For teams in a shared environment
Cloud workbench for graph data teams
gdotv Team is the ultimate graph database workbench for developers, knowledge engineers and analysts. Write, debug and run queries, discover and track graph schemas, visualize and explore graph data.
It is the most widely compatible graph data studio, working across property graph and RDF technologies without compromise.
Available on AWS, Azure, Google Cloud Platform or self-hosted.
Why gdotv Team?
Benefits
One shared workbench
Work as a team across all your graph databases and environments under a single platform.
gdotv Team is not only the most universally compatible graph data studio, it is also the most feature-rich.
No more scrambling between multiple, vendor specific graph explorers and clients.
Easy to learn
Plug and play database configuration, graph visualization that works immediately out of the box, no-code exploration...
Every feature that gdotv offers is intuitive and made for beginners and experts alike.
Universal graph compatibility
Compatible with 30+ property graph and RDF databases and 7+ query languages, without compromise. Every graph database integration on gdotv is tailored to your database's own features and capabilities.
Runs in your account, on your bill
One-click deploy from your AWS, Google Cloud or Azure account - or self-hosted on your infrastructure, with transparent pricing.
gdotv runs securely within the perimeter of your organization, with Single Sign On as the default.
<15 minutes
from marketplace to a running deployment
30+ databases
property graph and RDF, unlimited parallel connections
7+ query languages
Gremlin, Cypher, SPARQL, GQL, GoogleSQL, SQL/PGQ and DQL
1
premium graph workbench to replace scattered native tools
Getting started
From deployment to first report
Deploy
gdotv Team runs as a self contained virtual machine, deploys in under 15 minutes, and works out of the box - no extra configuration needed.
Also available to self-host on Kubernetes or Docker Compose.
Connect
The gdotv connection wizard walks you through connecting your graph database in under a minute, and works with your cloud provider’s own identity management: AWS IAM, Google Cloud IAM and Microsoft Entra ID.
Model
Graph databases rarely enforce a schema, which makes keeping everyone building against the same model a challenge. gdotv Team tracks your graph data schema in a shared environment that keeps everyone in sync.
Query
Write graph queries in Gremlin, Cypher, SPARQL, GQL and more with schema accurate autocomplete, then run them against your database in one click.
Explore
Query results turn into an interactive graph visualization giving you an easily navigable view of your data. With automatic layout and labeling, the view is immediately understandable and can be further customized in a few clicks.
Results can also be visualized as a table for a quick overview and comparison of values returned.
Report
Turn saved queries into dashboards of charts, tables and graph panels that refresh against the live database, and share them with the whole team.
On a cloud marketplace
Virtual machine deployment
Self-hosted
On your own infrastructure
Deployed in under 15 minutes
Inside gdotv Team
Features overview
Shared connections and a shared data model
gdotv Team is a hub from which your developers, data scientists and analysts can work on graph databases as a team with a shared understanding of their data models.
Interactive, no-code graph exploration
Search the graph without writing a query, express a path with property filters in just a few clicks to investigate a specific area of your graph data. No coding or graph query language knowledge required.
Create and deploy dashboards for your graph data
Build interactive dashboards with tables, graphs, bar charts, line charts, maps and more directly against your graph database. Dashboards can be configured with parameters, auto refresh timeouts and multiple tabs, then easily be shared to the rest of your team.
State-of-the-art graph visualization
Interactive graph rendering for results of any size, from a few nodes to several thousand elements. Features configurable layouts, filtering, neighbor expansion and a geospatial mode. Create shared style configurations, label display rules, coloring and sizing schemes that you can switch between in one click to highlight different key points from your graph data.
Graph database coverage
30+ graph databases under a single workbench
Property graph or RDF, managed or self-hosted - first class support for every popular graph database. One workbench to replace every vendor specific graph explorer.
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
Virtuoso
AllegroGraph
Kuzu
Blazegraph
Aliyun GDB
Deploy in your own environment
gdotv Team: frequently asked questions
How is gdotv Team different from gdotv Desktop?
gdotv Team offers the same features as gdotv Desktop. However, gdotv Team is cloud-deployed and accessible for your whole team via a web browser.
This means everyone on the team has access to the same database connections, saved queries, stylesheets and dashboards, and signs in securely through your identity provider.
Desktop is licensed per seat. Team allows unlimited users and is charged on a host VM compute basis.
Where does it run?
In your own AWS, Google Cloud or Azure account, deployed via their respective marketplaces, in a virtual machine.
Alternatively, self-hosting via Kubernetes or Docker Compose is available; book a demo and we will set it up with you.
How is it priced?
gdotv Team is metered per vCPU-hour through the marketplace you deploy from. You are charged only while a gdotv instance is running.
The rate depends on the marketplace and the instance size gdotv Team is deployed on. There are no additional licensing costs.
Is there a free trial?
Yes. Trials run through the marketplace you deploy from, on that marketplace's own terms, and are available for self-hosted deployments too; the length varies, so check the listing or ask us and we will walk you through it.
How does single sign-on work?
Every deployment ships with Keycloak, which handles sign-in from the first minute with usernames and passwords you create in its admin console.
To use your own identity provider, point that Keycloak at it over SAML or OIDC and your existing groups and joiner-mover-leaver process carry over. Removing someone from the group removes their access.
How is our data handled in gdotv Team?
gdotv Team runs inside on your own infrastructure and connects to your graph databases from there, so traffic to them stays in your network and nothing routes through gdotv servers.
We have no access to your graph, your queries or your credentials. Connections, saved queries and dashboards are stored in the deployment's own database, alongside it in your account.
How many people can share one deployment?
The default recommended instance size on cloud marketplaces is suitable for teams of 5-15 users.
Which databases can we connect?
Refer to our databases page for a full, up to date compatibility list.
When should we look at gdotv Enterprise instead?
Once you need governed, auditable access to your graph databases outside the boundaries of typical technical roles. In Team, every member of the deployment sees the same connections.
Enterprise adds role-based access control per connection, so a new analyst and a principal engineer can share a deployment with configurable levels of access.
We already have Desktop licenses. Does Team replace them?
Not necessarily. Individual developers may use gdotv Desktop to work with localhost-ran graph databases while using Team for the shared connections, reporting and dashboards.