Largest Database Running on Postgres". Archived from the original on 21 October 2016. Retrieved 17 August 2014.
  13. ^ Jennewine, Trevor (1 February 2021). "Where Will Etsy Be in 5 Years?". The Motley Fool. Retrieved 24 November 2021.
  14. ^ "Improving the Deployment Experience of a Ten-Year Old Application". Code as Craft. 15 June 2021. Archived from the original on 24 November 2021. Retrieved 24 November 2021.
  15. ^ "How Etsy Prepared for Historic Volumes of Holiday Traffic in 2020". Code as Craft. 25 February 2021. Archived from the original on 24 November 2021. Retrieved 24 November 2021.
  16. ^ Coppola, Daniela (14 July 2022). "Worldwide-visits-to-Amazon.com-December-2021-to-May-2022-(in billions)". www.statista.com. Archived from the original on 13 March 2017. Retrieved 28 October 2022.
  17. ^ "Amazon Architecture". 18 September 2007. Archived from the original on 11 November 2021. Retrieved 25 September 2014.
  18. ^ "Amazon's consumer business ditches Oracle's databases". SiliconANGLE. 15 October 2019. Archived from the original on 11 November 2021. Retrieved 8 February 2020.
  19. ^ "Wikipedia Adopts MariaDB". Wikimedia Foundation. 22 April 2013. Archived from the original on 26 December 2018. Retrieved 29 April 2013.
  20. ^ "Fandom Expands Its Revenue Business with the Launch of New Self-Serve…". Fandom. Archived from the original on 24 November 2021. Retrieved 24 November 2021.
  21. ^ "Twitter and Java | go.Java | Oracle". go.java. Archived from the original on 16 September 2018. Retrieved 16 September 2018.
  22. ^ Venners, Bill. "Twitter on Scala". Archived from the original on 19 June 2009. Retrieved 6 January 2014.
  23. ^ "How Twitter Stores 250 Million Tweets A Day Using MySQL". 19 December 2011. Archived from the original on 11 November 2021. Retrieved 6 January 2014.
  24. ^ "eBay Architecture". 27 May 2008. Archived from the original on 26 December 2018. Retrieved 13 October 2014.
  25. ^ "How We Built eBay's First Node.js Application". 17 May 2013. Archived from the original on 12 November 2017. Retrieved 25 September 2014.
  26. ^ "squbs". paypal.github.io. Archived from the original on 18 October 2021. Retrieved 1 January 2017.
  27. ^ "LinkedIn Moved From Rails To Node: 27 Servers Cut And Up To 20x Faster". 4 October 2012. Archived from the original on 26 December 2018. Retrieved 25 September 2014.
  28. ^ "project-voldemort mailing list post: 2018-08-16". Retrieved 6 October 2018.
  29. ^ "Venice Performance Optimization". Archived from the original on 14 March 2020. Retrieved 11 April 2018.
  30. ^ "FAQ:General". Archived from the original on 22 October 2014. Retrieved 3 January 2015.
  31. ^ "Introducing new open-source tools for the Elixir community". Archived from the original on 19 December 2015. Retrieved 1 August 2016.
  32. ^ "How We Scaled Pinterest From Zero Users To A $2 Billion Valuation". Business Insider. Archived from the original on 26 December 2018. Retrieved 12 December 2014.
  33. ^ N, G (27 December 2022). "WordPress Traffic Statistics Lookup". www.northsgate.com. Archived from the original on 28 December 2022. Retrieved 27 December 2022.
  34. ^ "PHP Environment". WordPress.com Support. 26 February 2019. Archived from the original on 11 November 2021. Retrieved 2 November 2021.
  35. ^ "WordPress.com PHP Environment". 26 February 2019. Archived from the original on 11 November 2021. Retrieved 24 October 2020.
  36. ^ "Netflix, Inc". GitHub. Archived from the original on 1 January 2023. Retrieved 6 January 2023.
  37. ^ Blog, Netflix Technology (3 February 2019). "The Netflix Media Database (NMDB)". Medium. Retrieved 6 January 2023.
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