Sold by: graph.build
Deployed on AWS
High performance knowledge graph and semantic reasoning engine.
Overview
RDFox is the first market-ready knowledge graph designed from the ground up with reasoning in mind. RDFox is a main-memory data store that allows users to efficiently manage graph-structured data represented according to the RDF data model and query that data using the SPARQL 1.1 query language.
RDFox also enables intelligent information processing by providing means for representing and reasoning with domain knowledge in the form of rules and ontologies. Rules in RDFox can be represented using an extension of the Datalog language, whereas ontologies can be represented in the standard OWL 2 language and in the Semantic Web Rule Language, SWRL.
Oxford Semantic Technologies' RDFox product is supported on the AWS Marketplace by Data Lens Labs Ltd.
This offering can only be used for non-production environments. For questions related to full production licenses via a Private Offer, please contact us at https://www.data-lens.com/#contact .
Highlights
- Best-in-class query performance via the W3C Semantic Web Standards SPARQL query language.
- Reasoning over OWL ontologies and rules.
- Incremental materialisation over ontologies and rules.
Details
Sold by
Delivery method
Supported services
Delivery option
RDFox
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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
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 | $4.11 |
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
RDFox
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
Fixed a bug in the ODBC data source sampling functionality, where sampling of an ODBC data source which contains a NULL value in a column of STRING type could cause RDFox to print a section of its memory as output, and then crash (RD-2486). See the security advisory RD-2486 - 5.9 (Medium) for more details.
Fixed an OWL axiom import bug where properties declared as owl:AnnotationProperty were not fully removed from subsequent OWL conversion stages (RD-2513).
Fixed a bug in Solr data source tuple tables where repeating document keys across multiple columns could produce incorrect results (RD-2515).
Fixed an issue where delta queries could fail to produce a snapshot when the snapshot included data from named graphs that the user executing the query does not have permission to access (RD-2519).
Fixed an issue where delta queries restored from persistence could fail to produce deltas until their execution plan is updated (RD-2533).
Additional details
Usage instructions
Documentation can be found at - https://data-lens.atlassian.net/wiki/spaces/DLD/pages/1010728961/RDFox+for+Data+Lens+with+AWS+Marketplace
Resources
Vendor resources
Support
Vendor support
UK business hours support please allow 24 hours https://www.data-lens.com/#contact . We do not currently support refunds, but you can cancel at any time.
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 graph.build
By metaphacts GmbH
By OpenLink Software
Top
10
In Databases & Analytics Platforms
Top
100
In Application Development
Top
100
In Data Integration, Business Intelligence & Advanced Analytics
AI generated from product descriptions
SPARQL Query Language Support
Supports SPARQL 1.1 query language for querying graph-structured data according to W3C Semantic Web Standards with best-in-class performance.
Ontology and Rule Reasoning
Enables reasoning over OWL 2 ontologies and Semantic Web Rule Language (SWRL) for intelligent information processing and domain knowledge representation.
Datalog-based Rule Representation
Supports rule representation using an extension of the Datalog language for expressing domain knowledge and logical constraints.
Incremental Materialization
Provides incremental materialization capabilities over ontologies and rules to efficiently compute and update derived facts.
In-Memory RDF Data Store
Main-memory data store designed to efficiently manage and query graph-structured data represented according to the RDF data model.
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
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
Standard contract
No
No
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.