GraphGrid: A Secure Global Connected Data Platform
By Bryce Merkl Sasaki
October 17, 2017 4 mins read
In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely… Read more →
Explore: amazon web services • AWS • Connected Data • disaster recovery • graphconnect • GraphGrid • microsoft azure • security architecture • virtual private cloud • VPC
A Game of Data and GraphQL [Game of Thrones Community Post]
By Bryce Merkl Sasaki
August 17, 2017 2 mins read
This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is… Read more →
Explore: .NET • cypher • Game of Thrones • github • graph database • graph technology • GraphQL • Medium • microsoft azure • neo4j
Neo4j Is Now Available on the AWS Marketplace
By Bryce Merkl Sasaki
June 8, 2017 2 mins read
Many Neo4j users host their databases in on-premise data centers, but there’s an increasing trend of utilizing cloud-based hosting providers. EC2 on Amazon Web Services has always been a popular choice given its success in the market, so we wanted… Read more →
Explore: amazon web services • AWS • aws marketplace • Azure marketplace • Causal Clustering • cloud • Connected Data • EC2 • microsoft azure • neo4j
How to Deploy Neo4j on Microsoft Azure, a Step-by-Step Guide [Azure Series, Part II]
By Bryce Merkl Sasaki
May 31, 2017 5 mins read
In the first post of this series covering Neo4j on Microsoft Azure, we announced the availability of Neo4j in the Azure Marketplace. Today, we’ll go into more detail on how to deploy Neo4j in your Azure environment. Step 1: Sign-Up… Read more →
Explore: Azure marketplace • bolt • Causal Clustering • cloud • high availability • microsoft azure • neo4j • Neo4j Browser • SSL • virtual network
Neo4j 3.2 GA Release: Enterprise Scale, Native Performance & More
By Bryce Merkl Sasaki
May 11, 2017 17 mins read
We are proud to announce the general availability release of Neo4j 3.2. This release marks an expansion in global scale, enterprise refinement and all-around performance. It signals that the next generation of graph-powered Internet applications will span the globe. To… Read more →
Explore: AWS • Causal Clustering • cluster management • cypher • Kerberos • microsoft azure • multi-data center • native graph database • Neo4j 3.2 • Neo4j Browser
Announcing Neo4j in the Microsoft Azure Marketplace [Azure Series, Part I]
By Bryce Merkl Sasaki
May 10, 2017 3 mins read
We are excited to announce the availability of Neo4j in the Microsoft Azure Marketplace. Neo4j is a native graph database that stores data as graphs rather than in tables so you can traverse any depth of data in real time… Read more →
Explore: Azure marketplace • cloud • cloud platform • Data Relationships • graph database • high availability • microsoft azure • native graph database • neo4j • public cloud
Containerized Neo4j: Automating Deployments with Docker on Azure
By Bryce Merkl Sasaki
January 13, 2016 10 mins read
Editor’s Note: Last October at GraphConnect San Francisco, David Makogon – Senior Azure Architect at Microsoft – and Patrick Chanezon – Technical Staffer at Docker – delivered this presentation on how to automate cloud deployments of Neo4j using Docker and… Read more →
Explore: azure • azure resource manager • cloud • container • docker • docker compose • graphconnect • microsoft azure • neo4j • virtual machine
Why Production-Grade Neo4j Hosting Matters – From One Graphista to Another
By Bryce Merkl Sasaki
October 9, 2015 4 mins read
Editor’s Note: GrapheneDB is a Bronze sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Alberto and other sponsors in person. I’m a developer who knows what it’s like to set up Neo4j in production. I’ve been in the… Read more →
Explore: amazon web services • aws technology partner • data modeling • Graph Databases • graphconnect • GrapheneDB • heroku • microsoft azure • neo4j • neo4j hosting