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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
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Delivery method
Supported services
Delivery option
RDFox
Latest version
Operating system
Linux
Deployed on AWS
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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.
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Delivery details
RDFox
Supported services: Learn moreÂ
- 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
Added a data source type lucene for integrating with Apache Lucene (RD-2270). See Section 7.1.3 for details.
Added a data source type SQLite for integrating with SQLite (RD-2181). See Section 7.1.4.2 for details.
The dictionary that stores the resources in a data store has been optimized to reduce memory usage (RD-1984). Moreover, XSDDateTime and XSDDuration resources are now stored in a more compact format (RD-1974).
The RDFox Console has been redesigned to improve usability (RD-1683).
The C and C++ APIs are no longer EXPERIMENTAL (RD-2214).
The endpoint has been modified to ensure that it remains responsive even when the server is under heavy load (RD-2205).
The code for querying a data source as part of a SPARQL query has been rewritten to improve performance by batching calls to the external source (RD-1416).
Added a new server parameter persistence.snapshot-restore-mode controlling how new snapshots are restored by an instance using file-sequence persistence (RD-2301). See documentation of this parameter within Section 4.3 for details.
Replaced the SPARQL ORDER BY implementation to provide consistent performance across all Operating Systems (RD-2167).
RDFox server directory files are now stored in a versioned subdirectory (RD-2348) and include human-readable file headers (RD-2275 & RD-2276). This addresses a previous issue where version upgrades could result in files being created outside the server directory.
The data store parameter init-resource-capacity was removed.
The init mode now requires a channel endpoint parameter to be explicitly supplied.
The implementation of Solr data sources has been updated to handle larger queries (RD-1915). This change introduces a persistence incompatibility that is not handled by RDFox's persistence upgrade functionality. If you have a persistent server with Solr data sources registered, you will need to deregister them and then compact the data store before upgrading to this version.
Fixed a bug in the ODBC data source, where if the ODBC driver miss-reported the width of a column, data within that column could be improperly truncated during transmission (RD-2339).
Fixed a bug where extreme XSDDuration values could overflow during parsing, causing the stored duration to be incorrect (RD-2344).
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+MarketplaceÂ
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
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By OpenLink Software
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AI generated from product descriptions
Knowledge Graph Engine
High-performance main-memory data store for graph-structured data using RDF data model
Query Language Support
Native implementation of SPARQL 1.1 query language with advanced performance capabilities
Semantic Reasoning
Supports reasoning with domain knowledge through Datalog language extensions and OWL 2 ontologies
Rule Processing
Enables intelligent information processing using Semantic Web Rule Language (SWRL) and rule representation
Data Representation
Efficient management of graph-structured data with incremental materialization over ontologies and rules
Graph Database Compatibility
Supports integration with Amazon Neptune and SPARQL 1.1 compliant graph databases
Knowledge Graph Management
Provides UI for RDF data loading, ontology library, SPARQL query interface, and data quality dashboard
Web Component Framework
Offers pre-built web components for search, exploration, authoring, editing, and visualization of graph data
Low-Code Platform
Enables rapid application development with configurable and combinable graph data interaction components
Standards Compliance
Implements open standards for flexible knowledge graph management across multiple industry domains
Multi-Model Database Support
Supports both relational tables and RDF graph data models with native query capabilities
Query Language Compatibility
Enables querying using SPARQL and SQL database query languages
Data Virtualization
Provides advanced data virtualization, replication, and integration functionality
Performance Architecture
Columnar database design with high-performance processing capabilities
Security Framework
Secure platform with unrestricted user connections and CPU affinity-based configuration
Standard contract
No
No
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