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    RDFox provided by graph.build

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    Sold by: graph.build 
    Deployed on AWS
    High performance knowledge graph and semantic reasoning engine.

    Overview

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    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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    Supported services

    Delivery option
    RDFox

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Pricing

    RDFox provided by graph.build

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    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.

    Usage costs (1)

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    Dimension
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    Cost/unit/hour
    Hours
    Container Hours
    $4.11

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    We do not currently support refunds, but you can cancel at any time.

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    Usage information

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    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

    Federated queries are now supported in accordance with the SPARQL 1.1 Federated Query specification.

    The existing GET / and GET /datastores//info REST APIs, which provide information about the whole server or a particular data store respectively, now support the OpenMetrics 1.0 response format, enabling monitoring of RDFox servers using Prometheus or compatible systems (RD-2377). To improve the clarity and consistency of metrics for the newly supported format, the properties returned by these APIs (and by the serverinfo extended shell command and the equivalent JRDFox and C/C++ APIs) have been renamed and their meanings documented (see Section 16.5.7). Java APIs have additionally been updated to include enum types, allowing for further client side calculation/aggregation using these values.

    Added a new server parameter http-remotes to enable integration with external HTTP(S) endpoints that require authentication. See Section 4.3.3 for details (RD-2374).

    Added an EXPERIMENTAL built-in function, SEMSIM, for semantic similarity search over text embeddings (RD-2437). See Section 9.2.4 for details.

    Changes to HTTP request logging (RD-2431 and RD-2421):

    Enhanced the endpoint's extended logging format (ELF) to optionally record request start events, configurable via the new elf-logger-recorded-events server parameter.

    Added new elf-logger fields: x-timestamp (the timestamp at log creation) and x-request-state (the request state at time of logging, e.g., "request_start", "request_finish", "request_error").

    Updated the default value of the elf-logger-fields parameter from date time cs-method cs-uri-stem sc-status sc-bytes time-taken to x-timestamp c-ip cs-method cs-uri-stem cs(RDFox-Request-ID) sc-status sc-bytes time-taken x-protocol-error .

    Introduced a new request logging format, elf-json, which records logs in JSON. The fields and events logged by this logger are configured with the same parameters (elf-logger-fields and elf-logger-recorded-events) as the existing elf format.

    See documentation for these changes in Section 19.2.

    One can now extract and merge statistics for individual queries, enabling troubleshooting of query plans without access to user data (RD-2405).

    Added an endpoint parameter, localhost-only to specify whether RDFox should listen on all network interfaces or only on the loopback interface (RD-2406). See Section 19.2 for details.

    Deletions and additions in a transaction now cancel out precisely during reasoning (RD-1985).

    All APIs now support a way to determine whether an update should be handled using incremental or "from scratch" reasoning (RD-1987).

    ODBC and PostgreSQL data source connectors now support connections to databases containing unsupported data types. Such data can then be cast or converted during tuple table construction (RD-2455).

    The functionality of the /transaction REST API key was merged into ; moreover, the /transaction key was deprecated and will be removed in future (RD-2353).

    The existing allowed-schemes-on-load server parameter has been renamed to allowed-url-schemes-on-import. This parameter is used to control which schemes are allowed when importing data from external sources (RD-2374).

    Fixed an issue where numeric (Integer, Decimal and Double) values equal to the lower numeric limit (e.g. Integer -2^63) were wrongly reported as outside the supported range (RD-2388).

    Fixed an issue where JRDFox Rule object creation may introduce additional expression nesting, leading to unexpected results when listing or deleting rules (RD-2388).

    Resources

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    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.

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    Overview

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    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

    Contract

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