A survey of 90,000 developers shows that PostgreSQL is ahead of MySQL as the choice of database engine, a notable change from the same survey last year
had MySQL at 55.6 percent and PostgreSQL at 36.1 percent, showing how quickly usage in this group has grown. Microsoft’s SQL Server, the highest ranking fully commercial database engine, is used by 25.45 percent, down from 33 percent in 2020.Since this is a developer survey, it does not reflect usage in production. DB-Engines maintains abased on general interest across the web which puts Oracle top, followed by MySQL, SQL Server, and PostgreSQL fourth.
According to the new survey, JavaScript remains the top programming language though fractionally down from last year – 63.61 percent of developer use is, versus 65.36 percent in 2022. Second-placed Python is fractionally up, to 49.28 percent, and third-placed TypeScript up, from 34.83 percent to 38.87 percent. Rust is well down the list, but has grown from 9.32 percent to 13.05 percent over the year – and Zig makes the list for the first time, at 0.
In Cloud Platforms the survey covers a broader range than before. AWS, Azure and Google remain the top three, but new to the list are Cloudflare , Vercel , and Netlify . All three are examples of edge computing which is aSome sections of the survey are hard to make sense of because they do not list like with like. Node package manager is not an alternative to Docker, for example, but both are listed under “other tools.
“Microsoft Teams and Zoom have the lowest proportion of users that want to continue using given first-hand experience out the top five solutions users want to use next year,” states the Admired and Desired section of the survey, which aims to measure which tools devs actually like using.calamitous impact on its community
. According to the survey, “70 percent of all respondents are using or are planning to use AI tools in their development process this year,” the top driver being to increase productivity. However the devs are not all that trustful of the output from AI tools, with only 2.85 percent ticking “highly trust” and 39.3 percent “somewhat trust.” The rest are even more sceptical. It seems AI coding help is in the curious position of being widely regarded as beneficial but not reliable.
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