General

G.V() 3.40.94 Release Notes: Ultipa Graph support, Embedded Cypher Documentation

G.V() 3.40.94 Release Notes: Ultipa Graph support, Embedded Cypher Documentation

Joe Stainke General, Release Notes Cypher, GQL, graph database, graph technology, ultipa

Today marks the release of G.V() 3.40.94. Some significant additions this time around – we now support ISO GQL (Graph Query Language), starting with Ultipa Graph Database!
We’ve also extended our embedded documentation feature, previously only available for the Gremlin query language, to work with Cypher and its many database-specific variants.
And finally, we’ve introduced further user experience improvements, most notably to the settings menu.

Getting started with Memgraph and G.V()!

Getting started with Memgraph and G.V()!

Amber Lennox General, Memgraph, Tech Feature Cypher, graph database, graph visualization, Memgraph

Memgraph+G.V() is a classic combination that turns your computer into a formidable tool for analysis and visualization, which is exactly what we’d like to show you today. We’ll first explore how to get started with Memgraph itself and use some of Memgraph’s own built-in visualization options, then we’ll show how G.V() can unlock even more of Memgraph’s potential.

G.V() 3.38.90 Release Notes: FalkorDB support, improved graph styles

G.V() 3.38.90 Release Notes: FalkorDB support, improved graph styles

Amber Lennox General, Release Notes Cypher, falkordb, graph database, graph visualization

G.V() 3.38.90 is out now! This newest version includes a number of exciting updates – most notably we have added full FalkorDB support. We’ve also added several new quality-of-life features and fixes, including an improved stylesheet interface that makes customizing your graph visualization easier than ever!

Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]

Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]

Amber Lennox General, Release Notes Amazon Neptune, AWS, Cypher, data model, data visualization, graph data, graph database, graph visualization, Gremlin, SSH

Learn how to get started with Amazon Neptune graph database with this developer guide that walks you through setting up and connecting to your first cluster.

G.V() 3.34.79 Release Notes: Oracle Graph Support, new no-code exploration, and more

G.V() 3.34.79 Release Notes: Oracle Graph Support, new no-code exploration, and more

Arthur General, Release Notes Cypher, graph visualization, Gremlin, kuzu, no-code data exploration, Oracle 23ai, Oracle Graph, SQL:2023

What’s new in G.V() 3.34.79? Oracle Graph support, new no-code path query generation features, Kuzu 0.11.0 upgrade and many more improvements!

Discover & Visualize Your Graph Database Schema in Just 2 Steps

Discover & Visualize Your Graph Database Schema in Just 2 Steps

Arthur General, Release Notes Aerospike Graph, Amazon Neptune, Apache TinkerPop, AWS, Azure Cosmos DB Gremlin API, Cypher, Data Discovery, database schema, ER Diagram, graph data model, graph database, Gremlin, kuzu, Memgraph, Neo4j

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().

G.V() Is Now Compatible with Memgraph, the Light & Powerful Graph Database

G.V() Is Now Compatible with Memgraph, the Light & Powerful Graph Database

Arthur General, Release Notes

Explore all the ways that G.V() helps Memgraph developers more effectively query, visualize, explore, and edit their graph data – with ease and simplicity.

Fast, scalable graph querying and visualization with Kuzu and G.V()

Fast, scalable graph querying and visualization with Kuzu and G.V()

Arthur General, Kuzu Connected Data London, Cypher, data model, embedded graph database, graph visualization, kuzu

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.

How does G.V() compare with Neo4j Browser? Let’s find out!

How does G.V() compare with Neo4j Browser? Let’s find out!

Joe Stainke General, Neo4j aura db, Cypher, data model, database client, graph database, graph visualization, Neo4j, neo4j browser

We’re all about helping graph database adoption, and so is Neo4j. Find out in this article how our approach with G.V(), our graph database client, compares to Neo4j browser.

G.V() is now Available for Hypermode Graphs & Dgraph

G.V() is now Available for Hypermode Graphs & Dgraph

Arthur Dgraph, General, Hypermode Graphs data model, database client, dgraph, dgraph cloud, DQL, graph data, graph database, graph technology, graph visualization, hypermode, hypermode graphs

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.