Eliminate chargeback fees and unrecovarable fraud in real-time

Enhance your fraud system by mining relationships between entities. Stop looking at activities, behaviors, individuals and entities in isolation, and provide context to your data to increase fraud detection accuracy by up to 90% and decrease false positives by up to 50%.

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Increase accuracy
with hybrid models

Combing through more data in less time will increase the system's accuracy and result in uncovering up to 90% more fraud.

neo4j vs memgraph benchgraph
neo4j vs memgraph benchgraph

Effortlessly handle
peak load times

Stop worrying about your system failing at peak-times due to high volume of transcations as Memgraph can effortlessly process millions of transactions per second.

Decrease false positives

Discovering hidden patterns in your data to get a broad context of the users' activities will allow you to quickly process genuine transactions.

Memgraph Fraud Detection Decrease False Positives


Applications, not Analytics

Graph Technology in Fraud Detection

When financial losses in the form of fraud are a constant threat to your business, you may choose to tread lightly. But not taking risks is just another way of losing profits. Instead of being overly cautious, use the right tools. Graph databases are exactly the right tool to deal with social processes with complex interactions and will allow you to be one step ahead of the fraudsters and efficiently detect fraud.

Memgraph Fraud Detection Whitepaper
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Why use Memgraph?

Performance for real-time needs

Handling real-time, highly concurrent, write-heavy data transactions is what Memgraph is all about.

C++ in-memory architecture gives Memgraph a massive head start for any real-time graph analysis needed. Don't just take our word for it, check out the benchmark results and validate them for yourself!

Available High Availability

High Availability is a major concern for developers. Through Memgraph's open source commitment, high availability is available to all developers through the Community Edition.

No need to fork out cash and the Enterprise licence to get an uninterrupted and continuous graph database system.

Full flexibility

Memgraph is a natural drop-in replacement as it is Cypher-ready.

There are multiple drivers to connect to the DB and allowing you to write custom procedures in various languages (Python, C/C++).

Fire up your instance on-prem or on AWS Cloud with a two-week free trial.

Blog post

How to Develop a Credit Card Fraud Detection Application using Memgraph, Flask, and D3.js

This tutorial will teach you how to build a simple Python web application from scratch. You will get a basic understanding of the technologies used and see how easy it is to integrate a graph database into your development process.

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Applications, not Analytics

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Find other developers performing graph analytics in real time with Memgraph.

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