Partner

Blazing-Fast Graph, Petabyte Scale

Powered by a native graph database, Neo4j stores and manages data in its more natural, connected state, maintaining data relationships that deliver lightning-fast queries, deeper context for analytics, and a pain-free modifiable data model.

Energy Demo with Neo4J

  • Expero’s Finance Toolkit accelerates the integration of components into a fully automated finance workspace.

In this demo we will discuss how to create a competitive advantage through leveraging Graph Analytics and Machine Learning technology with Visualizations, which helps many industries: gas pipeline, smart cities, energy suppliers and distributors, oil & gas supply chains, oil field asset management, and utility companies better manage complex networks and real time end to end visualization by modeling the myriad relationships and dependencies in a way that closely mirrors real life scenarios.

View Demo

Electrical Use Cases Graph and ML in Energy Industry

Learn more about our work and solution experiences in Utilities & Energy and our partnership with Neo4j

Learn More

Connected Financial Crimes - Neo4j White Paper

Building financial crimes software for expert users requires understanding of the specific needs as well as tasks and roles in a larger team of investigators. The goal is to create uniquely tailored solutions to those users’ needs — not create a simple report or dashboard.

Learn More

Fight Financial Crimes Graph + Machine Learning

Learn more about our work and solution experiences in Financial Crimes and our partnership with Neo4j

Learn More
No items found.
Learn more about Neo4j

Trending Webinars in Graph Technology

Trending Topics in Graph Technology

Multi-Tenant Applications in Neo4j

Neo4j is the most popular graph data store available today. It leverages graph technologies to help build modern high-performing applications, but it does not have any native multi-tenant support. However, you may have decided to build out your multi-tenant application and that Neo4j is the right graph data store to fit your needs. In any multi-tenant system, the trick (from a data-store side) really comes down to how to isolate one tenant’s data (physically or logically) from another tenant’s.

Watch Demo

What’s New in Neo4j

“Jeez, I’m out of it for a little while, everyone gets delusions of grandeur!” That’s what Han Solo said after being frozen in carbonite. I’ve been solving data problems for customers the last year and a half and am now getting back in graph DBMSs. We took a nice look at Titan last week, can’t wait to play with that some more. I’m going to give a bit of the same to Neo4j. All of this as prep for my talk at GraphDay 2016 in Austin, TX.

Watch Demo

Fitting the Data: Neo4j & Cypher

In this second post we look at how the application’s graph data fit into a leading graph database: Neo4j. Quite well actually.

Watch Demo

Trending Presentations in Graph Technology

Fight Financial Crimes Graph + Machine Learning

Learn more

Electrical Use Cases Graph and ML in Energy Industry

Learn more