Sold by: OpenLink Software
Deployed on AWS
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Latest DBpedia 2025-06 Snapshot deployed via a Virtuoso 08.03.3334-pthreads instance as of October 28th 2025.
Overview
DBpedia Snapshot: Latest DBpedia Snapshot derived from Wikipedia
Virtuoso 08.03.3334-pthreads as of October 28th 2025. This is a maintenance release that includes enhancements and minor bug fixes across:
- New OpenLink AI Layer (OPAL) for conversational interaction with DBpedia
- 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
- R2RML Processor
This release further strengthens Virtuoso as a foundation for advanced AI solutions, including Smart Agents and Assistants. It enables modern conversational interfaces to software functionality, whether native to Virtuoso or integrated via third-party Web Services described by OpenAPI-compliant JSON or YAML documents. This powerful functionality supports use cases such as AI Agents delivering robust Customer, Partner, and Prospect support, informed by SQL-, SPARQL-, and GraphQL-accessible data spaces as part of RAG or GraphRAG processing pipelines, whether local or external to a Virtuoso instance.
Highlights
- Preconfigured DBpedia instance ready for immediate use
- High-Performance, Secure, and Scalable DBpedia Knowledge Graph derived from Wikipedia content.
- Exploit SPARQL and/or SQL interactions with a Knowledge Graph comprising a good chunk of mankind's knowledge as it exists in Wikipedia
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 15 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 | $0.435 |
m5zn.2xlarge | $0.87 |
m5zn.6xlarge | $1.739 |
x1e.xlarge | $0.435 |
m5zn.3xlarge | $0.87 |
x1e.32xlarge | $8.873 |
m3.xlarge | $0.435 |
r4.4xlarge | $1.739 |
m4.xlarge | $0.435 |
r5.2xlarge | $0.87 |
Dimensions summary
You pay by the hour for the EC2 instance type you run this software on. Billing is usage-based, so you are charged only for the time the instance runs. The dimensions map to different EC2 instance families and sizes, spanning m3, m4, m5zn, r4, r5, and x1e types. These differ mainly in CPU cores and memory. Larger sizes offer more compute and memory for the preloaded dataset. You can start and stop the instance without terminating it. Choose the instance size that fits your performance and workload needs.
Top-of-mind questions for buyers
Each hourly unit is one running EC2 instance of the size you pick. The instance comes preloaded with the DBpedia 2025-06 dataset and a preinstalled database server. You get a static copy of the data that you can query and change, but it does not track live updates from the source.
You pay only for the time the instance runs. You can start and stop the database without terminating its host instance. When the instance is stopped, software charges stop accruing. Underlying AWS storage fees for the attached disk may still apply while data is retained.
Instance sizes differ in CPU cores and memory. Sizes with more memory and cores handle the preloaded dataset faster. The database ships tuned for minimal memory, so you should adjust buffer settings to match your chosen instance. Pick a size that fits your query load and dataset needs.
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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
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 comprising the new DBpedia Snapshot 2025-12 release deployed via Virtuoso 08.03.3335 instance.
Virtuoso releated enhancements include:
- ACME Protocol Support for simplified HTTPS setup and use for the native HTTP Server functionality realm
- Native GraphQL Support -- adds support for Mutations and Subscriptions
- Database Encryption at Rest
- 64-Bit Prefixes that enable scaling single DBMS instances up to 100 Billion+ Triples
- Enhanced "Anytime Query" Functionality that fully controlled via HTTP response codes
Additional details
Usage instructions
Once this AMI is successfully initialized, you should follow the instructions outlined in the document at: http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtPayAsYouGoEBSBackedAMIDBpedia2015 .
Resources
Vendor resources
Support
Vendor support
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
By Franz Inc
AI generated from product descriptions
Knowledge Graph Database Engine
Virtuoso 08.03.3334-pthreads DBMS with SPARQL and SQL query processing capabilities for knowledge graph interactions
Conversational AI Integration
OpenLink AI Layer (OPAL) enabling conversational interaction with DBpedia and support for RAG/GraphRAG processing pipelines with AI Agents and Assistants
Data Query and Transformation
SPARQL Query Processor, R2RML Processor, and Data Transformation Middleware Layer for semantic data processing and conversion
Search and Discovery Capabilities
Faceted Search and Browsing functionality with HTML-based Admin Interface for knowledge graph exploration and management
Authentication and Security
Virtuoso Authentication Layer (VAL) providing secure access control and authentication mechanisms for the knowledge graph instance
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
Distributed Database Architecture
Horizontally distributed multi-modal Graph, Vector, and Document database supporting large-scale enterprise Knowledge Graph deployments with FedShard and high-availability architecture.
Query and Reasoning Languages
Support for SPARQL 1.1, SHACL, RDFS++, OWL2-RL, and Prolog rules enabling semantic queries, symbolic reasoning, and inference capabilities across knowledge graphs.
Data Security Model
Triple Attribute Security model applying granular controls directly to data elements including triples, annotations, embeddings, and text fragments with ACID compliance and multi-master replication.
Natural Language Interface
GraphTalker agentic natural-language interface enabling repository exploration, schema inspection, query generation and refinement without manual SPARQL writing, with API integration capabilities.
Vector and Document Integration
VectorStore capabilities connecting enterprise documents with Knowledge Graphs, enabling combined querying of text fragments, embeddings, and graph relationships for Retrieval-Augmented Generation workflows.
Standard contract
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