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Tag Publications: graph database

We’re sponsoring these Neo4j Graph events – see you there

We’re excited to announce our sponsorship of several Neo4j graph events! Over the course of the next 3 months, we’ll be sponsoring and attending 5 Neo4j graph events taking place throughout 4 different countries! You’ll not only hear from industry experts themselves, but also from key companies relying on graph technology to help transform the […]

The GraphTech Ecosystem 2019 – Part 1: Graph Databases

This post is part of a series of 3 articles about the GraphTech ecosystem. This article is the first part and covers the graph database landscape. The second part is about graph analytics frameworks and the third part lists the existing graph visualization tools.

Visualize Cosmos DB graph data in Linkurious Enterprise

Linkurious Enterprise is compatible with Azure Cosmos DB and offers investigation teams a turnkey solution to detect and investigate threats hidden in graph data. In this post, we explain how Linkurious Enterprise connects to Cosmos DB graph database.

Linkurious announces support for Cosmos DB

Our team is excited to announce that we are officially adding support for Azure Cosmos DB. You can now connect the Linkurious Enterprise graph intelligence platform to Microsoft’s globally distributed, multi-model database. This solution brings new ways for data-driven teams to explore, visualize and find insights in rich, connected data.

Stolen credit cards and fraud detection with Neo4j

Have you ever had your credit card stolen? It is not an uncommon situation. If it happens to you and you’re lucky, your bank will end up paying for the operations made with the credit card. But what happens behind the scene? Do criminals get caught? In this post, we see how graph technology like […]

Insurance Fraud Investigation using Linkurious

  In the US alone, insurance fraud costs companies between 40 and 80 billion dollars each year. Being able to detect fraud schemes before fraudsters steal anything is critical for insurance companies. Yet, the detection and investigation processes remain difficult for these institutions. Most of them simply lack the appropriate tools to detect and investigate complex […]