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
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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 35 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
AmazonLinux 2023.6.20241010
Deployed on AWS
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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 14 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 |
|---|---|
t3.large Recommended | $0.64 |
t3.2xlarge | $2.56 |
t3.medium | $0.32 |
m5.2xlarge | $3.20 |
m5.xlarge | $1.60 |
m5.large | $0.80 |
t3.xlarge | $1.28 |
m5.4xlarge | $6.40 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance size you run this graph database workbench on. The eight options split into two instance families: t3 sizes (medium, large, xlarge, 2xlarge) and m5 sizes (large, xlarge, 2xlarge, 4xlarge). Within each family, larger instances offer more compute and memory, so the hourly rate rises as you scale up. You choose the instance that matches your workload, and billing tracks actual hours used. There is no upfront commitment; the software runs on your chosen machine and charges accrue per hour.
Top-of-mind questions for buyers
You pay for the gdotv workbench software running on your chosen EC2 instance. It is a client that connects to your existing graph databases. It does not host or include a database itself. You connect it to your own database endpoints, then query, explore, and visualize that data.
Software charges accrue per hour while the instance runs. When you stop the instance, the hourly software charge stops. Stopped instances may still incur underlying AWS storage fees for the attached volume, but the workbench licence meters running hours only.
You pay the hourly rate for whichever instance runs at that time. Switching to a larger t3 or m5 size means the new hourly rate applies from the moment that instance runs. There is no blended rate; you are billed for the active instance's size per hour.
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
ADDED: Added support for RDF and the SPARQL Querying language
UPDATED: Simplified database connection onboarding user experience
BUG FIXES: Fixed autocomplete issues for the Gremlin querying language
Additional details
Usage instructions
(Recommended) For a full step-by-step walkthrough of the setup, please go to https://gdotv.com/docs/aws-marketplace . Your EC2 instance will be deployed with a public hostname that you will access to use G.V(). It will also be configured with EC2 instance connect enabled for ease of access via SSH.
Note that your VPC may be configured with additional restrictions that may prevent its access (inbound VPC security group rules, AWS Network firewall configuration, VPC endpoint policies, etc). If you're unable to access port 443 or 22 of your deployed instance after following the below steps, you should consult with your internal AWS team.
To deploy G.V() from AWS Marketplace, you will need to select the Launch via EC2 Console option during configuration and follow these steps:
-
Ensure the security group rules for inbound traffic enable HTTPS port 443. For convenience during launch process, you can create a new Security Group based on seller recommended settings. For more information: https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html
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(Optional) Make sure to configure an IAM instance profile for your G.V() EC2 instance as described in https://gdotv.com/docs/aws-marketplace/#configuring-the-iam-role-for-the-instance if you're planning to connect to an IAM enabled Amazon Neptune or Neptune graph instance
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Once the instance is running, access via a web browser: http://{instance_url}/ or https://{instance_url} The instance_url is determined by your instance host name or IP. On first login, your credentials are:
User: gdotv Password: {instanceID}
Note that these credentials will allow you to both log into G.V() as well as the gdotv Keycloak realm which serves as your user administration interface.
The instance ID is available in the description of your AMI in your Amazon console. To change your password, see https://gdotv.com/docs/aws-marketplace/#modifying-the-g-v-authentication-credentials
Note that for https access, G.V() Developer generates a self-signed TLS certificate that will not be trusted by your browser by default. To trust the certificate, after opening G.V() Developer on your browser, click on "Advanced", then click on "Proceed to {instance hostname} (unsafe).
You can configure your own TLS certificate for the application by assigning a domain name owned by your organization to the EC2 instance's public IP address, and generate a TLS certificate to be used by G.V() at a specific location on your instance. This process is detailed at https://gdotv.com/docs/aws-marketplace/#configuring-a-tls-certificate
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.
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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.