G.V() graph database client
G.V()
With G.V(), you can accelerate your graph projects and perform day-to-day graph database tasks more efficiently. It's available through Amazon Marketplace
Key features
Query editors
The built-in Gremlin and Cypher query editors provide real-time autocomplete, suggestions, and documentation as you type your query. These features are informed by your graph data schema to help you write accurate queries quickly.
You can parameterize and save queries as one-click reports, enabling you to build insightful, centralized reporting for your graph database in minutes.
Data visualization formats
To analyze your query results, G.V() offers multiple data visualization formats:
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Graph visualization for exploring connections and patterns in your data, with an optional underlay for geographical map data
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Table views, organizing vertices, edges, or tabular query results as rows for a quick comparison of property values
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JSON data format for developer-friendly output
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Object browser to navigate your data based on its hierarchical structure, best suited for complex aggregations of information
Graph data explorer
G.V()'s no-code Graph Data Explorer lets you search your graph data with ease using property filters and traverse edges from vertices interactively via the graph view. You can also create, update, and delete vertices, edges, and their properties with a few clicks to modify your graph data without writing full queries.
Graph data model view
The Graph Data Model view provides a detailed visual representation of your labeled property graph schema to help your team understand your data model.
Amazon Neptune integration
G.V() offers in-depth integration with Amazon Neptune, including:
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IAM authentication
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Neptune API support
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Slow Query analysis
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Audit Log insights
Check out the G.V() documentation
Availability and updates
G.V() is continuously evolving with new features released monthly. Get started with a free trial of the
desktop
Product demonstration
See G.V() in action:

Learn more
For more information about G.V() features and capabilities, see the G.V() documentation