PuppyGraph revolutionizes healthcare analytics by enabling real-time, zero-ETL graph queries directly on massive and complex patient and biological datasets—no data migration or duplication required. Healthcare organizations can deploy in under 10 minutes, analyze billions of nodes and edges, and surface actionable insights in seconds, all while leveraging existing data infrastructure. The platform’s decoupled compute approach empowers teams to visualize patient journeys, optimize research (e.g., DrugCentral, MIMIC), and uncover hidden relationships that drive better outcomes. Endorsed by industry leaders like Clarivate, PuppyGraph is engineered by experts from Google, LinkedIn, and TigerGraph, and is available in both free developer and enterprise editions. As Hongliang Liu, Director of Data Science at Clarivate, states: “PuppyGraph’s approach, decoupling the query engine from the storage, enabled us to connect to our data files and perform analytics across different data categories—this could assist with unlocking insights and new possibilities.”

• How does PuppyGraph enable real-time healthcare analytics without ETL? * PuppyGraph queries existing tabular data sources as a unified graph, eliminating the need for ETL or data movement, and delivers actionable insights in seconds—even at petabyte scale.
• What healthcare use cases does PuppyGraph support? * It powers clinical knowledge graphs, patient journey analytics, pharmaceutical research (e.g., DrugCentral), and insurance optimization, all with seamless integration across platforms like Apache Iceberg and PostgreSQL.
• How quickly can healthcare teams deploy and start querying with PuppyGraph? * Deployment to first query takes approximately 10 minutes, with no payment or forms required for the developer edition.
• What scale and performance can PuppyGraph handle in production? * PuppyGraph supports 10-hop queries across 600M edges in just 2.26 seconds and is proven in environments with 5–10PB of data.
• Who is behind PuppyGraph and what expertise do they bring? * The founding team includes veterans from Google, LinkedIn, Instacart, and TigerGraph, offering decades of graph and infrastructure experience to accelerate customer success.

Notable testimonial: “After evaluating a few different graph solutions, we struggled to find one that could scale to our data needs. PuppyGraph’s approach, decoupling the query engine from the storage, enabled us to connect to our data files and perform analytics across different data categories—this could assist with unlocking insights and new possibilities.” — Hongliang Liu, Director of Data Science at Clarivate

Download the free developer edition or book a demo to experience zero-ETL graph analytics for healthcare. Join the community Slack or explore healthcare use case demos on GitHub for hands-on learning.