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

The latest news

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

The most popular database management systems

September 2017Score
1.Oracle1359
2.MySQL1313
3.Microsoft SQL Server1213
4.PostgreSQL372
5.MongoDB333

» more

DB-Engines

DB-Engines is an initiative to collect and present information on database management systems (DBMS). In addition to established relational DBMS, systems and concepts of the growing NoSQL area are emphasized.

The DB-Engines Ranking is a list of DBMS ranked by their current popularity. The list is updated monthly.

The most important properties of numerous systems are shown in the overview of database management systems. You can examine the properties for each system, and you can compare them side by side.

In the database encyclopedia terms and concepts on this topic are explained.

DB-Engines has been created and is maintained by solid IT.

If you have suggestions, questions or general feedback, we would appreciate to get a message from you.

Recent DB-Engines citations in the news

MongoDB Files with SEC to Go Public
22 September 2017, Database Trends and Applications

MyDiamo Expands Open Source Database Encryption Offerings to Include PostgreSQL
19 September 2017, Markets Insider

TigerGraph nabs $31M in Series A funding
19 September 2017, App Developer Magazine

Actian adds Apache Spark support to vector database on Hadoop
21 September 2017, SiliconANGLE News (blog)

provided by Google News

Upcoming Events

» more DBMS events
Neo4j event
GraphConnect 2017
New York, USA
23-24 October 2017
MongoDB event
MongoDB Europe 2017
London, United Kingdom
8 November 2017

Despite careful research, we can assume no liability for the information presented here to be complete and accurate.

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