Universal Server for Data Spaces & AI Agents

Virtuoso

Loosely coupling AI and data spaces — without compromise.

One engine, governed by you, that lets agents built on MCP, LLMs, and enterprise apps query SQL, knowledge graphs, files, and APIs — harmonized, access-controlled, never duplicated.

Virtuoso data spaces, exploded Exploded view in three layers: tools, skills, agents and applications at the base, Virtuoso as the focal middle layer providing SQL, SPARQL, R2RML, ABAC, context and memory, identity and traces, and on top a data space of SQL tables, RDF graphs, files and APIs held natively in Virtuoso or externally. Nothing is copied. Data SpacesDATABASES · KNOWLEDGE BASES · FILESYSTEMS · APIS VirtuosoSQL · SPARQL · SPASQL · GQLCONTEXT & MEMORY · IDENTITY · GOVERNANCE (ABAC) ConsumersTOOLS · SKILLS · AGENTS · APPLICATIONS Nothing copied. Everything governed. One engine underneath.
MCP
Native Agent Skills for both platform admin and use
ABAC
Governance informed by Agent & User Identity
Tables & Graphs
One Engine, Many Models & Query Languages
HyperData
Hyperlink-based Super-Keys across Silos
Zero‑Copy
Data Stays Put
Why Virtuoso

Why Virtuoso?#

Virtuoso is cross-platform, high-performance, scalable, and secure.

Vectored · Column Store

High Performance

Experience unparalleled speed and efficiency in data processing and queries.

  • Vectored execution
  • Column-wise data storage, with data compression
  • Parallelized SQL query execution
  • Intelligent query optimization
SQL · NoSQL · Linked Data

Universal Connectivity

Connect and integrate diverse data sources including SQL, NoSQL, and Linked Data.

  • Open standards: HTTP, ODBC, JDBC, SQL, SPARQL, GraphQL
  • Linked Data Views over native SQL and external data sources
  • Web services to RDF Linked Data
Replication · ABAC

Scalable & Secure

Built for enterprise-grade scalability and robust security for your critical data.

  • High-availability clustering via replication
  • Network-based query parallelization
  • Distributed transactions with two-phase commit
  • Attribute-based access controls and encryption at rest

Replication clustering, attribute-based access controls, encryption at rest and RDF Views over external sources are Commercial Edition features; see the edition comparison matrix.

Native to the server, not bolted on

One engine, five capabilities converged#

Data Spaces management isn't a feature Virtuoso added on top of a database. A multi-model DBMS, a knowledge base, an HTTP application server, a document/file server, and a data-virtualization layer have shared one transaction manager, one security model, and one query engine since day one — not five products glued together at the API.

RDBMS

Multi-Model DBMS

Relational tables, property graphs, and document collections in one transactional engine — one backup, one security model, no sync job keeping them consistent.

RDF · SPARQL

Knowledge Base / Graph

A native RDF quad store with SPARQL 1.1, built-in inference, and full-text search — not a triple store bolted on beside the database.

VSP · REST · SOAP

HTTP Application Server

An integrated web and application server runs directly against the data engine — pages, REST endpoints, and SOAP services with no separate app-server tier to deploy or patch.

WebDAV

Document / File Server

A built-in, ACL'd, versioned file and document store lives alongside your structured and graph data — queryable, not just hosted.

R2RML · RDF Views

Data Virtualization

External SQL, NoSQL, and API sources map in as virtual tables or RDF Views — federated into the same queryable layer without copying them out of the systems that already own them.

Personas

Built for your role#

Virtuoso Universal Server delivers tailored capabilities for every data professional.

Build smarter apps on a unified data platform

Build and ship applications against SQL, SPARQL, and REST endpoints from a single hybrid data engine with open standards, extensive tooling, and scalable deployment.

Developer: Build smarter apps on a unified data platform
Proof, not promise

What “loosely coupled” gets you in production#

Every claim in the headline maps to a shipped capability — not a roadmap item.

