Graph DB Shootout 2.0 Slides/Notes from DataDay Seattle

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Graph DB Shootout 2.0 Slides/Notes from DataDay Seattle

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I visited the Northwest in July for DataDay Seattle and gave an updated version of my Graph Database Shootout.

With Neo4j releasing 3.0 back in April, and DataStax releasing DSE Graph after acquiring Aurelius, there’s been a lot of progress in the graph database engine world. I still include a summary of the problem that got me started with graph databases, along with my surprising findings from the 1.0 Shootout.

I have also changed the data set involved. I used the Linked Data Benchmark Council (LDBC) public Social Network Benchmark dataset and have included a lot of code examples for loading with both engines, along with some sample queries.

Click on the link below to download the slide deck and speaker notes.

 

View Graph Database “Shootout” 2.0

 

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Technologies

Josh Perryman

September 6, 2016

Graph DB Shootout 2.0 Slides/Notes from DataDay Seattle

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I visited the Northwest in July for DataDay Seattle and gave an updated version of my Graph Database Shootout.

With Neo4j releasing 3.0 back in April, and DataStax releasing DSE Graph after acquiring Aurelius, there’s been a lot of progress in the graph database engine world. I still include a summary of the problem that got me started with graph databases, along with my surprising findings from the 1.0 Shootout.

I have also changed the data set involved. I used the Linked Data Benchmark Council (LDBC) public Social Network Benchmark dataset and have included a lot of code examples for loading with both engines, along with some sample queries.

Click on the link below to download the slide deck and speaker notes.

 

View Graph Database “Shootout” 2.0

 

User Audience

Services

Project Details

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