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.

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.Learn more: https://www.puppygraph.com/Download forever free developer edition: https://www.puppygraph.com/dev-download

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).

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.

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.

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.

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 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.

Frequent schema changes can be resource-intensive, often requiring extensive reprocessing or potentially disrupting data pipelines. Traditional graph databases might even necessitate a complete rebuild. PuppyGraph, the first graph query engine of its kind, eliminates these hassles by enabling you to query your SQL data as a unified graph model atop your existing data stores—without any ETL. This unique capability allows you to modify your data schema as often as needed without worrying about ETL processes or altering the physical data plan. Watch this demo video to discover how effortlessly you can adapt your data schema within PuppyGraph, making schema changes instant and seamless.

As the first graph query engine for your data lakes and data warehouses, PuppyGraph allows you to query multiple SQL data stores as a unified graph model effortlessly. Getting started with PuppyGraph is straightforward. Simply download the free Docker container, set up the intuitive web-based UI, and connect to your data source.

‍

In this demo video, we guide you step-by-step through connecting your data source, designing your graph schema with the PuppyGraph UI, and executing graph queries on your data. Discover how easily PuppyGraph integrates into your existing infrastructure, transforming your data into actionable insights.

Dive into our step-by-step tutorial on leveraging your data assets through Unity Catalog and querying them as a graph model using PuppyGraph. This video guides you through deploying PuppyGraph via a Docker container, connecting to your data source, and creating a graph schema. You'll learn how to perform graph analyses by querying your data as a graph—all within minutes.

‍

To learn more, please read our blogs:

‍Integrating Unity Catalog with PuppyGraph for Real-time Graph Analysis

‍Databricks Knowledge Graph: Everything You Need To Know

PuppyGraph's UI has an intuitive dashboard feature designed to enhance your data visualization and sharing capabilities. Through it, users have the ability to create customizable tiles, each backed by graph queries. This functionality allows for the predefined setting of graph queries, facilitating a streamlined process to not only analyze but also present complex data in an accessible manner. In this demo video, we provide a concise walkthrough of the dashboard functionalities. Learn how to edit, move, delete, and resize tiles to craft a dynamic dashboard that brings critical insights to the forefront, all at a glance.

Learn more at our Dashboard Docs.