Use case

Clinical Knowledge Graph Demo

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.

Tech stack

PuppyGraph
Apache Iceberg
Docker
PostgreSQL

Queries in natural language

  • List the drugs approved by FDA, limiting the number of returned results
  • Get drugs with mechanisms of action for human targets, returning 50 results (This operation queries data from both Iceberg and PostgreSQL)

Want to try it yourself?

We've open-sourced the sample dataset, graph schema, and graph queries on GitHub, so you can recreate this demo in your own environment.

Visit GitHub Repository

Downloads

Sample dataset

Download

Schema JSON file

Download

Query groovy file

Download

Get started with PuppyGraph!

PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model.

Dev Edition

Free Download

Enterprise Edition

Developer

$0
/month
  • Forever free
  • Single node
  • Designed for proving your ideas
  • Available via Docker install

Enterprise

$
Based on the Memory and CPU of the server that runs PuppyGraph.
  • 30 day free trial with full features
  • Everything in Developer + Enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required

Developer Edition

  • Forever free
  • Single noded
  • Designed for proving your ideas
  • Available via Docker install

Enterprise Edition

  • 30-day free trial with full features
  • Everything in developer edition & enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required