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! The easiest way to get started in Azure is through the Azure Marketplace, and for enterprise users, we also support Docker installation.
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.
Version 2.23.4 brings a bunch to enterprise analysts and developers! Read on to learn more about those, and see full release notes at our new release notes page .
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, and see full release notes at our new release notes page .
Curious to turn your graph DB data into GPU-accelerated visual graph analytics sessions & dashboards? One-click launch on AWS now!
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 .
Curious to explore & automate your own CSV or database/API data with GPU visual graph analytics and investigation automation? One-click launch on AWS now!