Sold by: gdotv
Deployed on AWS
Free Trial
gdotv Team is a collaborative workbench for developers, data engineers, and knowledge engineers working on property graph and knowledge graph projects.
It's the most advanced data studio for Amazon Neptune and Neptune Analytics, compatible with Gremlin, Cypher and SPARQL. Fully integrated with AWS IAM.
Access high-performance, interactive graph visualization with customizable styling/layouts, filtering, neighboor expansion, geospatial data support and much more. Made for teams: query, explore and analyze all of your organization's property graphs and knowledge graphs within a single user interface
5
Overview
gdotv Team is a collaborative workbench for developers, data engineers, and knowledge engineers working on property graph and knowledge graph projects.
It gives every developer and analyst a shared environment to write, debug and run graph queries, explore data without writing code, visualize results interactively, browse schemas, and build dashboards - across all major graph databases.
gdotv connects to as many graph databases as you need, allowing you to centrally manage them all without the need for separate or vendor specific tools.
Supported databases include Google Cloud Spanner Graph and BigQuery Graph, Neo4j, Amazon Neptune, GraphDB, Apache Jena, Stardog and many more - over 30 engines across Property Graph, RDF and Graph On Relational technologies.
Key features:
- The most advanced graph explorer for Amazon Neptune and Neptune Analytics, compatible with Gremlin, Cypher and SPARQL. Fully integrated with AWS IAM.
- Made for teams: query, explore and analyze all of your organization's property graphs and knowledge graphs within a single user interface
- High-performance, interactive graph visualization with customizable styling/layouts, filtering, neighboor expansion, geospatial data support and much more
- Automated graph schema detection and data model visualization
- Smart query editor with language-aware autocomplete, syntax highlighting, query debugging and execution profiling
- No-code graph exploration: search, expand and filter your graph visually, no query language required
- Dashboards: build and share charts, tables and graph panels from query results
- Unlimited everything: users, database connections, queries, data models, etc
Highlights
- The most advanced graph explorer for Amazon Neptune and Neptune Analytics, compatible with Gremlin, Cypher and SPARQL. Fully integrated with AWS IAM.
- High-performance, interactive graph visualization with customizable styling/layouts, filtering, neighboor expansion, geospatial data support and much more
- Made for teams: query, explore and analyze all of your organization's property graphs and knowledge graphs within a single user interface
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.80 |
t3.2xlarge | $2.56 |
t3.medium | $0.48 |
m5.2xlarge | $3.20 |
t3.large | $0.64 |
m5.xlarge | $1.60 |
t3.xlarge | $1.28 |
m5.4xlarge | $6.40 |
Dimensions summary
You pay by the hour based on the EC2 instance size you deploy gdotv Team onto. The eight dimensions map to two instance families: t3 sizes (medium, large, xlarge, 2xlarge) and m5 sizes (large, xlarge, 2xlarge, 4xlarge). Larger sizes carry more vCPU and memory and bill at higher hourly rates. You are charged only while an instance runs, metered through your cloud account. Billing is usage-based with no fixed term. Pick the size that fits your team, then scale up or down by changing the instance you run.
Top-of-mind questions for buyers
You pay per vCPU-hour based on the EC2 instance that runs gdotv Team. Each instance size carries a set number of vCPUs. You are charged only while an instance runs, metered through your cloud account. There are no separate per-user or per-seat license charges.
Charges apply only while a gdotv Team instance is running. If you stop the instance, software metering stops. Note that underlying AWS storage for a stopped instance may still accrue separately. The gdotv software bills running time only, with no additional licensing costs.
Your bill tracks the instance size and running time, not the number of users. One deployment supports unlimited users. The default recommended instance size suits teams of 5 to 15 people. Adding more users does not change your rate; you only pay more if you run a larger instance.
gdotv.com
Helpful?