MCP · OpenAPI · Stored Procs

Agent Skills without a rewrite

  • Agents call stored procedures, external APIs, and MCP-enabled systems as composable skills
  • No new integration layer to build or maintain
ABAC · Ontology-Driven

Agent identity, separate from yours

  • Fine-grained access control constrains what an agent can see and do
  • Independent of the human it's acting for
R2RML · RDF Views

Harmonization, not migration

  • Tables, graphs, files, and APIs mapped into one semantic model in place
  • Nothing copied or re-platformed to be queried together
Solid · Self-Sovereign

Session data stays user-owned

  • Session state can dereference to a user's own Pod
  • Agent interactions don't quietly become another system of record
How the coupling stays loose

Three steps, no data movement#

01 — Connect
Attach sources as-is
SQL, NoSQL, RDF, filesystems, and HTTP/ODBC/JDBC endpoints connect where they already live — on-prem or cloud.
02 — Harmonize
Map to one semantic layer
R2RML and RDF Views give every source a shared vocabulary, so a query can span silos without ETL.
03 — Govern & Serve
Expose to agents under ABAC
AI agents, LLMs, and apps query the harmonized layer through SQL, SPARQL, or REST — each call scoped by identity.
Built for your role

The same server, a different entry point#

Five roles, one engine underneath — each gets a different reason to care.

Knowledge Graph Architect

Ship a knowledge graph agents can actually use — native reasoning and identity reconciliation built in, not bolted on.

SELECT ?agent ?scope WHERE { ?agent a ai:Agent ; abac:hasScope ?scope . ?scope abac:grants virt:DataSpace . }

Data Integration Engineer

Map tables and APIs into the graph once, with R2RML, instead of maintaining N point-to-point ETL jobs per consumer.

Governance Practitioner

Enforce ABAC rules once, centrally, and have every SQL, SPARQL, and REST caller — human or agent — obey them identically.

Developer

Query the same harmonized layer through SQL, SPARQL, or GraphQL — pick the query language that fits the app, not the data silo.

Enterprise Architect

Deploy on-prem, or in the cloud via the AWS and Azure marketplaces (pay-as-you-go or bring your own license) — one engine to govern instead of a sprawl of point connectors.

Key features

Key Features & Business Impact#

Discover how Virtuoso's advanced features deliver measurable business value.

featureID
featureLabel
featureDesc
benefits
AI Agent Deployment with Skills from Stored Procedures, OpenAPI, MCP Servers
An AI Agent orchestrates data space interactions: fetches data via SQL procedures, calls external API services for verification, and executes tasks across multiple MCP-enabled systems
Composable, modular AI capabilities; Enterprise-ready automation; Faster adoption; Interoperability
Loose Coupling of AI Agents and LLMs with Data Spaces
An AI Agent consumes customer support tickets from multiple sources (systems-of-record, systems-of-engagement, systems-of-intelligence) and generates automated responses (in multimodal form)
Flexible deployment; Improved ROI on existing assets through AI adoption that's loosely coupled in nature; Rapid and progressive innovation; Scalable and adaptable
Self-Sovereign User Identity Loosely Coupled with AI Agent Identity
Fine-grained, attribute-based access controls determine access to specific data spaces, enabling AI-driven initiatives to remain constrained, thereby protecting sensitive personal or corporate data
Fine-grained access control; Governance & privacy; Personalized experiences without modifying source systems or compromising data privacy and security; User empowerment
Semantic Harmonization of Disparate Data Sources (Data Spaces)
A company queries sales, inventory, and marketing data across multiple systems-of-record (on-premise and cloud) to obtain a single, consistent view of product performance
Faster decision-making; Reduced technical debt; Semantically harmonized insights across silos
Editions

Virtuoso Edition Comparison Matrix#

Compare features across different Virtuoso editions to find the perfect fit for your needs.

featureID
featureLabel
productName
tick
Linked Data Views over Native SQL Data Sources
Open Source
1
Installation Guides

Get Started in Minutes#

Choose your platform and follow our step-by-step installation guides.

Also available via Nexus Repository for Linux environments.

Pricing & Deployment

Flexible Pricing & Deployment#

Choose the deployment model that fits your infrastructure and budget: on-premise (installers or Docker containers, the same licenses), or on any of the three major clouds, each with pay-as-you-go (PAGO) or bring-your-own-license (BYOL) options.

On-Premise (Installers)

Full control: install Virtuoso natively on your own infrastructure (Linux/Unix, Windows or macOS); see the installation guides above.

