Sold by: gdotv
Deployed on AWS
Free Trial
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.
Overview
gdotv 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 gdotv's wealth of tools to analyze, modify and query your graph database.
gdotv 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. gdotv supports a wide variety of graph database technologies and we frequently add support for new ones, meaning you'll only need gdotv to interact consistently with all your databases.
The query editor in gdotv provides state-of-the-art functionality for several query languages, including GQL, Cypher, Gremlin, SPARQL, SQL:2023 and many more. 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 gdotv 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 gdotv'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: gdotv 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 graph queries, your non-technical users have a range of actionable reporting tools at their fingertips.
Finally, gdotv 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 gdotv 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. Build interactive dashboards from your queries.
- 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 gdotv.
- Navigate, explorer and modify your graph data interactively with the graph database visualization feature
Details
Sold by
Delivery method
Supported services
Delivery option
gdotv Enterprise on Amazon ECS (Fargate)
gdotv Developer
Latest version
Operating system
Linux
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 10 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 | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $1.00 |
Dimensions summary
This listing uses one usage-based dimension billed by Container Hours. You pay for each hour the container runs, so your cost scales with how long you keep it active. There are no tiers, seats, or upfront commitments. The meter simply tracks runtime hours and totals them on your bill. This gives you a single pay-as-you-go rate tied directly to consumption. If you run the container longer, you pay more; if you run it less, you pay less. You can stop usage at any time to stop accruing charges.
Top-of-mind questions for buyers
A Container Hour measures each hour the software container runs, no matter how much data you process inside it. The meter counts runtime, not users, queries, or database connections. It runs on standard compute; the documentation notes the software runs on a small virtual machine with 1 vCPU and 1GB RAM.
Charges accrue only while the container runs. When you stop the container, the meter stops totaling hours and software charges stop. You can start and stop as needed to control cost. Note that underlying AWS resources, such as storage, may still incur their own separate fees while stopped.
The platform connects to labeled property graphs, RDF triplestores, and graph query engines. It supports query languages including Gremlin, Cypher, SPARQL, GQL, and SQL:2023. Your Container Hours cover this connection and query capability regardless of which database type you connect to.
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
gdotv Enterprise on Amazon ECS (Fargate)
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
3.82.150
Additional details
Usage instructions
-
Launch the product using the provided CloudFormation template at https://us-east-1.console.usvm.9mmj.com/cloudformation/home#/stacks/quickcreate?templateUrl=https://gdotv-cloudformation.s3.us-east-1.amazonaws.com/templates/gdotv-ecs-3.82.150.yaml&stackName=gdotv-enterprise The stack creates a VPC, an Amazon ECS cluster running gdotv on AWS Fargate, an Amazon EFS file system for its database and a Network Load Balancer. Deployment takes about 10 minutes.
-
Get the access URL and credentials from the CloudFormation stack: a. AccessUrl (stack output): the HTTPS address of your gdotv instance b. The initial application password: stored in AWS Secrets Manager as <stack name>/gdotv-user-password (see the GdotvUserPasswordSecretArn stack output)
-
Sign in. Open the access URL in a web browser (the TLS certificate is self-signed, so expect a browser warning) and sign in with: a. User name: gdotv b. Password: the value of the gdotv-user-password secret
For detailed usage instructions, including deployment and operation manuals, refer to our official documentation at https://gdotv.com/docs/aws-marketplace-ecs/
Support
Vendor support
For support queries, contact us at support@gdotv.com . For documentation, deployment instructions and operations instructions, please use the learning resources links below.
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
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
Neo4j Aura is a fully managed, always-on graph database-as-a-service (DBaaS) that helps organizations uncover hidden patterns and relationships across connected data. Built for modern applications and AI, it enables teams to create knowledge graphs, power GraphRAG and agentic AI, and support use cases such as fraud detection, customer 360, product recommendations, and supply chain optimization. With flexible, pay-as-you-go pricing, AuraDB makes it easy to scale graph-powered innovation on AWS.
Ultipa Cloud is a fully managed graph database as a service (DBaaS) built for real-time deep link analytics on complex, highly interconnected datasets. It provides full support for ISO GQL and uses a high-performance computing engine to deliver sub-second graph traversals at scale. With a pay-as-you-go pricing model, Ultipa Cloud offers a scalable solution for individuals and organizations of all sizes.
Transforms semi-structured data including XML, JSON, CSV, XLSX, and ODS into RDF or Labelled Property Graph formats for knowledge graph and graph database applications.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.