Vendor refund policy
We do not currently support refunds, but you can cancel anytime in 1 click. If you'd like to discuss your use case further, please contact us at support@gdotv.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
gdotv 3.88.151 update
NEW:
- gdotv MCP server: conversational analytics, report and dashboard creation and more, directly from your favourite AI assistant (Claude, ChatGPT, Cursor, VS Code and others). Add https:///mcp as a connector. Setup guide: https://gdotv.com/docs/mcp-server/
- Live refresh of open dashboards, query tabs, connections and query history
- Graph analytics algorithms on graph visualizations (community detection, centrality)
- View the queries generated by the data explorer
- Dashboards and reports: advanced parameters with autocompleted values
- Graph visualization inspection panel groups RDF literal values
CHANGED:
- Upgraded to LadybugDB 0.21.2
- Better performance with many tabs open
- Improved dashboard look and feel
- Updated operating system packages and kernel
FIXED:
- SPARQL query guardrail warnings not highlighted in the query editor
- RDF literal updates on Apache Jena
IMPORTANT - EXISTING CUSTOMERS (2026 versions): The MCP server and live refresh need this AMI version. Running "sudo gdotv-upgrade 3.88.151" on an existing instance updates the gdotv application, but not the web proxy and Keycloak configuration these features depend on. To get them, launch a new instance from this version and move your data and your team's accounts across: https://gdotv.com/docs/aws-marketplace/#performing-an-ami-update
IMPORTANT - EXISTING CUSTOMERS (pre-2026 versions): This appliance generation does not support in-place upgrade from pre-2026 versions: launch a new instance and migrate your data with the built-in gdotv-migrate-import tool. Migration guide: https://gdotv.com/docs/aws-marketplace/#migrating-from-a-legacy-ami-instance
Additional details
Usage instructions
Full step-by-step guide: https://gdotv.com/docs/aws-marketplace/
First boot takes approximately 3 minutes after the instance starts. Then open https://<instance-public-hostname>/ (self-signed certificate warning is expected) and log in as user "gdotv" with the EC2 INSTANCE ID (e.g. i-0123456789abcdef0) as the initial password. You will be required to set a new password at first login. All generated credentials are also stored on the instance in /opt/gdotv/.env.
The full sign-in details (URL, username, initial password) are also printed to the instance's system log once the stack is up (EC2 console: Actions > Monitor and troubleshoot > Get system log).
IMPORTANT: containers on the instance must be able to reach the EC2 instance metadata service for AWS Marketplace license verification. If you customize metadata options, keep HttpPutResponseHopLimit=2 (IMDSv2 HttpTokens=required is supported): aws ec2 modify-instance-metadata-options --instance-id <id> --http-put-response-hop-limit 2 --http-tokens required
Ongoing connections: the software contacts public.ecr.aws only when you run the gdotv-upgrade command to fetch a newer application version; gdotv initiates no other outbound connections.
Existing customers on pre-2026 versions: this is a new appliance generation. Launch a new instance and migrate your data with the built-in gdotv-migrate-import tool (see the guide above). In-place upgrade is not supported.
Resources
Vendor resources
Support
Vendor support
You can contact us at support@gdotv.com for help in setting up your gdotv deployment. Our software is fully documented and can be accessed either at https://gdotv.com/docs or directly on your gdotv instance at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
The ultimate graph database client, compatible with Amazon Neptune, Neptune Analytics, Neo4j, JanusGraph and over 30 more graph databases. Fully compatible with Gremlin, Cypher, SPARQL, GQL and SQL:2023.
Query, visualize, modify and explore your graph data with ease.
Neo4j Aura offers a graph database-as-a-service for uncovering data patterns. Explore flexible pricing and scale your innovation.
The most trusted, secure, and globally deployed graph database. At real-world scale, you get no-compromise performance, reliability, and data integrity.
The most trusted, secure, and globally deployed graph database. At real-world scale, you get no-compromise performance, reliability, and data integrity.
Customer reviews
Maxime the boss
Review
Reviewed on Feb 26, 2025
Review from a verified AWS customer
GdotV is an effective and easy-to-use tool for exploring graph-oriented databases. We have been using it for 2 years now to design, debug and monitor our graph databases. The integration with AWS is a real plus, making it easy to have the tool on an EC2.