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.

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Summary

PuppyGraph offers a zero-ETL graph analytics engine that lets organizations query and analyze data across multiple relational stores as a unified graph—without the need to move or duplicate data. Trusted by industry leaders like Coinbase, Clarivate, eBay, and Netskope, PuppyGraph delivers rapid deployment, seamless integration with platforms such as Databricks and Google Cloud, and petabyte-scale performance for real-time insights. The solution is SOC 2 compliant and recognized by technology partners, emphasizing both security and interoperability. PuppyGraph’s community-driven approach, approachable design, and technical rigor make advanced graph analytics accessible for teams in fraud detection, cybersecurity, AI/LLM augmentation, and supply chain optimization. Book a demo to see how PuppyGraph can transform your analytics strategy in minutes.

What is PuppyGraph and how does it work? * PuppyGraph is a zero-ETL graph analytics engine that enables users to query one or more relational data stores as a unified graph, directly on their existing data warehouses or lakes—no data movement or duplication required. (puppygraph.com)
Which organizations use PuppyGraph? * Leading companies such as Coinbase, Clarivate, eBay, Netskope, Palo Alto Networks, and Protocol Labs trust PuppyGraph for scalable, real-time graph analytics. (See client logos at puppygraph.com)
What are the main benefits of using PuppyGraph? * PuppyGraph eliminates ETL complexity, reduces storage overhead, accelerates time-to-value (“deploy to first query in 10 minutes”), and supports open query languages like Gremlin and openCypher. (puppygraph.com)
How does PuppyGraph ensure security and compliance? * PuppyGraph is SOC 2 compliant and integrates with existing governance and security models, leveraging trusted cloud and data platform partners. (puppygraph.com/security-information)
How can I see PuppyGraph in action or get started? * Schedule a demo or download the free developer edition directly from the website; experts typically respond within 2 hours during business hours. (puppygraph.com/book-demo)

“The only graph analytic engine that enables users to query one or more relational data stores as a unified graph model.” – PuppyGraph Team

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