MariaDB strengthens its position in the open source RDBMS market
by Matthias Gelbmann, 5 April 2018
Tags: MariaDB, MySQL, Open source DBMS, Relational DBMS

MariaDB has reached a new all-time high in the DB-Engines Ranking, climbing to rank 14, up from rank 18 one year ago and from rank 25 three years ago. That is roughly a tripling of its popularity score in the last three years.

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
by  Arnaud Comet, Microsoft (sponsor) , 1 November 2017
Tags: Data warehouse, Microsoft Azure SQL Data Warehouse, Relational DBMS

Today, with the proliferation of data sources and the need to be data-driven, it is hard for companies to avoid siloed sources of information. Siloed data marts can represent an important increase in cost and potentially business opportunities. Centralizing data to provide more complete datasets to your internal departments, suppliers or customers can become a competitive advantage. In the context of Hub & Spokes, Azure SQL Data Warehouse is optimized to provide the greatest experience as a hub thanks to its native integration with Azure SQL Database and Analysis Services (the spokes).

Emerging and fading trends in database management systems
by Paul Andlinger, 4 October 2016
Tags: DBaaS, Graph DBMS, Open source DBMS, Relational DBMS, Time Series DMBS

Articles on database technologies are jammed with buzzwords and prophecies of new trends, just like any other technology. We use the collected data of our DB-Engines Ranking to have a look at some of these trends.

Big gains for Relational Database Management Systems in DB-Engines Ranking
by Matthias Gelbmann, 2 February 2016
Tags: DB-Engines Ranking, MariaDB, Microsoft SQL Server, MySQL, PostgreSQL, Relational DBMS, SQLite

All of the 5 DBMSs that saw the biggest gains last month are relational systems. This confirms a trend we noticed since a half year.

Data Modeling in Document Databases for the RDBMS-Minded
by Cihan Biyikoglu (guest author), 7 December 2015
Tags: Data Modeling, Document stores, Relational DBMS

Data modeling for relational databases uses entity relationship diagrams and normalization, techniques which have evolved to perfection over the years. However data naturally does not exist in this full normalized form in real world applications. Document databases provide flexible primitives like JSON documents for storing entities but this does not mean data modeling is a lost art!

Graph DBMS increased their popularity by 500% within the last 2 years
by Paul Andlinger, 3 March 2015
Tags: Database models, DB2, Graph DBMS, Neo4j, Oracle, OrientDB, Relational DBMS, Titan

Graph DBMS show an extraordinary momentum and are making their way into enterprises.

Cassandra gained one rank and improves to 9th position
by Paul Andlinger, 2 April 2014
Tags: Cassandra, Database models, Graph DBMS, Relational DBMS, Wide column stores

While Cassandra achieves its best position ever, other trends are stabilizing in this months ranking.

Graph DBMSs are gaining in popularity faster than any other database category
by Matthias Gelbmann, 21 January 2014
Tags: Graph DBMS, Neo4j, OrientDB, Relational DBMS, Titan

When we look at how much various categories of database management systems increased their popularity last year, Graph DBMSs are the clear winner with more than 250% increase.

NoSQL systems continue to be on the rise
by Matthias Gelbmann, 3 December 2013
Tags: DB-Engines Ranking, NoSQL, Relational DBMS

The DB-Engines Ranking for December shows a decline in the ranking score for two of the dominant relational systems, while most others, particularly the NoSQL systems are gaining.

RDBMS dominate the database market, but NoSQL systems are catching up
by Paul Andlinger, 21 November 2013
Tags: Database models, NoSQL, Relational DBMS

Based on the popularity ranking, DB-Engines presents new statistics, which show that relational systems currently totally dominate the database market, but NoSQL systems have a strong upcoming trend.