Methodology details available here [0]. They measure popularity by collecting at several flavors of online mentions, then normalizing and averaging them. Specific sources include:
- Number of mentions of the system on websites, measured as number of results in search engines queries. […]
- General interest in the system [via] Google Trends.
- Frequency of technical discussions about the system [on] Stack Overflow and DBA Stack Exchange.
- Number of job offers, in which the system is mentioned [on] Indeed and Simply Hired.
- Number of profiles [mentioning] the system [on] LinkedIn.
- Relevance in social networks [by counting] Twitter (X) tweets, in which the system is mentioned.
Seems like a reasonable approach to me. They should add more social networks now that Twitter/X is hemorrhaging marketshare. Mastodon, Bluesky and Threads should be included.
Honestly I see that all over… so many sites have Twitter integrations that haven’t even been update to X yet. Gonna take a while for the broader ecosystem to shift.
- Number of mentions of the system on websites, measured as number of results in search engines queries. […]
- General interest in the system [via] Google Trends.
- Frequency of technical discussions about the system [on] Stack Overflow and DBA Stack Exchange.
- Number of job offers, in which the system is mentioned [on] Indeed and Simply Hired.
- Number of profiles [mentioning] the system [on] LinkedIn.
- Relevance in social networks [by counting] Twitter (X) tweets, in which the system is mentioned.
Seems like a reasonable approach to me. They should add more social networks now that Twitter/X is hemorrhaging marketshare. Mastodon, Bluesky and Threads should be included.
Honestly I see that all over… so many sites have Twitter integrations that haven’t even been update to X yet. Gonna take a while for the broader ecosystem to shift.
[0] https://db-engines.com/en/ranking_definition