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PuppyGraph stands out as the only graph analytics engine that empowers users to query one or more relational data stores as a unified graph model—without ETL or data duplication. With deep integrations across Databricks, Google Cloud, and Amazon S3, PuppyGraph delivers real-time, multi-hop graph insights for use cases like fraud detection, cybersecurity, supply chain optimization, and healthcare analytics. The platform is designed for rapid deployment (“deploy to first query in ~10 minutes”) and scales to petabytes, supporting open query languages such as Gremlin and openCypher. Compliance and security are underscored by SOC 2 certification and robust governance features. Jaz Ku, a Solution Architect with a Computer Science background and research experience in Rust’s compiler infrastructure, is a key technical voice making advanced graph analytics accessible and actionable.
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<strong>What makes PuppyGraph different from traditional graph databases?</strong>
* PuppyGraph enables zero-ETL, in-place graph analytics directly on your existing data lakes and warehouses, eliminating the need for data movement or duplication (<a href="https://www.puppygraph.com/">puppygraph.com</a>).
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<strong>Which industries and use cases does PuppyGraph support?</strong>
* PuppyGraph powers graph analytics for financial services (fraud detection), cybersecurity (threat analysis), retail/supply chain (inventory/logistics optimization), and healthcare/life sciences (biomedical data relationships) (<a href="https://www.puppygraph.com/solutions">puppygraph.com/solutions</a>).
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<strong>How quickly can I get started with PuppyGraph?</strong>
* Users can deploy and run their first queries in approximately 10 minutes, thanks to flexible packaging (free developer edition, enterprise trial, AWS Marketplace) and Docker/AMI support (<a href="https://www.puppygraph.com/dev-download">puppygraph.com/dev-download</a>).
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<strong>What governance and compliance features are available?</strong>
* PuppyGraph supports native integration with existing data catalogs (e.g., Databricks Unity Catalog, BigQuery, AlloyDB) and is SOC 2 certified, ensuring enterprise-grade security and compliance (<a href="https://www.puppygraph.com/security-information">puppygraph.com/security-information</a>).
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<strong>Who is Jaz Ku and what is her role at PuppyGraph?</strong>
* Jaz Ku is a Solution Architect with a Computer Science degree from the University of San Francisco, experienced in technical writing and compiler research, focused on making complex graph analytics approachable and effective (<a href="https://www.puppygraph.com/about">puppygraph.com/about</a>).
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<em>“The Only Graph Analytic Engine That Enables Users To Query One Or More Relational Data Stores As A Unified Graph Model.”</em>
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Discover more, explore documentation, and join the community:
<a href="https://docs.puppygraph.com/">Docs</a> |
<a href="https://www.puppygraph.com/blog">Blog</a> |
<a href="https://twitter.com/puppyquery">Twitter</a> |
<a href="https://www.linkedin.com/company/puppygraph/">LinkedIn</a> |
<a href="https://github.com/puppygraph">GitHub</a> |
<a href="https://www.youtube.com/@PuppyGraph">YouTube</a> |
<a href="https://join.slack.com/t/puppygraph-community/shared_invite/zt-251pa4vde-viEpNZcNifxRch9En5Eu7g">Slack</a>
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<strong>Get started:</strong> <a href="https://www.puppygraph.com/dev-download">Free Download</a> or <a href="https://www.puppygraph.com/book-demo">Book a Demo</a>
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