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Data Infrastructure

PuppyGraph

Graph query engine that queries relational data in place

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About PuppyGraph

PuppyGraph is a graph query engine that lets teams query existing relational tables and lakehouse data as a graph without copying data. It supports openCypher and Gremlin and is used for knowledge graphs, fraud, cybersecurity and AI agent workloads.

Common use cases

  • Fraud detection
  • Cybersecurity analysis
  • Knowledge graphs
  • Supply chain analysis
  • AI agent context

Products and services

PuppyGraph engine

Graph query over existing tables

Schema Builder

Visual tool for mapping tables to a graph

AI assistant and MCP server

Connects agents to graph queries

Key features

  • Zero-ETL graph queries
  • openCypher and Gremlin
  • Lakehouse support
  • Visual schema builder
  • MCP server
  • Kubernetes deployment

Integrations

  • Snowflake
  • Databricks
  • BigQuery
  • Apache Iceberg
  • Delta Lake
  • PostgreSQL
  • MongoDB

PuppyGraph alternatives

FAQs

Is it a graph database?

No, it queries existing relational and lakehouse data as a graph without moving it.

Which query languages?

openCypher and Gremlin.

Is there a free option?

Yes, a Developer Edition is free; enterprise pricing is separate.

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