Because of this, the DB-Engines Ranking can act as an early indicator. General Electric had a three-tier 20-70-10 system (top 20. It assumes a workforce can be broken down into a number of discrete performance levels. Basically it’s company-wide survival of the fittest. Precedes a corresponding broad use of the system by a certain time factor. Stack-ranking (also called ‘rank and yank’ or the ‘vitality curve’) is a performance management system made famous by General Electric. It can be expected, that an increase of the popularity of a system as measured by the DB-Engines Ranking (e.g. The DB-Engines Ranking does not measure the number of installations of the systems, or their use within IT systems. In order to eliminate effects caused by changing quantities of the data sources themselves, the popularity score is always a relative value, which should be interpreted in comparison with other systems only. That means, when system A has twice as large a value in the DB-Engines Ranking as system B, then it is twice as popular when averaged over the individual evaluation criteria. These mathematical transformations are made in a way so that the distance of the individual systems is preserved. We calculate the popularity value of a system by standardizing and averaging of the individual parameters. We count the number of Twitter (X) tweets, in which the system is mentioned. We use the internationally most popular professional network LinkedIn. Number of profiles in professional networks, in which the system is mentioned. We use the number of offers on the leading job search engines Indeed and Simply Hired. Number of job offers, in which the system is mentioned. We use the number of related questions and the number of interested users on the well-known IT-related Q&A sites Stack Overflow and DBA Stack Exchange. "Oracle" and "database".įor this measurement, we use the frequency of searches in Google Trends.įrequency of technical discussions about the system. In order to count only relevant results, we are searching for together with the term database, e.g. Number of mentions of the system on websites, measured as number of results in search engines queries.Īt the moment, we use Google and Bing for this measurement. We measure the popularity of a system by using the following parameters: The DB-Engines Ranking is a list of database management systems ranked by their current popularity. Ranking > Method Method of calculating the scores of the DB-Engines Ranking
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