Graph Intelligence will be a sizable percentage of the $299B AI market. Graph Intelligence architectures are converging to patterns that largely complement modern data platforms. You don’t need a graph database: none of Meituan’s 30 GNNs use one. Our recommendation for most companies starting out is to jump right in. It’s just a matter of time until graphs become a standard method to analyze data for operational insights. Figure 5 shows that tools are now in place for most companies to get started.
Many graph visual intelligence investigations start with loading in an edges table and nodes table, such as an events table (edges) that connect items in an accounts table (nodes). Our new no-code file uploader is great for exploring files, even for tricky configurations. However, many of our users don’t realize they can use it with […]
The latest version of Graphistry is now available for self-hosting users, including in submission to the AWS and Azure cloud marketplaces. The main reason for the release is to fix an an issue some users self-hosting version 2.37.40 have reported issues with logged-in users being unable to access visualizations.
Get started now! Try on a CSV On behalf of the Graphistry team, I am excited to officially announce: Hub Pro (Graphistry Hub for Professionals) is the next step of our vision of bringing GPU-accelerated visual graph analysis to everyone! The launch is one step of many. One side of bringing GPU graph capabilities is […]
Get started now! Try on a CSV The latest Graphistry release makes GPU-accelerated visual graph analysis easier for data scientists and teams and grows where you can use it. The current release hits many themes of our mission of bringing 100X investigations through GPU visual graph intelligence to all analysts: Affordability – Azure: Azure: Experiment […]
Collaboration is a critical way modern data analysts scale their insights and impact. It represents the kind of capability gap the Graphistry team aims for in our broader mission to 100X the investigation process. Our team has been working hard on releasing the first wave of new features to scale graph-empowered investigation collaborations across team […]
Enabling quick no-code and low-code investigations of relationships in data is priority #1 for Graphistry this year. Our recent no-code file uploader first solved a simple top scenario: when a table has 2 columns to link, like src_ip and dest_ip, or say user_id and page_id, explore it as a graph. Within a few clicks, you […]
Good news: Graphistry 2.37.11 brings across-the-board advances for visual graph analysis for UI users, GPU analysts, embedding developers, and improvements for both on-prem (air-gapped) and Hub cloud users. It also includes RAPIDS 0.19 and associated GPU ecosystem features and upgrades. Read on for our favorite improvements below, and the release notes for additional update details. […]
Uptime matters. You can now easily check uptime status for Graphistry Hub services at status.graphistry.com. Screenshot: New status.graphistry.com uptime status page For Graphistry users managing your own instances, we encourage you to plug in Graphistry’s health check endpoints into your own custom automation systems. For example, you can alert on outages and trigger custom auto-restart […]
Graphistry 2.36.6 brings updates to both our no-code users and hands-on GPU ones for how they explore relationships across their data. In addition, it coincides with a new release of `graph-app-kit` focused on TigerGraph support and fixes. Get started now! Try on a CSV GPU updates: RAPIDS 0.18 and Multi-GPU sharing The latest release helps […]