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    RDFox provided by graph.build

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    High performance knowledge graph and semantic reasoning engine.
    Listing Thumbnail

    RDFox provided by graph.build

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    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

    Delivery method

    Delivery option
    RDFox

    Latest version

    Operating system
    Linux

    Features and programs

    Financing for AWS Marketplace purchases

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    Financing for AWS Marketplace purchases

    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 covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.

    Usage costs (1)

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    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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    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

    The RDFox Console has a new login experience with support for both password-based and OpenID Connect authentication (RD-1620). See Section 12.3 for details of how to configure authentication.

    The 'delta queries' feature (See Section 11.7) used to track changes to a knowledge graph is no longer experimental (RD-2062).

    The dictionary that stores the resources in a data store has been optimized to reduce memory usage (RD-1971). The observed reductions depend heavily on the data set but from our testing 5% is typical and reductions of over 10% have been observed.

    New Triple and Quad table types (triple-table-pi, quad-table-lg-pi and quad-table-sg-pi) have been added. The new table types use smaller indexes and thus consume less memory than their full indexing counterparts (RD-1968). The existing triple-table, quad-table-lg and quad-table-sg table types have been renamed to triple-table-fi, quad-table-lg-fi and quad-table-sg-fi respectively.

    Added an API call and shell command to check the integrity of the server (RD-1962). See Section 16.3.3 and Section 15.2.5.

    Added API support for session-based authentication (RD-1811). See Section 16.2.1.1.2.

    Added support for authenticating external agents with client certificates (RD-2026). See Section 16.2.1.1.3.

    Added new DAY_OF_THE_WEEK() function returning the weekday number (RD-2063). See Section 9.2.

    The server-directory server parameter can now be set to the empty string to explicitly specify that no server directory should be used. This is useful for launching in-memory daemon processes.

    The RDFox Console's SPARQL page now supports downloading result sets of arbitrary size (RD-1961). Downloading, very large result sets may require an increase in the value configured for the query-time-limit endpoint parameter (see Section 19.2).

    The endpoint parameter credentials-passphrase can now be set via the RDFOX_ENDPOINT_CREDENTIALS_PASSPHRASE environment variable (RD-2131).

    ETag values returned by the endpoint now include the content type of the response, if it has one. This improves cache control by browsers. See Section 16.17.1.2.

    Non-printable characters and UNICODE surrogates can no longer be used in names (e.g. data store names, role names, etc.) (RD-1954, RD-1964). As part of this change, RDFox now also validates that the UTF-8 encoding of such names is valid.

    Fixed an issue where RDFox shell variables could be expanded to multiple arguments/tokens within a single command (RD-1951).

    Fixed an issue where RDFox could spuriously report an out of memory error when servicing multiple concurrent REST requests (RD-2035).

    Fixed a crash when attempting to set the persistence data store parameter to a value other than off when the server has no server directory (RD-2081).

    Fixed an apparent hang when certain operations were performed on a data store whose max-threads-used property was set to a value greater than the number of server threads (RD-2079).

    Fixed a hang when casting some xsd:float and xsd:double values to xsd:decimal. It only affects non-zero values that should be rounded to zero (RD-2099).

    Fixed an issue in JRDFox where exceptionally large individual results (e.g. strings longer than 15000 characters), could cause a hang (RD-2100).

    Fixed an issue with the persistence of data stores loaded from one of the two binary formats. (RD-2115).

    Fixed an issue where RDFox over-reported memory usage. If the optional -max-memory server parameter is set to a small value, this could cause the server to incorrectly reach the memory limit (RD-2122).

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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.

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