Universal, plug-and-play graph database tooling
Graphs made clear
Discover gdotv's suite of tools for searching, visualizing and modeling connected data.
Any graph database. Any query language. For Property Graphs and RDF.
Trusted by industry leaders
Case studiesWhy gdotv?
Plug-and-play
Connect gdotv to your graph database in under a minute.
All in one
Replace scattered clients, notebooks and homegrown viewers with one tool for all your graph databases.
Versatile
Query, search, model, explore, report, share. From development to production, from beginner to expert, gdotv has the right tool for you and your project.
Secure
On your desktop or in your own cloud infrastructure. Your data is always yours and remains securely in your network.
< 15 minutes
from deployment to your first graph visualization
30+ connectors
for RDF, property graphs and graph on relational engines
One workbench
for all graph data projects, from development to production
Features
Connect
Point gdotv at your graph database, and it will walk you through the steps to connect securely in less than a minute.
Discover
gdotv fetches your graph schema proactively via APIs and queries, or discovers it as you query data. This is a top-down overview of your data's structure that evolves with your graph.
Query & Debug
Write in your language of choice, with schema-aware autocomplete and validation available for Gremlin, Cypher, SPARQL, GQL and more.
Model & Edit
Create, update and delete nodes, relationships and properties directly against the live schema.
Visualize & Explore
Display the graph how you think about it. Directly, using geospatial data, or navigating with the no-code explorer.
Share Dashboards & Reports
Securely publish parameterized dashboards or reports for analysts and stakeholders to derive insights from your graph data, without any querying.





Graph database coverage
We know graph databases inside out
gdotv has deep expertise in the graph database industry. Our products are meticulously integrated with your favorite graph database(s). From development to production, query to graph visualization, and insights, we've got you covered.
Amazon Neptune
Google Cloud Spanner Graph
Azure Cosmos DB
Neo4j AuraDB
Amazon Neptune Analytics
Google Cloud BigQuery Graph
Amazon Neptune (RDF)
GraphDB
Stardog
PuppyGraph
FalkorDB
Neo4j
Apache Jena
LadybugDB
Apache AGE
JanusGraph
Apache HugeGraph
pgGraph
Memgraph
RDF4J
Aerospike Graph
ArcadeDB
Dgraph
Tentris
RDFox
QLever
Gremlin Server
Oracle
DataStax
Ultipa
Virtuoso
AllegroGraph
Kuzu
Blazegraph
Aliyun GDB
Deploy or install anywhere
For teams with cloud-hosted databases
Self-hosted
For individuals and local development
Windows
macOS
Linux
Our solutions
Whether you're an individual or part of a larger team, there's a version of gdotv that's right for you.
gdotv Desktop
The ultimate graph database IDE.
Install and connect your first graph database in 2 minutes.
gdotv Team
The unified workbench for graph data teams.
Deploy to your team in under 15 minutes. Marketplace or self-hosted.
gdotv Enterprise
The universal graph intelligence platform.
For organization-wide deployments. Bring graph data directly to your analysts.
Case study
Krisp uses gdotv to traverse complex relationships in their AI meeting assistant
See how audio processing and communication platform Krisp uses gdotv in content management and identity & access management.

From the blog
All blog postsEFFKG Review, Part 3: How to Score Knowledge Graph Referencing Quality
Score referencing quality in a public knowledge graph with RQSS, and see why 4 million EFFKG references resolving to 13 sources prove less than they look.
EFFKG Review, Part 2: 4 Queries That Expose the Fishing Fleet Graph
Explore the European Fishing Fleet Knowledge Graph with 4 SPARQL queries that return graphs instead of tables, and find where its structure runs out.
Why is GraphRAG so hard? Find out in this Neo4j Fujitsu knowledge base
Explore a Neo4j case study in GraphRAG systems, what insights we uncovered along the way and how to improve graph-based retrieval workflows using gdotv.
EFFKG Review, Part 1: How to Query the Fishing Fleet Knowledge Graph
Learn how to reach the European Fishing Fleet Knowledge Graph via its public SPARQL endpoint and an AWS Neptune import, and why the two copies disagree.



