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I am the founder and CEO of Data Geekery GmbH, located in Zurich, Switzerland. With our company, we have been selling database products and services around Java and SQL since 2013. Ever since my Master's studies at EPFL in 2006, I have been fascinated by the interaction of Java and SQL. Most of this experience I have obtained in the Swiss E-Banking field through various variants (JDBC, Hibernate, mostly with Oracle). I am happy to share this knowledge at various conferences, JUGs, in-house presentations and on our blog. Lukas is a DZone MVB and is not an employee of DZone and has posted 255 posts at DZone. You can read more from them at their website. View Full User Profile

The 10 Most Popular DB Engines (SQL and NoSQL)

11.11.2013
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How to objectively measure the popularity of a DB engine? Good question! And there’s an Austrian company (Solid IT) who claims to have the answer. The company focuses on “Big Data und NoSQL”, but this focus does not seem to have biased the result of the measurement. Among the top 10 database engines, there is only MongoDB, which is not an RDBMS. And it’s astonishing just how popular MongoDB seems to be (although, they must be doing something right)!

Reproduced with permission of DB-Engines.com

Reproduced with permission of DB-Engines.com

Now, I’m not surprised by the top 3. I am definitely surprised by the fact that PostgreSQL and SQLite are not more popular. I am also surprised, that there aren’t more “wide-column stores” among the top 10. Maybe Michael Stonebraker has to review his claims about the traditional RDBMS wisdom being all wrong?

And what about the other databases supported by jOOQ? Where are the Java databases? Here’s a condensed view of the ranking, consisting only of the 15 databases currently supported by jOOQ 3.1:

dbms-ranking-jooq

Reproduced with permission of DB-Engines.com

It turns out that Java databases (Derby, H2, HyperSQL) are not so popular compared to all the others. It also turns out that MariaDB still has a lot of grounds to gain, compared to MySQL.

The ranking considers a lot of data from various somewhat authoritative sources as is explained here. These include:

  • Number of mentions of the system on websites. Measured through search engine results.
  • General interest in the system. Measured through Google Trends.
  • Frequency of technical discussions about the system. Measured through Stack Overflow and similar.
  • Number of job offers, in which the system is mentioned. Measured through Indeed and similar.
  • Number of profiles in professional networks, in which the system is mentioned. Measured through LinkedIn.

This ranking is certainly something to keep an eye on!

Published at DZone with permission of Lukas Eder, author and DZone MVB. (source)

(Note: Opinions expressed in this article and its replies are the opinions of their respective authors and not those of DZone, Inc.)