Personal

For individual use on a workstation.

  • 2 Concurrent Sessions
  • 2 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $8 per month equivalent

$99.99/yr

Add to Cart

Developer

For application development against a wider core count.

  • 5 Concurrent Sessions
  • 8 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $17 per month equivalent

$199/yr

Add to Cart

Project

For project work needing the full workstation core count.

  • 5 Concurrent Sessions
  • 16 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $42 per month equivalent

$499/yr

Add to Cart

Need More?

Tailored to your needs.

  • Unlimited Concurrent Sessions
  • Unlimited CPU Cores
  • Server-Grade Operating Systems
  • Enterprise Support
  • Custom Licensing Terms

Custom

Contact Sales

Prices are those published at virtuoso.openlinksw.com at time of writing. Confirm current pricing before purchase.

On-Premise (Docker Containers)

The same licenses, bring-your-own-license (BYOL), applied to the Docker installation. See the Docker installation guide.

Personal

For individual use on a workstation.

  • 2 Concurrent Sessions
  • 2 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $8 per month equivalent

$99.99/yr

Add to Cart

Developer

For application development against a wider core count.

  • 5 Concurrent Sessions
  • 8 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $17 per month equivalent

$199/yr

Add to Cart

Project

For project work needing the full workstation core count.

  • 5 Concurrent Sessions
  • 16 CPU Core Affinity
  • Linux, Windows, macOS Workstation
  • $42 per month equivalent

$499/yr

Add to Cart

Need More?

Tailored to your needs.

  • Unlimited Concurrent Sessions
  • Unlimited CPU Cores
  • Server-Grade Operating Systems
  • Enterprise Support
  • Custom Licensing Terms

Custom

Contact Sales

Prices are those published at virtuoso.openlinksw.com at time of writing. Confirm current pricing before purchase.

Amazon Web Services

Virtuoso on Amazon Web Services comes in two categories: virtual machines (AMIs) that you run yourself, and a managed SaaS that OpenLink runs for you.

Virtual Machines (AMIs)

Virtuoso as a pre-configured Amazon Machine Image on an instance in your AWS account: pay-as-you-go (PAGO), or bring your own license (BYOL).

30-day free trial

Pay-As-You-Go (PAGO)

Cloud-hosted Virtuoso Enterprise Edition as an Amazon Machine Image: an unlimited license with CPU Affinity pegged to the host instance type, so cost rises with CPU Affinity for an unrestricted number of users or connections.

  • Virtuoso 08.03.3335 on Ubuntu 24.04 (64-bit x86 AMI)
  • $0.348/hour on r5.xlarge (recommended), up to $7.10/hour on x1e.32xlarge
  • 365-day contract: save up to 35%
  • AWS infrastructure costs may apply

From $0.348/hour

AWS Marketplace
AWS Free Tier

Bring Your Own License (BYOL)

Virtuoso as a pre-configured Amazon Machine Image. Pricing and entitlements are managed outside AWS Marketplace: you activate it with a license purchased from OpenLink, and AWS provides the infrastructure.

  • Virtuoso 08.03.3335 on Ubuntu 24.04 (64-bit x86 AMI)
  • License bought outside AWS Marketplace; cancelling the subscription does not affect it
  • AWS infrastructure costs may apply

BYOL

AWS Marketplace

Managed SaaS

Virtuoso SaaS Single Server: OpenLink provisions, operates and supports a dedicated single-server Virtuoso instance. Choose a 12, 24 or 36-month contract. Prices start with the Developer size and rise with larger sizes, all on the AWS Marketplace listing.

New

12-Month Contract

Virtuoso SaaS Single Server: a managed, dedicated single-server Virtuoso instance that you provision and manage from the Virtuoso Buyer Portal, with HTTPS and TLS SQL access, backups and lifecycle operations. OpenLink operates and supports it.

  • Starts with the Developer size; larger sizes are on the AWS Marketplace listing
  • Standard OpenLink support and managed service maintenance included
  • Extra storage $0.50 per GB-month; extra data transfer $0.10 per GB
  • Additional AWS infrastructure costs may apply

From $1,393for 12 months

AWS Marketplace
Save up to 6%

24-Month Contract

The same managed Virtuoso SaaS Single Server on a 24-month contract, paid up front or in installments under your contract terms.

