Original post by Paul Andlinger, DB-Engines

Graph DBMS are designed to model and explore relationships in data in a way not efficiently possible in other types of DBMS (including relational systems).

The demand for a graph data model often comes from use cases like analysis of social relationships, identity and access management, online product and service recommendations, network and device management (buzzword: Internet of Things) and financial fraud detection.

The analysts of Forrester Research recently reported that Graph DBMS will reach over 25 percent of all enterprises by 2017 (source: TechRadar: Enterprise DBMS, Q1 2014. Forrester Research.)

The three leading Graph DBMS in the recent DB-Engines ranking are:

Name Score Overall rank
Neo4J 27,62 23
Titan 3,92 53
OrientDB 3,27 63

Trend of DBMS categories

We have made a chart, that shows how the various DBMS categories have evolved since January 2013:

For this chart, we took the three most popular systems for each category, and tracked their popularity changes, normalized to 100 for January 2013. While RDBMS are quite stable, all other categories gained in popularity and Graph DBMS increased by more than 500 percent.

That said, we want to mention, that Relational DBMS are still much more popular than any other type of DBMS: they account for 82% of the total popularity score of all systems listed on DB-Engines and 7 out of the top 10 systems in the current ranking are relational systems.

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