Re: [Neo4j] large graph visualizations/analytics

2012-04-12 Thread Ajinkya Kale
Thank you Peter, Rick, Michael .. I will try your suggestions and will let you know how it goes. Thank you for the suggestions. On Wed, Apr 11, 2012 at 1:56 PM, Michael Hunger michael.hun...@neotechnology.com wrote: You can also just spin up a 4XL AWS instance (with 68G RAM) for the viz and

[Neo4j] large graph visualizations/analytics

2012-04-11 Thread Ajinkya Kale
Hi, I am trying to load neo4j db in Gephi on a 64-bit windows system with 6GB RAM running a 64-bit jvm but it runs out of memory .. i tried to allocate more memory through the jvm parameters and ended up allocating the maximum possible without any luck. My graphdb is of the following dimensions :

Re: [Neo4j] large graph visualizations/analytics

2012-04-11 Thread Peter Neubauer
Mmh, have you tried GraphViz? It's not interactive but might be up to the task, having possibly less overhead than Gephi ... Cheers, /peter neubauer G:  neubauer.peter S:  peter.neubauer P:  +46 704 106975 L:   http://www.linkedin.com/in/neubauer T:   @peterneubauer Neo4j                      

Re: [Neo4j] large graph visualizations/analytics

2012-04-11 Thread Peter Neubauer
Ajinkya, just talked to one of the Gephi guys, 2.3M nodes and 60M edges...you should buy another computer with at least 60GB of RAM for Gephi. Cheers, /peter neubauer G:  neubauer.peter S:  peter.neubauer P:  +46 704 106975 L:   http://www.linkedin.com/in/neubauer T:   @peterneubauer Neo4j    

Re: [Neo4j] large graph visualizations/analytics

2012-04-11 Thread Rick Otten
Of Peter Neubauer Sent: Wednesday, April 11, 2012 5:25 AM To: Neo4j user discussions Subject: Re: [Neo4j] large graph visualizations/analytics Ajinkya, just talked to one of the Gephi guys, 2.3M nodes and 60M edges...you should buy another computer with at least 60GB of RAM for Gephi. Cheers, /peter

Re: [Neo4j] large graph visualizations/analytics

2012-04-11 Thread Michael Hunger
You can also just spin up a 4XL AWS instance (with 68G RAM) for the viz and shut it down after you're done. For analytics you can use Neo4j directly or you export your db into twitters cassovary. For visualization, perhaps you can find something here: