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DB-Engines

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Microsoft SQL Server is the DBMS of the Year

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DB-Engines

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Exploring the trend towards open source database management systems

We have 154 open source systems in our ranking, slightly less than the 156 commercial systems. If we add up the popularity scores of all the open source systems, we get 46% of the overall scores, whereas 54% goes to commercial systems. While commercial systems are leading, looking at the ...
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Emerging and fading trends in database management systems
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. For our DB-Engines Ranking we assign a popularity score to each DBMS according to ...
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PostgreSQL moves up one rank at the expense of MongoDB
In the new DB-Engines ranking of September 2016 PostgreSQL reaches its all-time popularity high. Since at the same time MongoDB lost a few points, PostgreSQL could overtake MongoDB and climbed to rank 4. The following trend chart reveals that the race between those two systems is very tight and ...
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Time Series DBMS are the database category with the fastest increase in popularity
In a world that is collecting more and more data every day, Time Series DBMS seem to be perceived as particularly useful to deal with the data streams in an increasing number of application scenarios. Time Series DBMS are a very specialized type of database management system, optimized for ...
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Why some of the fastest growing databases are also the most experimental
Everyone has heard about MongoDB and Cassandra, but what other databases are making big gains against Oracle and Microsoft?
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DB-Engines Ranking climbers of the month:
1. SQLServer
2. Redis
3. PostgreSQL
http://db-engines.com/en/ranking 
312 systems in ranking, December 2016. Rank, DBMS, Database Model, Score. Dec 2016, Nov 2016, Dec 2015, Dec 2016, Nov 2016, Dec 2015. 1. 1. 1. Oracle Detailed vendor-provided information available · Relational DBMS, 1404.40, -8.60, -93.15. 2. 2. 2. MySQL Detailed vendor-provided information ...
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Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond

Contemplating an e-Commerce Platform? Did you know that e-Commerce sales are projected to reach $27 trillion by 2020? However, your e-Commerce website can only be profitable if your database is rapid, robust, and reliable. Gone are the times when HTML and CSS were powerful enough to keep your ...
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DB-Engines

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DB-Engines Ranking climbers of the month:
1. MySQL
2. PostgreSQL
3. MongoDB
310 systems in ranking, November 2016. Rank, DBMS, Database Model, Score. Nov 2016, Oct 2016, Nov 2015, Nov 2016, Oct 2016, Nov 2015. 1. 1. 1. Oracle Detailed vendor-provided information available, Relational DBMS, 1413.01, -4.09, -67.94. 2. 2. 2. MySQL Detailed vendor-provided information ...
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DB-Engines Ranking climbers of the month:
1. MySQL
2. Cassandra
3. Teradata
316 systems in ranking, October 2016. Rank, DBMS, Database Model, Score. Oct 2016, Sep 2016, Oct 2015, Oct 2016, Sep 2016, Oct 2015. 1. 1. 1. Oracle · Relational DBMS, 1417.10, -8.46, -49.85. 2. 2. 2. MySQL Detailed vendor-provided information available, Relational DBMS, 1362.65, +8.62, +83.69.
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DB-Engines Ranking climbers of the month:
1. ‪SQL Server‬ +12.16
2 .‪PostgreSQL‬ +4.10
3. ‪Elasticsearch‬ +3.87
309 systems in ranking, August 2016. Rank, DBMS, Database Model, Score. Aug 2016, Jul 2016, Aug 2015, Aug 2016, Jul 2016, Aug 2015. 1. 1. 1. Oracle · Relational DBMS, 1427.72, -13.81, -25.30. 2. 2. 2. MySQL Detailed vendor-provided information available, Relational DBMS, 1357.03, -6.25, +65.00.
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Enriching Property Graphs with Relationship Objects
In many graph database applications we find that a link between two nodes is quite complex. Conventional property graph databases try to manage the complexity by putting properties on the edges between nodes, but this technique has significant limitations. To overcome the limitations, ...
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Knowledge Base of SQL and NoSQL Database Systems
Introduction
Knowledge Base of Relational and NoSQL Database Management Systems