PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model that deployed in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, AMD, Netskope, Palo Alto Network, eBay, and more.

How does PuppyGraph compare to Neo4j?

Unlike Neo4j, which requires you to load and sync data into its proprietary graph store, PuppyGraph runs directly on your data sources—eliminating ETL, reducing TCO, and enabling faster time-to-value. PuppyGraph also integrates natively with Databricks Unity Catalog, Google BigQuery, and AlloyDB.

What are the performance benefits of PuppyGraph?

PuppyGraph delivers multi-hop traversals in seconds over billions of edges. Real customer stories cite 5-hop queries on 1B+ edges in under 3 seconds.

Does PuppyGraph support my cloud data stack?

Yes. PuppyGraph natively integrates with Databricks Unity Catalog, Google BigQuery, AlloyDB, and AWS, keeping a single governed copy of your data.

How does PuppyGraph handle data governance and security?

PuppyGraph leverages your existing catalog and security (Unity Catalog, BigQuery, AlloyDB), so all graph queries respect your current access controls.

Can PuppyGraph power AI and LLM applications (GraphRAG)?

Yes. PuppyGraph enables Graph-based Retrieval Augmented Generation (GraphRAG) directly on your governed data—providing explainable, multi-hop context for LLMs and enterprise AI.

Summary

PuppyGraph is the only graph analytics engine that enables users to query one or more relational data stores as a unified graph model—without ETL or data duplication. With deep integration across Databricks, Google Cloud, and Amazon S3, PuppyGraph delivers rapid, multi-hop graph analytics directly on your data warehouse or lake, accelerating time-to-value for use cases like fraud detection, cybersecurity, supply chain, and healthcare analytics. The platform is SOC 2 compliant and recognized as a validated technology partner, emphasizing both security and interoperability. Community resources, including documentation, demo videos, and a vibrant Slack channel, make advanced graph analytics accessible and friendly for all users. PuppyGraph's crisp, outcome-driven approach is trusted by leading enterprises and backed by a supportive, knowledgeable team.

What makes PuppyGraph unique in the market? * PuppyGraph allows you to query multiple relational data sources as a unified graph without ETL, data movement, or duplication, providing instant graph analytics on your existing data infrastructure. (puppygraph.com)
Which industries and use cases does PuppyGraph support? * PuppyGraph powers graph analytics for financial services (fraud detection), cybersecurity (threat analysis), retail/supply chain (inventory optimization), and life sciences/healthcare (data relationships), among others. (puppygraph.com/solutions)
How can users get started with PuppyGraph? * Users can access free downloads, book a demo, or join the community Slack for support and onboarding; comprehensive documentation and demo videos are also available. (puppygraph.com/dev-download, puppygraph.com/book-demo)
Is PuppyGraph secure and compliant? * Yes, PuppyGraph is SOC 2 compliant and emphasizes robust security and governance, aligning with enterprise requirements. (puppygraph.com/security-information)
Where can I find more resources and connect with the PuppyGraph community? * Resources include documentation, blogs, demo videos, and active social channels on Twitter, LinkedIn, GitHub, YouTube, and Slack. (docs.puppygraph.com, twitter.com/puppyquery)

For technical deep dives, case studies, and to join a community that celebrates customer wins and technical education, visit the PuppyGraph website or connect via Slack.

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