  • Starts with the Developer size; larger sizes are on the AWS Marketplace listing
  • Standard OpenLink support and managed service maintenance included
  • Extra storage $0.50 per GB-month; extra data transfer $0.10 per GB
  • Additional AWS infrastructure costs may apply

From $2,632for 24 months

AWS Marketplace
Save up to 11%

36-Month Contract

The same managed Virtuoso SaaS Single Server on a 36-month contract, paid up front or in installments under your contract terms.

  • Starts with the Developer size; larger sizes are on the AWS Marketplace listing
  • Standard OpenLink support and managed service maintenance included
  • Extra storage $0.50 per GB-month; extra data transfer $0.10 per GB
  • Additional AWS infrastructure costs may apply

From $3,715for 36 months

AWS Marketplace

Prices are those listed on the AWS Marketplace at time of writing; cloud infrastructure charges are separate. Confirm current pricing on the listing before purchase.

Microsoft Azure

Two ways to run Virtuoso on Microsoft Azure: pay-as-you-go (PAGO), or bring your own license (BYOL).

Pay-As-You-Go (PAGO)

Cloud-hosted Pay-As-You-Go edition as a virtual machine: an unlimited license with CPU Affinity pegged to the host VM instance type, so cost rises with CPU Affinity for an unrestricted number of users or connections.

  • Virtuoso 08.03.3335 on Ubuntu 24.04 (virtual machine)
  • $0.348/hour plus Azure infrastructure costs
  • Costs vary by deployment region

From $0.348/hour

Azure Marketplace

Bring Your Own License (BYOL)

Virtuoso delivered as a pre-installed, pre-configured virtual machine. It requires a product license acquired beforehand: entry-level licenses are sold online (see the On-Premise tabs), or contact your account manager.

  • Virtuoso 08.03.3335 on Ubuntu 24.04 (virtual machine)
  • Bring your own license
  • Plus Azure infrastructure costs; these vary by deployment region

BYOL

Azure Marketplace

Prices are those listed on the Azure Marketplace at time of writing; cloud infrastructure charges are separate. Confirm current pricing on the listing before purchase.

Google Cloud

Two ways to run Virtuoso on Google Cloud: pay-as-you-go (PAGO), or bring your own license (BYOL).

Pay-As-You-Go (PAGO)

Virtuoso as a pay-as-you-go virtual machine on Google Compute Engine. The license fee follows the number of vCPUs of the VM you instantiate, and the configuration can be changed when deploying.

  • Virtuoso on Ubuntu, single VM (x86_64)
  • License fee shown for the default 2 vCPU, 8 GB VM (n2d-standard-2)
  • Infrastructure about $52.88/month on top, for a total of about $306.92/month (Central US, 50 GB SSD, after sustained use discount)
  • New Google Cloud customers may be eligible for a free trial

$254.04/month

Google Cloud Marketplace

Bring Your Own License (BYOL)

Virtuoso as a virtual machine on Google Compute Engine. A valid license is required: you buy and manage it with OpenLink Software, and it is priced by concurrent connections and the logical processors of the environment.

  • Virtuoso on Ubuntu, single VM (x86_64)
  • License fee varies; Google does not collect it
  • Infrastructure about $52.88/month for the default 2 vCPU, 8 GB VM (Central US, 50 GB SSD, after sustained use discount)
  • New Google Cloud customers may be eligible for a free trial

BYOL

Google Cloud Marketplace

Prices are those listed on the Google Cloud Marketplace at time of writing; cloud infrastructure charges are separate. Confirm current pricing on the listing before purchase.

FAQ

Frequently Asked Questions#

Find answers to common questions about Virtuoso.

category
question
questionName
answer
AI Layer
What is Virtuoso?
Virtuoso is a combined multi-model DBMS and HTTP-based Application Server platform that supports critical open standards for providing applications with loosely-coupled access to disparate data sources. It is cross-platform, high-performance, scalable, and secure. It also includes native reasoning and inference for identity reconciliation and data wrangling across disparate data sources.
AI Layer
What is a Large Language Model (LLM)?
A Large Language Model (LLM) is an advanced multi-lingual natural language processing technology, with an uncanny understanding of sentence syntax and semantics. It can produce responses, in conversational mode, based on user inputs.
AI Layer
How does Virtuoso integrate with Large Language Models (LLMs)?
Virtuoso uses LLMs as a natural language based conversational UI/UX into its modern multi-model data layer comprising structured data represented as tables (n-tuples) or RDF-based entity relationship graphs (3-tuples) which are also generally referred to as Knowledge Graphs. Integration occurs in loosely-coupled fashion, courtesy of Linked Data Principles where hyperlinks functioning as powerful pointers usable for creating data source names from SQL and/or SPARQL query templates for LLM fine-tuning. This capability extends to the following functionality realms: <ul> <li> - Reasoning & Inference: Built-in and/or custom reasoning and inference that scales massively for conceptual data analysis, integration, and management</li> <li> - Data Virtualization: Powerful virtual database core that extends its data reach to HTTP-, ODBC-, and JDBC-accessible data source across private and/or public networks. Once attached, this data is harmonized semantically using a variety of mapping techniques based on existing open standards e.g., the RDF-based RDF to Relational Mapping Language commonly referred to as R2RML.</li> <li> - Data Crawling: Unique native ability to crawl data from across a public or private network as part of its query solution production pipeline in very fine-grained form i.e., to the level of query language variables and constants.</li> </ul>
AI Layer
What are the benefits of using Virtuoso and Large Language Models (LLMs) together?
Some of the benefits of using Virtuoso and Large Language Models (LLMs) together are: - You can access and integrate data from any source, including web pages, databases, APIs, files, etc. - You can query and explore data using natural language in a manner that's transparently mapped to declarative languages such as SQL and/or SPARQL - You can generate natural language responses that are informative, relevant, and engaging - You can create content such as summaries, reports, articles, etc. based on data - You can crawl a web of documents and/or a semantic web of data en route to discovering new data sources and entity relationship types - You can learn from LLM suggestions and insights to improve your productivity and knowledge, at levels unrivaled to date.
AI Layer
Is the OpenLink AI Layer (OPAL)'s core functionality consumable via APIs to enable alternative front-ends and developer ecosystem ramp up?
Yes, here's the YAML document that describes the API using OpenAPI terms using pattern: https://cname/chat/api/openapi.yaml/json. For the URIBurner instance it is [https://linkeddata.openlinksw.com:8443/chat/api/openapi.yaml/json](https://netid*qa.openlinksw.com:8443/chat/api)
AI Layer
How would the OpenLink AI Layer (OPAL) be integrated into a Web Site?
The application consist of an HTML based Single Page App (comprising HTML, Javascript, and CSS). The client's core engine comprises Javascript using Websockets and fetch() which can easily be re*used in other Single Page Apps. Skinning can be achieved via CSS, retaining the same client core for conversational interaction handling.
AI Layer
Is there an example of an alternative UI skin for the OpenLink AI Layer (OPAL)?
Yes, see https://id.myopenlink.net/DAV/home/smalinin/Public/ch/index_main.html
AI Layer
Post successful login, is the OpenLink AI Layer (OPAL)'s preferred storage URL being looked up (de*referenced) for user*controlled storage of session transcripts?
Yes, since the AI Layer (OPAL) is a Single Page Application that leverages Solid for loose coupling of backend data storage i.e., you session data can end up in your preferred Personal Data Space or Pod.
AI Layer
How do quickly obtain a historic list of OpenLink AI Layer (OPAL) users?
Use the [following SPARQL Query](https://netid*qa.openlinksw.com:8443/sparql/?default*graph*uri=&query=select+%3Fs+from+%3Curn%3Achat%3Ausers%3E+%7B+%3Fs+foaf%3Anick+%3Fn+%7D&should*sponge=&format=text%2Fhtml&timeout=10000): SELECT ?s FROM <urn:chat:users> { ?s foaf:nick ?n }
AI Layer
How do I change OpenLink AI Layer (OPAL) access mode from broadly open to restricted by OpenAI API Key?
