G.V() is a graph database client, perfect for developers looking to start on a graph project or support an existing one. G.V() is compatible with Amazon Neptune's Gremlin, Cypher and SPARQL API, and a wide variety of RDF & Labeled Property Graph databases.
It provides state-of-the-art development tools with advanced autocomplete, syntax checking and graph visualization.
With G.V() you can: [-] Connect to your database in less than a minute, [-] Write and run graph queries in several languages against your database, [-] View your graph database's schema in 1 click, [-] Visualize query results across a variety of formats such as graph visualization, JSON and tabular, [-] Explore your data interactively with the no-code graph database browser, [-] Debug Gremlin queries step by step, and access query profiling tools for Gremlin, Cypher and SPARQL.
G.V() is a user-friendly web application designed for developers and data analysts to make day-to-day graph database development and management operations quicker and easier. Boost your productivity with G.V()'s wealth of tools to analyze, modify and query your graph database.
G.V() connects to as many graph databases as you need, allowing you to centrally manage them all without the need for separate tools. You can also create queries and parameterized reports, and organize them into folders so that multiple users can access and run them concurrently.
G.V() supports a wide variety of graph database technologies and we frequently add support for new ones, meaning you'll only need G.V() to interact consistently with all your databases.
The query editor in G.V() provides state-of-the-art functionality for both the Gremlin and Cypher query languages. With it you'll benefit from:
Syntax error validation and code formatting
Autocomplete suggestions based on your graph data schema
Intuitive highlighting and code colouring features
Embedded official Gremlin, Cypher and SPARQL language documentation to support query writing
Query generation from natural-language text prompts
Unique query debugging facilities to trigger a query step by step and inspect the resulting traversals
Query profiling and query plan explanation with just one click
The most advanced graph database query editor available
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 or Cypher queries, your non-technical users have a range of actionable reporting tools at their fingertips.
Finally, G.V() lets you to explore the results of your database queries across multiple formats
JSON
Graph
Tables
These formats give you flexibility on how to analyze your data. Query result data can also be exported for external consumption.
Highlights
Write Gremlin, Cypher and SPARQL 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
Improve team collaboration with a centralized view of your graph data schema, which is automatically loaded and visible as an entity-relationship diagram. Connect as many database endpoints as you like on G.V().
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.
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.
G.V(): Graph Database Client for Amazon Neptune, Neo4j and many more
You pay by the hour based on the AWS EC2 instance size you run this graph database client on. Two instance families are available. The t3 options (t3.medium, t3.large, t3.xlarge, t3.2xlarge) are general-purpose burstable instances. The m5 options (m5.large, m5.xlarge, m5.2xlarge, m5.4xlarge) are general-purpose instances with steady performance. Within each family, larger sizes add more CPU and memory, so the hourly rate rises with capacity. Software runs the same across all sizes; you pick the instance to match your workload. Billing is usage-based, charged only for hours run.
Top-of-mind questions for buyers
What does one hour of billing cover, and am I charged when the instance is stopped?
You pay for each hour the EC2 instance runs the software. A stopped instance stops software charges, since billing meters running time only. Underlying AWS storage fees may still apply while an instance is stopped. The rate depends on the instance size you selected.
How do I choose between a t3 and an m5 instance size for this client?
The t3 sizes are burstable general-purpose instances suited to lighter or intermittent query work. The m5 sizes deliver steady performance for heavier, continuous workloads. gdotv itself is not demanding; it runs on small instances unless you visualize large data volumes. Match the size to your data and usage.
Does running gdotv send my graph data to the vendor, adding any separate charge?
No. gdotv runs locally on the instance within your own network, and the vendor has no access to your data. There is no separate data-processing charge. Your only cost is the hourly rate for the EC2 instance size you run, billed per hour of use.
gdotv.com+1
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
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
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.
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:
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.
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
You can contact us at support@gdotv.com for help in setting up your G.V() deployment.
Our software is fully documented and can be accessed either at https://gdotv.com/docs or directly on your G.V() instance at
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.
Use this appliance to manage 5G cloud networks as part of the NETSCOUT Service Assurance Platform for Service Providers. Designed to support 5G Non-Standalone (NSA) and 5G Standalone (SA) Architectures.
The MYD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MYD09GA).
Known Issues
Prior to the Aqua MODIS launch, Band 6 exhibited several anomalous detectors. Band 6 performance degraded seriously after launch and presently a majority of the Band 6 detectors are non-functional. Science users should read and use the non-functional detector flags and decide for themselves the optimum manner to handle non-functional detector "gaps" for their products. For complete information please refer to the MODIS Characterization Support Team (MCST) website
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.