


G.V() - Graph Database Client & Visualization Tooling Revenue
Data Infrastructure and Analytics • Glasgow, Scotland, United Kingdom • 1-10 Employees
G.V() - Graph Database Client & Visualization Tooling revenue & valuation
| Annual revenue | $513,330 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Data Infrastructure and Analytics industry and current estimated revenues | $1,700,000 |
| Total funding | No funding |
Key Contact at G.V() - Graph Database Client & Visualization Tooling
Arthur Bigeard
Founder
Company overview
| Headquarters | Glasgow, Scotland, United Kingdom |
| Website | |
| NAICS | 518 |
| Keywords | Data Visualization, Graph Analytics, Graph Database, Neo4J, Graph Visualization, Cypher, Azure Cosmos Db, Gremlin, Janusgraph, Apache Tinkerpop, Memgraph, Aerospike Graph, Amazon Neptune, Labeled Property Graph, Puppygraph, Google Cloud Spanner Graph, DQL, Dgraph, GQL, Kuzu |
| Founded | 2021 |
| Employees | 1-10 |
| Socials |
G.V() - Graph Database Client & Visualization Tooling Email Formats
G.V() - Graph Database Client & Visualization Tooling uses 2 email formats. The most common is {first name}.{last name} (e.g., john.doe@gdotv.com), used 80% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@gdotv.com | 80% |
{first initial}.{last name} | j.doe@gdotv.com | 20% |
About G.V() - Graph Database Client & Visualization Tooling
G.V() is a graph database client & visualization tool for property graph databases. It is compatible with Amazon Neptune, Neo4j, Memgraph, Google Cloud Spanner Graph, Azure Cosmos DB’s Gremlin API, JanusGraph, Dgraph, Kuzu, Gremlin Server and many more property graph databases. Write Gremlin, Cypher, GQL and DQL queries easily using the G.V() built-in query editor, with syntax checking, autocomplete and embedded documentation. Save and organize your queries into folders, to easily maintain curated reports for your database. Navigate, explorer and modify your graph data interactively with the graph database visualization feature. The graph visualization tools in G.V() give you both performance and flexibility, allowing you to render tens of thousands of elements and customize their appearance easily. And with just a few clicks, you can view, add, edit and delete vertices, edges and their properties, saving you time and effort writing individual update queries. Using G.V()'s graph visualization features, you can also filter and navigate your data by loading node neighbors in a couple clicks, making data exploration a breeze. The graph view offers you a variety of layouts that are configurable in a click. Get a concise and central view of the structure of your data: G.V() automatically detects the data schema from your graph database and allows you to visualize it as an entity-relationship diagram in the Data Model Explorer. This improves collaboration between your users by providing an easy-to-understand, consolidated view of your graph data model. For non-technical users, the no-code graph data explorer gives you the ability to retrieve and visualize data without the need to write a complex database query. Combined with the ability to create parameterized reports based on Gremlin, Cypher, GQL or DQL queries, your non-technical users have a range of actionable reporting tools at their fingertips.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
G.V() - Graph Database Client & Visualization Tooling has 6 employees across 4 departments.
Departments
Number of employees
Funding Data
G.V() - Graph Database Client & Visualization Tooling has never raised funding before.
G.V() - Graph Database Client & Visualization Tooling Tech Stack
Discover the technologies and tools that power G.V() - Graph Database Client & Visualization Tooling's digital infrastructure, from frameworks to analytics platforms.
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Frequently asked questions
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