Run the following Virtuoso Registry command: registry_remove('openai*chat*app*key')
AI Layer
How do I remove all or specific OpenLink AI Layer (OPAL) session logs?
Use the following SQL commands: DELETE FROM OAI.DBA.CHAT_SESSION WHERE CS_CHAT_ID = '{session*id}' ; DELETE FROM OAI.DBA.CHAT_SESSION_INFO WHERE CSI_CHAT_ID = '{session*id}' ;
AI Layer
How do I deal with the following OpenLink AI Layer (OPAL) error. [rate_limit_exceeded] Rate limit reached for 10KTPM*200RPM in {openapi*id*for*your*org} on tokens per min. Limit: 10000 / min. Please try again in 6ms. Contact us through our help center at help.openai.com if you continue to have issues.
Attempt starting a new session, wait for a new usage window to open up, or change the foundation model from GPT*4 to one of the GPT*3.5*turbo variants.
AI Layer
How to I initialize an OpenLink AI Layer (OPAL) session scoped to a specific fine-tuning configuration?
Send a prompt/request with null prompt and session id set to 'system+{name of the file without json suffix}' then new session will be created using content of the json document as the initial prompt
AI Layer
What does the following OpenLink AI Layer (OPAL) error mean? [rate_limit_exceeded] Rate limit reached for 10KTPM*200RPM in organization org*6ormwBGOH0Q7YMMsE3aaaaa on tokens per min. Limit: 10000 / min. Please try again in 6ms. Contact us through our help center at help.openai.com if you continue to have issues.
This error means that you have reached the maximum number of requests or tokens that you can send to the OpenAI API in one minute, according to your current plan and organization¹². The error message shows the following information: * _rate_limit_exceeded_ is the error code that indicates that you have exceeded the rate limit. * _10KTPM*200RPM_ is the name of your plan, which stands for 10,000 tokens per minute and 200 requests per minute. * _org*6ormwBGOH0Q7YMMsE3aaaaa_ is the ID of your organization, which is a group of users who share the same API key and rate limit. * _tokens per min_ is the metric that you have exceeded, which is the number of tokens that you have sent to the API in one minute. A token is a unit of text that represents a word or a punctuation mark. * _Limit: 10000 / min_ is the limit that you have exceeded, which is the maximum number of tokens that you can send to the API in one minute under your current plan. * _Please try again in 6ms_ is the suggested action that you can take to resolve the error, which is to wait for 6 milliseconds before sending another request to the API. To avoid getting this error in the future, you can try the following tips: * Pace your requests and avoid making unnecessary or redundant calls. * If you are using a loop or a script, make sure to implement a backoff mechanism or a retry logic that respects the rate limit and the response headers². You can read more about our rate limiting policy and best practices here. * If you are sharing your organization with other users, note that limits are applied per organization and not per user. It is worth checking the usage of the rest of your team as this will contribute to this limit. * If you are using a free or low*tier plan, consider upgrading to a pay*as*you*go plan that offers a higher rate limit.
CxOs
What is OpenLink Virtuoso?
OpenLink Virtuoso is a high-performance, scalable, and multi-model database platform that provides support for various data management tasks, including storing, querying, and analyzing structured and unstructured data.
CxOs
What are the key features of OpenLink Virtuoso?
OpenLink Virtuoso offers a range of features, including support for SQL, RDF, SPARQL, XML, JSON, and Web Services. It provides built-in support for virtualization, data integration, and advanced analytics, making it a comprehensive solution for data management.
CxOs
How does OpenLink Virtuoso handle data integration?
OpenLink Virtuoso facilitates data integration by providing a virtualization layer that allows you to access and query data from multiple sources as if it were in a single unified database. It supports various data formats and protocols, enabling seamless integration of diverse data sources.
CxOs
Can OpenLink Virtuoso handle large-scale data processing?
Yes, OpenLink Virtuoso is designed to handle large-scale data processing. It utilizes parallel processing and optimized query execution techniques to efficiently process queries on large datasets, ensuring high performance and scalability.
CxOs
How does OpenLink Virtuoso support data security?
OpenLink Virtuoso offers robust data security features, including access control mechanisms, encryption for data at rest and in transit, and support for industry-standard authentication and authorization protocols. It allows you to define fine-grained access policies to protect sensitive data.
CxOs
Does OpenLink Virtuoso support semantic technologies?
