Sold by: graph.build
Deployed on AWS
Run SPARQL queries against your virtualized without the need of a Knowledge Graph
Overview
The Graph.Build Virtualizer uses data models to virtualize SQL datasets to enable SPARQL querying against it without the need of a Knowledge Graph.
Highlights
- Fully compatible with Graph.Build Studio
- W3C Semantic Web Standards supported: RDF1.1, SPARQL1.1
- Compatible with all JDBC enabled databases
Details
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Delivery method
Supported services
Delivery option
Container Images
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $2.137 |
Dimensions summary
You pay by the container hour, so billing tracks the time each container runs. This is usage-based pricing with a single dimension and no upfront commitment. The platform runs as containers you deploy in your own environment. Because the components share nothing, you scale the part that is slow by running more of it. Running more containers, or running them longer, raises your hours and your cost. Deploying fewer components, or running them for less time, lowers it. Your total depends entirely on how many container hours you consume.
Top-of-mind questions for buyers
A container hour is one hour of runtime for one deployed container. The platform runs three container types: one authors the model, Transformers run the mappings, and Writers load the graph. Each running container accrues its own hours. Two containers running one hour each equals two container hours.
Yes. The components share nothing, so you deploy only the ones you need and leave out the rest. Running the modelling container without the load containers produces files only. Each deployed container accrues hours separately, so fewer deployed containers means fewer billed hours.
You scale by running more copies of the slow component, since Transformers and Writers hold no state between runs. Each added container runs its own hours and adds to your total. Throughput becomes a scaling decision, and more concurrent containers raise your container hours.
graph.build
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Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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
Container Images
Supported services: Learn more
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
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
- Added DuckDB, Trino, and BigQuery compatability
- Bug Fixes and Security updates
Additional details
Usage instructions
Getting started on AWS guide: https://data-lens-cloudformation.s3.us-east-1.amazonaws.com/Graph.Build+Virtualizer+Usage+Instructions.pdf
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours support@graph.build
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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