Discover & Visualize Your Graph Database Schema in Just 2 Steps
Stop wondering about changes to your graph data model and start exploring your up-to-date database schema with only a couple of clicks when you use G.V().
Stop wondering about changes to your graph data model and start exploring your up-to-date database schema with only a couple of clicks when you use G.V().
Explore all the ways that G.V() helps Memgraph developers more effectively query, visualize, explore, and edit their graph data – with ease and simplicity.
In this post, we’ll dive into Kuzu’s core query capabilities and demonstrate how it pairs nicely with G.V()’s rich visualization tools.
G.V() is now compatible with Dgraph and Hypermode Graphs. With this partnership we bring a wealth of new tooling and features for Dgraph users to explore and visualize their graph data like never before.
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.
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 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!
Discover the differences between Azure Cosmos DB Data Explorer and G.V() in this detailed breakdown of both graph database clients and their features.
Learn all about G.V()’s new compatibility with Google Cloud Spanner Graph including plug-and-play setup, graph visualization, and no-code data exploration.
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.