Rank	Last Month	DBMS	Database Model	Score	Changes
1.		1.	Oracle	Relational DBMS	1514.08	+22.28
2.		2.	MySQL	Relational DBMS	1292.67	+2.45
3.		3.	Microsoft SQL Server	Relational DBMS	1210.43	+5.15
4.		4.	PostgreSQL	Relational DBMS	230.23	-4.82
5.		5.	MongoDB	Document store	214.34	+14.35
6.		6.	DB2	Relational DBMS	184.58	-2.74
7.		7.	Microsoft Access	Relational DBMS	142.76	-3.72
8.		8.	SQLite	Relational DBMS	90.17	-2.80
9.		10.	Cassandra	Wide column store	78.72	+0.63
10.		9.	Sybase ASE	Relational DBMS	78.14	-3.42

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> database", e.g. "Oracle 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.