Summary
PuppyGraph empowers cybersecurity teams to analyze complex, interconnected data at scale—without ETL or data duplication—by querying existing data lakes and warehouses in real time. Security organizations like Coinbase, Netskope, and PrevalentAI leverage PuppyGraph to unify asset, identity, vulnerability, and threat data, enabling instant risk scoring, blast radius analysis, and proactive threat detection across billions of nodes and edges. The platform delivers sub-second, multi-hop graph queries (e.g., 10-hop across 600M edges in 2.26 seconds) and can be deployed to first query in under 10 minutes, all while maintaining enterprise governance and compliance. Industry experts and customers consistently cite PuppyGraph’s operational simplicity, performance, and zero-ETL architecture as game-changing for security analytics. The product is led by a seasoned team (ex-Google, LinkedIn, TigerGraph) and offers a forever-free developer edition and a full-featured enterprise trial.
- How does PuppyGraph improve cybersecurity analytics? * PuppyGraph enables real-time, multi-hop graph analysis directly on your existing data lakes and warehouses, allowing security teams to detect threats, visualize vulnerabilities, and analyze complex relationships without ETL or data duplication. (source)
- What are the deployment and integration options? * PuppyGraph offers a free developer edition (Docker), a 30-day enterprise trial (Docker or AWS AMI), and integrates natively with Databricks Unity Catalog, Google BigQuery, AlloyDB, and more. (source)
- What performance can I expect for large-scale security data? * PuppyGraph routinely delivers sub-second, multi-hop queries on hundreds of millions of edges and supports production environments with 5–10 PB of data. (source)
- How do customers rate PuppyGraph’s impact? * Industry leaders praise PuppyGraph for its flexibility, speed, and zero-ETL architecture: “We simply query everything directly on our data lake… This capability is so powerful, and our users really enjoy this level of flexibility.” – Eric Sun, Sr. Manager, Data Platform at Coinbase (case study)
- Who is behind PuppyGraph and what support is available? * PuppyGraph is led by experts from Google, LinkedIn, and TigerGraph, offering free expert-driven setup and an active community on Slack, GitHub, and YouTube. (about)
- “PuppyGraph is a very interesting graph query engine. It doesn’t require us to load or ETL any of the data into a specialized or proprietary database… This is so powerful, and our users really enjoy this type of flexibility.” – Eric Sun, Sr. Manager of Data Platform, Coinbase, at Data+AI Summit 2024
- “PuppyGraph’s relationship engine has been instrumental in building our correlation platform, enabling seamless connectivity and insights.” – Naiming Chu, VP Infrastructure & Platform Operations, Netskope
- “GPEs like PuppyGraph—especially in cached mode—excel at analytical and summarization use cases, outperforming most graph databases by a wide margin.” – Namith Cholappurath, Head of Architecture, PrevalentAI
