Twin Central - Build an Enterprise-wide Digital Twin Asset Model that connects semantic meta-data from operational, engineering, transactional meta data sources into a single source of truth.
Twin Central - intuitive industrial digital twin builder that provides semantic asset modeling, mapping and management from operational, engineering and transactional metadata sources. A simple approach to create and manage an asset-centric, single source of truth and semantic data model across the enterprise. Twin Central can create digital twin data models that map, connect, link, store, and synchronize relationships.
Highlights
Semantic enterprise asset data modelling
Connect operational, engineering and transactional metadata sources.
Combine asset meta data, models and hierarchies from historians/SCADA and business systems
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 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.
Twin Central uses usage-based pricing tied to one running instance type. You pay hourly for the t2.2xlarge server size that hosts the software. Billing accrues for each hour the instance runs, so your cost scales with how long you keep it active. There are no separate tiers or add-on dimensions to choose from. This single option covers the software that creates a semantic data model linking industrial assets and their metadata. To estimate your total, multiply the hourly rate by your expected running hours.
Top-of-mind questions for buyers
What compute resources do I get with the t2.2xlarge instance?
The t2.2xlarge is an AWS EC2 instance size with 8 virtual CPUs and 32 GB of memory. The software runs on this single server, and your hourly charge pays for one running instance of this size.
Am I charged when the instance is stopped or paused?
Software charges accrue only while the t2.2xlarge instance runs. If you stop the instance, the hourly software charge stops. Stopped instances may still incur underlying AWS storage fees, but the software meters running time only.
Is this pay-as-you-go, or do I commit to a fixed term?
This is usage-based billing with no upfront commitment. You pay by the hour for each hour the t2.2xlarge instance runs. Costs rise and fall with your running time, which suits variable or short-term workloads.
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Vendor refund policy
Refund for any unused portion of the contract
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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
Support data integration of operational data sources.
Additional details
Usage instructions
Usage instruction:
Launch the EC2 from AMI
Login via RDP Port 3389 via TPC using the AWS provided credentials (via EC connect)
Please follow these steps to get your new Twin Central system configured and up and running quickly.
Click on the "Read Me First" con and read the instructions
Accordingly configure according to your network and architecture
Connect to your systems and applications (steps in "Read Me First")
Standard Service Level Support: L3. SLA Goals: 12h time to first response, 24h time to resolution within business hours 9-5pm PST.
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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