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Tag Publications: graph database

Linkurious Enterprise now supports Neo4j v4

With the latest version of Linkurious Enterprise v2.9.5 available to clients and partners, it’s now possible to use the leading detection and investigation software for graph data with the latest version of Neo4j. Neo4j v4 brings multiple improvements, most notably support for multi-tenancy. Neo4j users can now run multiple instances from the same server. With […]

AML and graph analytics: a match made in heaven

Why should Anti-Money Laundering (AML) teams pay attention to graph analytics? In this article we will dive into the problems with today’s AML compliance technology, how it impacts anti-money laundering and how graph analytics can provide a path forward for a more effective detection and investigation of AML cases.

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.