Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

Ranking > Method

Method of calculating the scores of the DB-Engines Ranking

The DB-Engines Ranking is a list of database management systems ranked by their current popularity. We measure the popularity of a system by using the following parameters:

  • Number of mentions of the system on websites, measured as number of results in search engines queries. At the moment, we use Google and Bing for this measurement. In order to count only relevant results, we are searching for <system name> together with the term database, e.g. "Oracle" and "database".

  • General interest in the system. For this measurement, we use the frequency of searches in Google Trends.

  • Frequency of technical discussions about the system. 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.

  • Number of job offers, in which the system is mentioned. We use the number of offers on the leading job search engines Indeed and Simply Hired.

  • Number of profiles in professional networks, in which the system is mentioned. We use the internationally most popular professional network LinkedIn.

  • Relevance in social networks. We count the number of Twitter tweets, in which the system is mentioned.

We calculate the popularity value of a system by standardizing and averaging of the individual parameters. These mathematical transformations are made in a way ​​so that the distance of the individual systems is preserved. 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.

The DB-Engines Ranking does not measure the number of installations of the systems, or their use within IT systems. It can be expected, that an increase of the popularity of a system as measured by the DB-Engines Ranking (e.g. in discussions or job offers) precedes a corresponding broad use of the system by a certain time factor. Because of this, the DB-Engines Ranking can act as an early indicator.

We spent a considerable amount of effort to optimize our method of measuring popularity. We are able to combine data sources with very different statistical properties in a way that makes all significant trends visible in a well-balanced overall score. We can handle missing and erroneous data, we can deal with spikes and fluctuations. Data collection is done automatically to a large extend.

Very notable organizations have licensed our ranking technology to apply it in their own domain, and so can you. Contact us if you want to know more about options to use our well-tried and proven methods for your own business.

Featured Products

Discover the top 10 reasons for choosing Neo4j for your next graph database project. Read them all here.

Datastax delivers Apache Cassandra as part of a database platform purpose built for IOT, Web and Mobile Apps. Download now.

An in-memory computing platform for fast data processing in real time with high availability and scalability. Free XAP Download Here.

From startups to enterprises, MongoDB is the database
for giant ideas.
Learn more about MongoDB in our architecture guide.

Present your product here