PuppyGraph

PuppyGraph, founded by a team of engineers from Google, LinkedIn, Airbnb, Pinterest, and Instacart, is a Santa Clara-based graph query engine that enables real-time analytics on existing relational data without requiring ETL or a separate graph database.

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A graph query engine that lets you analyze relational data as if it were a graph, without moving or copying the data.

PuppyGraph, founded by a team of engineers from Google, LinkedIn, Airbnb, Pinterest, and Instacart, is a Santa Clara-based graph query engine that enables real-time analytics on existing relational data without requiring ETL or a separate graph database. The company's core product is a zero-ETL solution that allows users to query relational data stores as a unified graph model, deployable in under 10 minutes. PuppyGraph has gained traction in industries like financial services, cybersecurity, and healthcare, with notable clients including Coinbase, Clarivate, Netskope, and eBay.

The company emphasizes petabyte-scale performance, SOC 2 compliance, and integrations with major cloud platforms like AWS and Google Cloud. PuppyGraph offers a free Developer Edition and a 30-day Enterprise trial, positioning itself as a low-friction alternative to traditional graph databases. Its technical blog, authored by domain experts, provides deep dives into graph analytics use cases and comparisons with competitors like Neo4j and TigerGraph.

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Who buys this

  • Financial services firms needing fraud detection
  • Cybersecurity teams analyzing attack surfaces
  • Healthcare/life sciences companies managing complex relationships
  • Retail and supply chain organizations optimizing logistics
  • AI teams enhancing LLMs with knowledge graphs

Publicly disclosed clients

  • Coinbase
  • Clarivate
  • Netskope
  • eBay
  • AMD
  • Palo Alto Networks

Strengths and what to watch

Strengths

  • Zero-ETL architecture reduces deployment time to under 10 minutes
  • Petabyte-scale performance with sub-second multi-hop queries
  • SOC 2 compliance and integrations with major cloud platforms

Watch for

  • Competition from established graph database vendors like Neo4j and TigerGraph
  • Dependence on cloud partnerships for distribution
  • Limited public information about funding or revenue

Key Information

Founded
2023
Headquarters
Santa Clara

Frequently Asked Questions

What is PuppyGraph?

PuppyGraph is a graph query engine that enables real-time analytics on relational data without requiring ETL or a separate graph database. Founded by engineers from Google and LinkedIn, it allows users to query relational data as a unified graph model in under 10 minutes.

How does PuppyGraph handle data integration?

PuppyGraph uses a zero-ETL architecture, eliminating the need for data movement or copying. This allows users to query existing relational data stores directly as a graph model, reducing deployment time to under 10 minutes and simplifying integration with cloud platforms like AWS and Google Cloud.

What industries use PuppyGraph?

PuppyGraph is used in financial services for fraud detection, cybersecurity for attack surface analysis, healthcare for managing complex relationships, and retail for optimizing logistics. Notable clients include Coinbase, Clarivate, Netskope, and eBay, showcasing its versatility across high-demand sectors.

How does PuppyGraph compare to Neo4j?

Unlike Neo4j, PuppyGraph does not require a separate graph database or ETL processes. It allows users to query relational data directly as a graph model, offering petabyte-scale performance and sub-second multi-hop queries, making it a low-friction alternative for real-time analytics.

What are PuppyGraph's key features?

PuppyGraph offers zero-ETL architecture, petabyte-scale performance, and sub-second multi-hop queries. It is SOC 2 compliant and integrates with major cloud platforms like AWS and Google Cloud. The platform also provides a Developer Edition and a 30-day Enterprise trial for evaluation.

Is PuppyGraph suitable for healthcare applications?

Yes, PuppyGraph is ideal for healthcare applications, particularly for managing complex relationships in life sciences. Its ability to perform real-time analytics on relational data without ETL makes it a powerful tool for healthcare organizations needing efficient and scalable graph query capabilities.

Sources

  1. www.puppygraph.com — Founding team background and company mission
  2. www.puppygraph.com — Product capabilities and customer testimonials
  3. www.puppygraph.com — Technical differentiation from traditional graph databases
  4. www.puppygraph.com — Technical expertise and use case coverage