PuppyGraph Demos

In our Cybersecurity Network Topology demo, we delve into the robust capabilities of graph technology to manage and visualize intricate network infrastructures. Using PuppyGraph, we dynamically trace and display the network pathways from specific server nodes to downstream load balancers, including scenarios involving failed nodes. This visualization aids in rapid identification of critical points and potential vulnerabilities, enhancing network security management and response strategies. Watch how easily complex network relationships are navigated and analyzed, ensuring operational integrity and swift troubleshooting.

This demo queries the public MIMIC Demo Dataset on patient journey usually needed by healthcare or insurance organizations. This video also demonstrates users can query the same copy of data both in SQL (via Trino) and Graph (via PuppyGraph).

This demo showcases how PuppyGraph adeptly manages Artifact Dependency in software development environments. Through the graph, users can trace all direct and indirect dependencies of a specific artifact, understand the impact chains by identifying which other artifacts depend on it, and swiftly diagnose failing builds by correlating them with their dependencies. This comprehensive visibility accelerates troubleshooting, enhances build reliability, and supports developers in maintaining robust build pipelines within complex systems.

In this e-commerce analytics demo, we delve into a comprehensive knowledge graph that interlinks orders, products, sellers, and more to offer a multifaceted view of transactions. Starting with specific orders, we expand the exploration to include associated products and sellers, dynamically filtering by delivery status to highlight key data points directly on the visualization. This approach enables detailed insights into the e-commerce operations, enhancing decision-making and customer service strategies.

In this demo, PuppyGraph navigates a complex supply chain to optimize logistics and sales performance. We illustrate how to identify top-selling products and verify their inventory status, ensuring they are adequately stocked. Additionally, the demo addresses products with no sales, providing insights into potential market adjustments. It also showcases strategic reallocation of resources, offering solutions for transferring necessary parts from the nearest inventory when they are urgently needed at specific locations. This holistic view facilitates efficient management of supply and demand within the supply chain.

This demo showcases how financial services can unravel the web of connections from investment groups to individual securities, traversing through entities like persons, trusts, and accounts. Financial firms can utilize this to visualize investment pathways, assess group and individual asset balances, and identify key security holders, enabling a deeper understanding of investment structures and the distribution of assets within intricate financial portfolios for their clients.

This demo showcases how to analyze and visualize high CPU utilization across components within a large call graph, using PuppyGraph's powerful query capabilities. By querying historical records related to components with a CPU load ratio above 0.9, users can swiftly identify patterns of heavy usage and the associated component and invocation information. Additionally, the application of the PageRank algorithm ranks the importance of each component, providing insights into which components are critical within the network and might need optimization or monitoring to prevent system overloads. This practical approach helps in proactive system maintenance and optimization in complex environments.

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Investigate a real anonymized data sample from a peer-to-peer (P2P) payment platform, identify fraud patterns, resolve high risk fraud communities, and apply recommendation methods. We will identify new fraud risks that went undetected with non-graph methods, increasing the number of flagged users by 87.5%. Graph Schema: credit cards, devices, and IP addresses. Each user node has an indicator variable for money transfer fraud (named MoneyTransferFraud) that is 1 for known fraud and 0 otherwise. This indicator is determined by a combination of credit card chargeback events and manual review.

This demo illustrates the capability to identify potentially fraudulent activities by examining extensive transaction networks. Users can discover the most active token addresses, monitor high-value transactions, and trace intricate patterns of interactions between accounts over specific timeframes. By leveraging these queries, crypto trading platforms' compliance and security teams can effectively pinpoint and investigate suspicious behavior across expansive digital currency systems, enhancing security measures and regulatory compliance.

In this demo, we explore the rich dataset of Drug Central to demonstrate the power of PuppyGraph in the pharmaceutical sector. By seamlessly querying across diverse data stores like Iceberg and PostgreSQL, users can efficiently retrieve FDA-approved drugs and explore drugs' mechanisms of action on human targets. This capability not only enhances drug discovery processes but also supports quick, informed decision-making in pharmaceutical research by providing access to comprehensive drug information in real-time.