Fighting Fraud Faster with Real-Time, Zero-ETL Graph Analytics
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deploy to query in
10 Mins
10-hop query across 600M edges in
2.26 Secs
in production for data volume of
5-10PB
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 storage layer for graphs. They can just simply query everything on your data lake. Doesn’t matter if it’s Delta or Iceberg or just pure Parquet file. And they can pull the data into the graph model and in another distributed computation engine and render all the results for you. We just use this one to couple this with Unity Catalog so that we open up all our transactional and the crypto data which are already on our Delta Lake. Then PuppyGraph can query them directly and perform all kinds of graph-based exploration and aggregation. This is so powerful, and our users really enjoy this type of flexibility.
Eric Sun
Sr. Manager of Data Platform at Coinbase, at Data+AI Summit 2024
See PuppyGraph Tackles Financial Challenges
Explore fraud in P2P payments using an anonymized dataset with PuppyGraph. Identify fraud communities, resolve high-risk cases, and discover new risks with graph-based methods, enhancing detection by 87.5%.
Explore financial networks with PuppyGraph: Visualize investment paths from groups to securities through persons and accounts. Unravel asset balances and key holders for a deep understanding of complex portfolios.
Discover fraud in crypto transactions using PuppyGraph. Visualize extensive transaction networks, trace high-value transactions, and monitor account interactions to enhance security and regulatory compliance in trading platforms.
case study highlight #1
From Slow to Pro—
PuppyGraph Accelerates Fraud Detection for a Top Trading Platform
PuppyGraph Accelerates Fraud Detection for a Top Trading Platform
Before PuppyGraph
Unable to find a scalable, budget-friendly graph solution for fraud detection application.
No graph database solutions meet scalability, performance, and budget requirements.
Ended up building an in-house, offline system limited to 3-hop queries, taking 30+ minutes per request, plagued by batch timeouts and timed-out issues.
After PuppyGraph
Transitioned to PuppyGraph for a real-time, online system, slashing query response times to seconds.
Achieved rapid 5-hop queries in under 3 seconds across 700 million edges.
Smooth 1-day POC; fully operational in less than 6 months.
case study highlight #2
PuppyGraph Enhances Fintech Security with Instant Fraud Alerts
Before PuppyGraph
Struggled to build a real-time alerting system to detect fraudulent accounts and pull relevant data for human reviewers.
SQL-based systems failed to meet real-time performance requirements.
Existing SQL-based solutions were inflexible, with hard-coded query logic, limiting the criteria necessary for effective human reviewers
After PuppyGraph
Achieved real time alerting in product by delivering 100-200ms for quick alerting queries.
Single digit seconds for extremely complex investigative queries for human investigation.
Scaled the system to handle 3-5 TBs of data, with plans to expand to 100TB by adding more data sources by the end of next year.
Track Down Fraud Fast – PuppyGraph Leads the Pack.
Discover hidden patterns and connections at scale.
Graph Insight
See beyond isolated data points; visualize interconnected fraud networks in your data.
Scale Effortlessly
Manage vast data landscapes—billions of edges and nodes deciphered without a sweat.
Real-Time Responses
From data to decisions in seconds, not hours. Stay ahead of fraud with sub-second query speeds.
Zero Complexity
Skip the ETL. Deploy and query complex tabular data sets in 10 minutes, all without needing a traditional graph database.
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puppygraph experts
Decades of Experience. At Your Service. Without a Dime.
Our team of experts have led graph and infra projects at Google, LinkedIn, Instacart, and TigerGraph, all ready to assist you. Get up and running in just a week with our free, expert-driven setup service.
Weimo Liu
Chief Executive Officer
Previously
Danfeng Xu
Co-Founder & CTO
Previously
Lei Huang
Co-Founder & Chief Architect
Previously
Ready to get started?
Download our forever free developer edition now and experience the power of zero-ETL graph analytics
Developer Edition
- Forever free
- Single noded
- Designed for proving your ideas
- Available via Docker install
Enterprise Edition
- 30-day free trial with full features
- Everything in developer edition & enterprise features
- Designed for production
- Available via AWS AMI & Docker install
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