pygraphistry

We made http://github.com/graphistry/pygraphistry for that sort of thing, feel free to ping for an API key! The idea is by connecting GPUs in your browser to GPUs in the cloud, we can do bigger and bigger datasets over time. We're currently 1M nodes & edges in interactive-time (so no leaving your computer for 1hr+ or crashing), and actively working on the V2 engine to get us to 100X more. And yep, generally we don't want to stay long in large views, so we see it more about being scalable / smart / usable enough to let you go in-and-out.

The graph layers look wonderful, I'm happy to see they have progressed so far! The combination of Arango's new capabilities with Graphistry should be interesting. So, if Arango graph users are interested in trying GPU visual graph analytics for looking at more data at a time, our team is happy to share access to http://github.com/graphistry/pygraphistry . Likewise, investigation teams digging daily into event & entity data (security, fraud, patient journey, ...), we are piloting our visual playbook automation & interactive investigation layer with medium & large enterprises, and we'd love to chat about that as well. Either way, ping info@graphistry -- this sounds like a great match.

For larger graphs -- 10K nodes, 100K nodes, ... --- we built http://github.com/graphistry/pygraphistry, which leverages GPU client+cloud acceleration. We're happy to share API keys with folks doing fun things. There's a REST endpoint and a Pandas (Python/Jupyter) convenience library, so should be quick to use even if the data is in a database. Our customers are primarily doing stuff like security incident investigations over Splunk event logs, for example. For anyone interested in bigger datasets, just send a note to info@graphistry.com .