Summary
PuppyGraph delivers real-time, zero-ETL graph analytics for fraud detection, enabling organizations to detect hidden patterns and act on threats in seconds—not hours. By querying existing data lakes and warehouses directly (no data movement or duplication), PuppyGraph empowers teams to visualize interconnected fraud networks, scale effortlessly to billions of edges, and deploy production-grade solutions in days. Industry leaders like Coinbase, Clarivate, and Netskope have validated its performance, citing multi-hop queries across hundreds of millions of edges in under three seconds and seamless integration with platforms like Databricks Unity Catalog. The platform is backed by a seasoned team from Google, LinkedIn, and TigerGraph, and offers a forever-free developer edition alongside a feature-rich enterprise trial. As Eric Sun, Sr. Manager of Data Platform at Coinbase, notes: “This is so powerful, and our users really enjoy this type of flexibility.”
- How does PuppyGraph accelerate fraud detection compared to traditional systems? * PuppyGraph replaces slow, batch-based systems (30+ minutes per query) with real-time, online graph analytics—delivering 5-hop queries in under 3 seconds across 700M edges and enabling instant fraud alerts in 100-200ms.
- What is required to deploy PuppyGraph for fraud analytics? * No ETL or data migration is needed; deployment to first query takes about 10 minutes, using your existing data in formats like Delta Lake, Iceberg, or Parquet—either on-premises or in the cloud.
- How does PuppyGraph handle scale and complexity? * PuppyGraph is proven in production at petabyte scale, handling billions of nodes and edges, with real-time query performance and the ability to expand from terabytes to hundreds of terabytes as data grows.
- What are the main benefits for fraud teams? * Teams gain the ability to visualize and investigate complex fraud networks, resolve high-risk cases faster, and adapt to new fraud patterns without the overhead of managing a separate graph database.
- Who stands behind PuppyGraph’s technology and support? * The founding team brings decades of graph and infrastructure experience from Google, LinkedIn, Instacart, and TigerGraph, offering free setup assistance and active community support via Slack, GitHub, and YouTube.
- Case studies highlight dramatic improvements: One fintech customer moved from 30-minute offline queries to sub-second real-time analytics, and another achieved instant fraud alerts and scaled from 3-5TB to 100TB data volumes.
- “PuppyGraph doesn’t require us to load or ETL any of the data into a specialized or proprietary database... This capability is so powerful, and our users really enjoy this level of flexibility.” – Eric Sun, Coinbase, Data+AI Summit 2024














