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The methodology and general concept of this is a bit silly IMO, but that being said I've never regretted going with postgres whenever I choose it.
by nttdocomo 2y ago
The methodology and general concept of this is a bit silly IMO, but that being said I've never regretted going with postgres whenever I choose it.
- pbronez 2y agoMethodology 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. [0] https://db-engines.com/en/ranking_definition https://db-engines.com/en/ranking_definition
- shin_lao 2y agoDB Engine rankings are not very reliable and are constantly gamed, they shouldn't be used for anything serious.