#GraphCast: How to Deploy Your Graph Database on GKE
By Bryce Merkl Sasaki
July 19, 2019 < 1 min read
Check out this week’s #GraphCast, featuring David Allen explaining how to quickly deploy your graph database on Google Kubernetes Engine via GCP Marketplace.
Explore: cluster provisioning GCP GCP Marketplace GKE Google Kubernetes Engine graph database GraphCast Kubernetes neo4j
Google Kubernetes Engine and Neo4j: Ease, Power and Flexibility
By Jocelyn Hoppa
June 17, 2019 4 mins read
Learn about the benefits of running Neo4j on GKE, including ease of deployment, technical flexibility, autoscaling and security.
Explore: autoscaling containers GKE Google Cloud Platform Marketplace Google Kubernetes Engine GRANDstack graph database GraphQL Kubernetes relational database
Google Kubernetes Engine and Neo4j: Power Your Apps with Graphs
By Jocelyn Hoppa
June 10, 2019 4 mins read
Discover the power of containers about Kubernetes’ GKE in combination with a Neo4j graph database to solve connected data problems.
Explore: containers elasticsearch GKE Google Cloud Platform Marketplace Google Kubernetes Engine graph database Kubernetes MongoDB relational database
This Week in Neo4j – Speaker Identification meets graphs, Graph Technology Landscape, Why You Need Graph Technology on GKE, Revealing Malware relationships
By Mark Needham
February 9, 2019 5 mins read
Welcome to This Week in Neo4j, where this week we have a presentation explaining why you need graph technology on Google Kubernetes Engine, as well as a blog post explaining how to reveal malware relationships using Neo4j. We also have… Read more →
Explore: BBC GoodFood GKE Graph Technology Landscape malware analysis Power BI Speaker Identification twin4j