Yes, OpenLink Virtuoso has extensive support for semantic technologies. It includes a native RDF store and supports SPARQL queries for querying and manipulating semantic data. It enables the creation and exploration of knowledge graphs and the integration of semantic metadata.
CxOs
Can OpenLink Virtuoso be used for data analytics?
Absolutely, OpenLink Virtuoso provides advanced analytics capabilities. It supports SQL-based analytics functions and allows you to perform complex analytical queries on your data. It also integrates with popular analytics tools and frameworks for in-depth data analysis.
CxOs
Does OpenLink Virtuoso support data virtualization?
Yes, data virtualization is a core capability of OpenLink Virtuoso. It enables you to create virtual views of data from disparate sources without physically moving or replicating the data. This allows for real-time access to integrated data and simplifies data management.
CxOs
How can OpenLink Virtuoso enhance data interoperability?
OpenLink Virtuoso promotes data interoperability by supporting various data formats, protocols, and standards. It enables seamless integration and exchange of data between different systems and applications, facilitating collaboration and data sharing across the organization.
CxOs
What resources are available for learning and support with OpenLink Virtuoso?
OpenLink provides comprehensive documentation, tutorials, and guides for OpenLink Virtuoso. Additionally, there is an active user community and professional support services available to assist with any questions or issues that may arise during implementation and usage.
CxOs
What are the key benefits of Virtuoso?
Virtuoso offers a secure and high-performance multi-model platform (supporting both relational tables and graphs) for data access, integration, and management. It leverages existing open standards such as SQL, SPARQL, GraphQL, HTTP, and RDF.
CxOs
What are the key use cases for Virtuoso?
Virtuoso is instrumental in AI-enhanced modernization of customer support, knowledge management, data productization and monetization, data governance and security, and de-siloing data to drive digital transformation.
CxOs
What makes Virtuoso unique?
Virtuoso stands out due to its high performance, scalability, and sophisticated data security features.
CxOs
How does Virtuoso aid digital transformation?
Virtuoso aids digital transformation by providing an advanced platform that virtualizes heterogeneous line-of-business data silos. It constructs knowledge graphs using Linked Data principles, wherein hyperlinks act as powerful super-keys, overcoming common data challenges like high velocity, volume, variety, veracity, and sensitivity to changes.
CxOs
Why is Virtuoso important?
Virtuoso is a versatile multi-model and multi-purpose platform that enhances data access, integration, and management. It effectively breaks down data silos by integrating disparate data sources and offers native, robust, high-performance, and scalable management for operating on data organized as SQL-accessible relational tables and SPARQL-accessible knowledge graphs. Additionally, it supports advanced data governance and monetization functionality through fine-grained attribute-based access controls.
CxOs
What are typical Virtuoso Use Cases?
Virtuoso excels at harmonizing data silos through a semantic layer, creating a versatile platform for various applications. Key use cases include: AI-driven Customer Support, Enterprise Knowledge Management, Modern Data Governance, Data Productization, and Data Management and Integration.
CxOs
What is a Virtuoso Knowledge Graph?
A Virtuoso Knowledge Graph is a semantic entity-relationship graph constructed with hyperlinks that function as Data Source Names (DSNs). These links enable lookup access to both native data stored in SQL-accessible relational tables or SPARQL-accessible entity relationship graphs, and to external data sources through established access standards such as HTTP, ODBC, or JDBC.
CxOs
How does Virtuoso impact AI usage?
Virtuoso enhances AI applications by providing high-performance, scalable, and secure Knowledge Graphs. These graphs act as a potent fine-tuning complement, using loosely coupled predefined query templates for data, information, and knowledge lookups. This structure significantly boosts the accuracy of AI outputs, minimizing—or potentially eliminating—the effects of hallucinations.
CxOs
How does Virtuoso handle the replication of RDF Data (Graphs)?
Virtuoso incorporates replication of RDF data as part of its broader replication capabilities. It supports the creation of publications, which can include one or more named graphs identified by an IRI.
CxOs
Can I create multiple publications as an organizational feature of RDF data (Graphs) replication?
No, all RDF data (Graphs) intended for publication must be grouped into a single publication. However, subscribers have the flexibility to subscribe to one, several, or all of the named graphs within a single publication.
General
How do I create a change-sensitive structured-data document from a SPARQL Query?
