G.V() is now Compatible with Kuzu, the Embedded Graph Database
G.V() is now compatible with Kuzu, bringing feature-rich graph visualization and query editing features to Kuzu users. Let’s dive into the benefits of this integration.
Cypher
G.V() 3.23.59 is out, adding support for Kuzu and Dgraph, and improved visualization
G.V() 3.23.59 is out now, bringing support to Kuzu and Dgraph. We’ve also added improvements to our graph visualization and data model viewer user experiences.
G.V() 3.21.49: Spanner Graph support, graph visualization improvements, and more!
G.V() 3.21.49 is now generally available, with headline features such as Google Cloud Spanner Graph support, cool improvements to our graph visualization engine and reworked table displays for improved performance. We’re always on the lookout for ways to make a better, further reaching product for the graph database community – in this latest update we get to do a bit of both!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
For the first time ever, G.V() can be used on non Apache TinkerPop graph databases. It is now compatible with Neo4j, Neo4j AuraDB, Memgraph and Amazon Neptune Analytics using the Cypher querying language.
G.V() on AWS Marketplace: Your Favorite Graph DB Client, Now in Your Browser
Learn about the release of G.V() graph database client on AWS and how to get started with a free trial
Turning Relational Data Into Graph Visualizations with PuppyGraph and G.V()
In this article we’ll showcase a first of its kind Graph analytics engine that transform and unify your relational data stores into a highly scalable and low-latency graph. I present to you: PuppyGraph! Introduction This is going to be a […]