SHACL in gdotv: Unifying Your RDF Data Model & Validation
Discover how gdotv transforms SHACL validation shapes into a unified RDF data model by integrating ontology and instance data into one explorable view.
data model
![Who Needs a Chart When You Can Just Chat? [feat. Data Day Texas 2026]](https://gdotv.com/wp-content/uploads/2026/04/graph-visualization-christian-miles-video-speaker-notes-1024x535.png "Who Needs a Chart When You Can Just Chat? [feat. Data Day Texas 2026]")
Who Needs a Chart When You Can Just Chat? [feat. Data Day Texas 2026]
Watch (or read) this presentation by Christian Miles on the future of graph data visualization in the world of LLMs – inspired by his talk at Data Day Texas.
![Announcing Ontology Support, Improved Data Model Visualization, Entra ID auth Support & More [v3.51.108 Release Notes]](https://gdotv.com/wp-content/uploads/2026/01/apache-age-entraid-auth-support-ontology-data-model-viz-gdotv-release-1024x535.png "Announcing Ontology Support, Improved Data Model Visualization, Entra ID auth Support & More [v3.51.108 Release Notes]")
Announcing Ontology Support, Improved Data Model Visualization, Entra ID auth Support & More [v3.51.108 Release Notes]
Dive into the latest release of G.V() graph database IDE including new features for ontology support, improved data model visualization, EntraID, and more.
Stop Right There: Conducting Fraud Detection with Aerospike Graph
Discover how to detect fraudulent financial transactions with speed and accuracy using G.V() and Aerospike Graph Database in this developer walkthrough.
Game changer? A first look at the Hydra project
Hydra is a programming language that uses mathematical abstraction to model graphs within the language itself. It’s an open-source project spearheaded by Josh Shinavier, co-creator of Apache TinkerPop. In Josh’s own words: “In Hydra, programs are graphs, and graphs are programs.”
G.V() is now compatible with Oracle Graph
G.V() is now compatible with Oracle Graph on Oracle Database 23ai, bringing access to instant graph visualization for property graphs built atop your relational data.
![Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]](https://gdotv.com/wp-content/uploads/2025/06/amazon-neptune-graph-database-developer-guide.png "Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]")
Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]
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.
Fast, scalable graph querying and visualization with Kuzu and G.V()
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!
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 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.
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