DB-Engines ranking

The DB-Engines Ranking ranks database management systems by popularity, covering over 340 systems. The ranking criteria[1] include number of search engine results when searching for the system names, Google Trends, Stack Overflow discussions, job offers with mentions of the systems, number of profiles in professional networks such as LinkedIn, mentions in social networks such as Twitter. The ranking is updated monthly. It has been described and cited in various database-related articles.[2][3][4][5][6][7]

By grouping over specific database features like database model or type of license, regularly published statistics reveal historical trends which are used in strategic statements.[8][9]

History

The DB-Engines DBMS portal has been created 2012 and is maintained by the Austrian consulting company Solid IT. Based on its ranking, DB-Engines grants a yearly award for the system that gained most in popularity within a year. The award winners are:

2013MongoDB
2014MongoDB
2015Oracle
2016Microsoft SQL Server
2017PostgreSQL

Criticism

The ranking might measure actual usage or number of installations of the systems, which may or may not correspond to number of users. Furthermore, quality and features of the systems have no direct impact on the ranking.

References

  1. ↑ "Ranking Methodology". DB-Engines. Retrieved 10 January 2018.
  2. ↑ "New site tracks the cracks in Oracle's empire". Wired. Dec 2013. Retrieved 10 January 2018.
  3. ↑ "Oracle remains most popular database, but MongoDB continues to rise". InfoWorld. Retrieved 10 January 2018.
  4. ↑ "Will NoSQL be the undoing of Oracle's database reign?". Tech Republic. Retrieved 10 January 2018.
  5. ↑ "Oracle Named Database of the Year, MongoDB Ranks Second". SoftPedia. Retrieved 10 January 2018.
  6. ↑ "As DBMS wars continue, PostgreSQL shows most momentum". ZDNet. Retrieved 10 January 2018.
  7. ↑ "Microsoft SQL Server surges in Solid IT's database rankings". eWeek. Retrieved 10 January 2018.
  8. ↑ "Cloud database growth may be slowing as lock-in fears loom". TechRepublic. Retrieved 10 January 2018.
  9. ↑ "The growing graph database space in 2018". Information age. 2018. Retrieved 15 January 2018.
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