I’m excited to share the first announcement on Graphistry for individuals and startups: Same great Graphistry software, and now 8X cheaper! Leveraging Graphistry for your data is now cheaper than keeping caffeinated. This has been a long time coming. We’ve worked towards universal 100X GPU speedups for your day-to-day data experience since day one. […]
Release 2.26.1 features substantial GPU computing upgrades and significantly improves the investigation experience for Neo4j and workflow automation. It’s so big that we’ll be posting multiple tutorials over the next few weeks on how to use some of the bigger features. For now, read one for an overview!
Release 2.25 follows the footsteps of 2.24 of focusing on daily practice. Some of the biggest features in this release are automatic ontology support for popular logging and alert tools and a managed migration & update script. In parallel, much of our time is going to working directly with everyone in the field to assist with your projects, and we’re excited to bring the resulting workflows and concepts into features for everyone.
Sometimes the best feature is to improve the experience with the current ones. Behind the scenes, we’ve been working much more closely with our users. Externally, release 2.24.24 comes with a bunch of tiny improvements from working with everyone. This release is for you!
Graphistry has made it to Azure! Of course, we still love Amazon too: The Graphistry ontology now supports CloudTrails datatypes out-of-the-box. On-premise? In 2.24.11, we also added an example of setting up an RHEL 7.6 environment for nvidia-docker-based software in addition to our existing Ubuntu guides. Read on to learn more about 2.24.11!
Enterprise users will be happy to hear about the data bridge, while fuzzy matching and new URL parameters should make life better for scripters. This release also provides an example of working with PNNL’s new HyperNetX Python package.
Version 2.22.7 streamlines use with Gremlin/TinkerPop (CosmosDB, Neptune, JanusGraph, …), helps you turn Jupyter Notebooks into dashboards, and adds more URL API parameters. Read on to learn more about those
Version 2.22 makes life better for both new and existing users. We’re especially excited about introducing TigerGraph and SQL support, and the continued progress with the 2.0 engine. Read on to learn more about those, and see full release notes at our new release notes page .
It feels likes eye-popping times for those deep into building the future of visual data experiences. With Looker exiting (-> Google for $3B), Tableau exiting (->SalesForce for $16B), and less public, Periscope & ZoomData exiting, the Graphistry team is experiencing good feelings and key reflections. One of them is… the $16B exits are just a prelude to the next $160B in opportunities.
Threat Hunting Masterclass: Three data science notebooks for finding bad actors in your network logs
Welcome to the inaugural Graphistry masterclass! In our first session, we dig into hunting over encrypted network activity with Zeek logs, Graphistry visualization, and Jupyter Notebooks with special guest Chit from Corelight.