Table of Contents
In which cases Neo4j is widely used?
What Are the Common Use Cases of Graph Databases?
- Fraud detection.
- Real-time recommendation engines.
- Master data management (MDM)
- Network and IT operations.
- Identity and access management (IAM)
Does Google use Neo4j?
Google Cloud Next ’19, SAN FRANCISCO, Calif. – April 9, 2019 – Neo4j, the leader in graph databases, and Google Cloud today announced a strategic partnership that will offer the Neo4j graph database delivered as a seamless experience integrated with GCP console, billing, and support services.
Which companies are using Neo4j?
Leading telcos like Verizon, Orange, Comcast, and AT rely on Neo4j to manage networks, control access, and enable customer 360.
What companies are using graph databases?
Neo4j is the leading graph database technology that drives innovation and competitive advantage at Airbus, Comcast, eBay, NASA, UBS and more.
When should I use a graph database?
Graph databases have advantages for use cases such as social networking, recommendation engines, and fraud detection, when you need to create relationships between data and quickly query these relationships. The following graph shows an example of a social network graph.
Does GCP have a graph database?
JanusGraph is a graph database that supports working with large amounts of data. This tutorial shows you how to run JanusGraph on Google Cloud with Google Kubernetes Engine as the orchestration platform and Bigtable as the storage backend.
Does LinkedIn use a graph database?
Introducing LIquid, LinkedIn’s in-house graph database Our team at LinkedIn has spent the last four years building a new graph database named LIquid. LIquid is a single, automated service that replaces the hand-coded queries that sometimes added several hundred milliseconds to page load times for members.