Sold by: OpenLink Software
Deployed on AWS
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Pre-configured Virtuoso Multi-Model DBMS (Enterprise Edition) that provides immediate access to a modern, high-performance, and secure platform for knowledge graphs, database management, and data integration.
Overview
Cloud Hosted Pay-As-You-Go edition of a High-Performance, Scalable, Secure, Platform for Data Access, Integration, Virtualization, and Native Data Management (Relational Tables and RDF Graphs).
This particular cloud edition includes an unlimited license with CPU Affinity pegged to the host AMI Instance Type. Meaning, costs increase on a CPU Affinity basis for an unrestricted number of users (or connections).
Highlights
- Effortlessly launch Virtuoso - a fully integrated, multi-model DBMS with zero build overhead. Immediate deployment enables frictionless onboarding and rapid value realization.
- Unlock high-performance, secure, and standards-compliant multi-model (tables and graphs) data access, integration, and management with enhanced support for SQL, SPARQL, GraphQL, ODBC/JDBC, HTTP, and MCP - fortified with fine-grained, attribute-based access controls.
- Leverage advanced Data Virtualization, Replication, and Integration capabilities - delivering the critical infrastructure for developing, deploying, and using Large Language Model (LLM)-based AI Agents and Assistants that are loosely coupled with Data Spaces (databases, knowledge bases/graphs, filesystems, and APIs).
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 Focal
Deployed on AWS
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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 30 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. 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 | Cost/hour |
|---|---|
r5.xlarge Recommended | $0.348 |
x1e.32xlarge | $7.10 |
x1e.xlarge | $0.348 |
m4.xlarge | $0.348 |
r5.2xlarge | $0.696 |
x1e.16xlarge | $4.733 |
m3.xlarge | $0.348 |
r4.4xlarge | $1.392 |
m4.10xlarge | $3.48 |
r4.2xlarge | $0.696 |
Dimensions summary
You pay by the hour for each running instance, with no upfront commitment. Pricing follows the EC2 instance type you choose across the m3, m4, r4, r5, and x1e families. Each family offers several sizes, from large through 32xlarge. Larger sizes carry more CPU and memory and bill at a higher hourly rate. The software license is bundled into the hourly charge and covers unrestricted users, with CPU capacity tied to the instance size. To scale up, you select a bigger instance; to reduce cost, you choose a smaller one.
Top-of-mind questions for buyers
The included license covers an unlimited number of users and connections. Your hourly cost is not driven by user count. Instead, CPU affinity is tied to the instance type you select, so the size of the instance sets both capacity and price.
The software charge meters running instance-hours. When you stop or power off the instance, the hourly software charge stops accruing. Underlying AWS storage for the attached volumes may still incur separate fees while the instance is stopped, since that storage remains provisioned.
You select a different EC2 instance type from the m3, m4, r4, r5, or x1e families. Larger sizes add CPU and memory and bill at a higher hourly rate. After changing size, adjust the buffer settings in the configuration file to match available memory.
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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
This is a maintenance release that includes enhancements and minor bug fixes across:
- Virtuoso DBMS Engine Core
- Web Document, Data, and Application Server
- SPARQL Query Processor
- Data Transformation Middleware Layer
- Faceted Search and Browsing
- Virtuoso Authentication Layer (VAL)
- HTML-based Admin Interface
- OpenLink AI Layer (OPAL) Add-on
This release continues to enhance Virtuoso as a foundation for advanced AI solutions (e.g., Smart Agents or Assistants) aimed at mitigating hallucinations (imprecision) through Retrieval Augmented Generation (RAG), driven by secure and high-performance coupling with internal and/or domain-specific knowledge graphs using SQL, SPARQL, SPASQL, or GraphQL.
Additional details
Usage instructions
Once this AMI is successfully initialized (which can take 5 minutes or more) you can start interacting with Virtuoso via its HTML based Admin Interface (at: http://<ec2-dns-name>/conductor), or via ssh as user "ubuntu". For additional usage information goto: http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtPayAsYouGoEBSBackedAMI .
Resources
Vendor resources
Support
Vendor support
https://shop.openlinksw.com/support_system/customers . Typical response times within 1 business day; higher SLA available for additional cost.
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.
Updated weekly
By OpenLink Software
By metaphacts GmbH
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AI generated from product descriptions
Multi-Model Database Management
Supports both relational tables and RDF graphs within a single integrated database management system
Query Language Support
Provides support for SQL, SPARQL, GraphQL, ODBC/JDBC, HTTP, and MCP protocols for data access and integration
Data Virtualization and Replication
Includes advanced data virtualization, replication, and integration capabilities for managing distributed data sources
Access Control
Implements fine-grained, attribute-based access controls for secure data management
LLM Integration Infrastructure
Delivers infrastructure for developing and deploying Large Language Model-based AI Agents and Assistants with loose coupling to data spaces including databases, knowledge graphs, filesystems, and APIs
Graph Database Compatibility
Supports Amazon Neptune and any SPARQL 1.1 compliant graph database
RDF Data Management
Provides UI for data loading, ontology library, SPARQL query interface, query catalog, and data quality dashboard for RDF data and ontology management
Web Component Framework
Includes pre-built Web components for search, exploration, authoring, editing, visualization, and graph data interaction that can be configured and combined for rapid development
Knowledge Graph Lifecycle Support
Supports authoring, curating, editing, exploring, integrating, searching, and visualizing of Knowledge Graphs
FAIR Data Compliance
Implements FAIR Data principles for Knowledge Graph management and enterprise data governance
Graph Storage Architecture
Cloud-native platform with graph storage capabilities for organizing and querying interconnected enterprise data
Data Virtualization
Virtualization technology enabling efficient scaling and access to data across multiple sources without physical data movement
AI-Powered Integration
Artificial intelligence capabilities integrated into the data integration solution for enhanced query processing and data understanding
Multi-Model Data Support
Support for multiple data models and applications simultaneously within a unified data fabric architecture
Legacy System Compatibility
Ability to modernize data infrastructure while maintaining compatibility with existing legacy systems and applications
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