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The graph technology solution landscape

Neo4j may be the one graph solutions getting the biggest mindshare, but it's not the only one out there. Here is an incomplete reference.
By George Anadiotis, Contributor
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1 of 7 Image: DB Engines

Graph database popularity

Neo4j seems to have the biggest mindshare among graph databases.

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2 of 7 Image: Aurelius

Titan

TitanDB, until it was acquired by DataStax, was a leading graph database.

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3 of 7 Image: DataStax

DSE Graph

DataStax Enterprise Graph is based on Titan. DataStax has different integration plans in store.

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4 of 7 Image: Apache Foundation

GraphX

GraphX is an open-source graph computation framework for Apache Spark. According to Cloudera's Sean Owen, however, it's not getting much traction.

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5 of 7 Image: GCHQ

Gaffer

Gaffer is a graph framework released as open source by GCHQ, the UK Government Communications Headquarters, one of the three UK Intelligence and Security Agencies, along with MI5 and the Secret Intelligence Service (MI6).

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6 of 7 Image: Apache foundation

Apache Giraph

Apache Giraph is an iterative graph processing system built for high scalability.

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7 of 7 Image: SAP

SAP Hana Graph

SAP Hana also supports graphs.

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