Using the SPARQL Query Service interface, perform the following steps: 1. Using the Virtuoso WebDAV Filesystem, a new folder and set the DET Folder type to Dynamic Resources, and set access privilege permissions accordingly; 2. Go to your Virtuoso SPARQL endpoint, select 'Save resultset to WebDAV folder' option and select your newly created DET folder.
General
What is the Virtuoso strategy to scale? Is it possible to start small and then add servers if needed?
Yes. You start with Single-Server which scales up to more than 100 billion RDF triples and then migrate to the Elastic Cluster Edition if your scalability demands exceed what's offered by single-server instances.
General
How do I use R2RML to map RDB to RDF with Virtuoso?
You can use the HTML-based R2RML Wizard or upload existing R2RML documents for processing using Virtuoso's native R2RML processor
General
How do I attach ODBC- or JDBC-accessible Tables to Virtuoso?
Any ODBC- or JDBC-accessible table can be attached to Virtuoso using SQL Attach Statements or the visual HTML-based Conductor Admin Interface
General
How do I Generate and Deploy RDF-based Linked Data from Tables in a Relational Database?
Virtuoso's HTML-based Admin Interface ('The Conductor') provides a one-click interface for generating RDF-Views that are deployed using Linked Data principles from relational database tables.
General
How do I use Virtuoso to deploy Linked Data to the Web?
By leveraing its built-in support for HTTP and deployment of RDF using Linked Data Principles. This boils down to loading RDF and/or attaching native or external 3rd party DBMS hosted tables and then exposing to interaction endpoints for SPARQL, Faceted Search & Browsing, or Hyperlinks that provide fine-grained entity names
Licensing
What types of licenses does OpenLink Virtuoso offer?
OpenLink Virtuoso offers two primary types of licenses : Open-Source and Commercial. The open-source version is covered under the GNU General Public License (GPL), whereas the commercial license comes with more advanced features and professional support.
Licensing
Can I use the open-source version of OpenLink Virtuoso for commercial purposes?
Yes, you can use the open-source version of OpenLink Virtuoso for commercial purposes. However, it's important to understand that it is subject to the terms and conditions of the GNU General Public License (GPL), which requires you to release any modifications you make to the source code.
Licensing
What are the advantages of the commercial license over the open-source license?
The commercial license of OpenLink Virtuoso offers several advantages over the open-source version, including access to more advanced features like advanced security, custom reasoning & inference, high-availablity replication, and professional support. It also lifts some restrictions imposed by the GPL license, allowing for OEM-related customization if required.
Licensing
How is the price of the commercial license determined?
The pricing for the commercial license of OpenLink Virtuoso is based on several factors including the required features, the number of servers, and the nature of support services. Please reach out to OpenLink directly for a custom quote.
Licensing
Is there a trial version of the commercial license available?
Yes, OpenLink usually offers trial versions of their commercial licenses for potential customers. The trial version is typically available for a limited time and allows you to evaluate the product before purchase.
Licensing
If I start with the open-source version, can I later upgrade to the commercial license?
Yes, you can upgrade from the open-source version to the commercial version at any time. You will need to reach out to OpenLink directly to facilitate the switch and ensure a smooth transition.
Licensing
What kind of support does the commercial license offer?
The commercial license offers professional support which can include bug fixes, feature enhancements, performance tuning, and general consulting on best practices. The specifics of support can vary depending on your agreement with OpenLink.
Licensing
Can I modify the source code of the commercial version of OpenLink Virtuoso?
Modification of the source code of the commercial version of OpenLink Virtuoso is typically restricted. You'll need to review the terms of your license agreement or consult with OpenLink directly for specific guidelines.
Licensing
What happens when my commercial license expires?
If your commercial license expires, you will no longer have access to the advanced features, performance improvements, and support services that come with the commercial version. You may have the option to renew or downgrade to the open-source version.
Licensing
Are there any discounts available for educational or non-profit organizations?
OpenLink may offer discounts for educational institutions and non-profit organizations, but it's best to contact them directly for specifics related to these cases.
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