Sold by: metaphacts GmbH
Deployed on AWS
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Low-code, FAIR Data Platform * Knowledge Graph Management * Rapid Application Development * End-user Oriented Interaction * Use with Amazon Neptune or any SPARQL 1.1 graph database * License for production use
Overview
Low-code, FAIR Data Platform * Knowledge Graph Management * Rapid Application Development * End-user Oriented Interaction * Use with Amazon Neptune or any other SPARQL 1.1 graph database * License for production use *
metaphactory is a low-code, FAIR Data Knowledge Graph platform designed to ease onboarding into the world of Enterprise Knowledge Graphs. metaphactory runs on top of any SPARQL 1.1 graph database and offers capabilities and features to support the entire lifecycle of dealing with Knowledge Graphs. With metaphactory, authoring, curating, editing, exploring, integrating, searching, and visualizing your Knowledge Graph become easy, fast and intuitive.
metaphactory's generic approach based on open standards offers great flexibility in different usage scenarios and across various industries, such as Engineering & Manufacturing, Pharma & Life Sciences, Finance & Insurance, Business, and Cultural Heritage & Humanities. Try our demo system at wikidata.metaphacts.com or visit metaphacts.com/product to learn more about metaphactory.
This AMI-only deployment option offers maximum flexibility. It is set up for users who already have a graph database running, such as Amazon Neptune or any other SPARQL 1.1 compliant database. The license is suitable for production use where users or applications consume metaphactory services (API, SPARQL editor, search, authoring or visualizations).
Highlights
- Knowledge Graph Management - metaphactory makes working with RDF data, SPARQL queries, and ontologies easy and straightforward: UI for data loading, ontology library, SPARQL query UI and query catalog, data quality dashboard and more.
- Rapid Application Development - metaphactory provides Web components for search, exploration, authoring & editing, visualization and interacting with graph data; the components can be set up and combined in minutes for rapid application development.
- End-user oriented interaction with Knowledge Graphs - metaphactory leverages the advantages of the Knowledge Graph for end users by providing intuitive interfaces for drug discovery, supply chain optimization, library management, and many more.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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 | Cost/hour |
|---|---|
m5.large Recommended | $24.86 |
t3.medium | $24.86 |
t2.2xlarge | $24.86 |
t2.medium | $24.86 |
t3.2xlarge | $24.86 |
m5.xlarge | $24.86 |
m5.12xlarge | $24.86 |
t2.large | $24.86 |
m5.24xlarge | $24.86 |
t3.large | $24.86 |
Vendor refund policy
For the hourly licensed AMI, metaphacts does not offer refunds, you may 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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
You can access the application via a browser at http(s)://Public_DNS_(IPv4)_of_EC2_instance which should prompt you for login. To log in, use the user "admin" and ID of the EC2-instance as password, e.g. "i-12345...". To connect to the operating system, use SSH, the username "ec2-user" and the key you provided during setup. A detailed guide on how to configure your instance can be found here: https://help.metaphacts.com/resource/Help:AWSDeploymentGuide
Resources
Support
Vendor support
Support is included with metaphactory. Contact us at support@metaphacts.com to submit your request. We also offer a full range of professional services to build domain-specific Knowledge Graph applications, incl. consulting for ontology modeling, data transformation & integration, data quality assurance, data & ontology visualization, rapid application development, and end-user oriented UI design, as well as RDF & SPARQL trainings and workshops. Contact us at info@metaphacts.com to learn more.
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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By metaphacts GmbH
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By Franz Inc
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SPARQL Query Support
Supports SPARQL 1.1 compliant graph databases including Amazon Neptune with integrated SPARQL query UI and query catalog functionality
Knowledge Graph Management
Provides UI for RDF data loading, ontology library management, data quality dashboard, and knowledge graph curation capabilities
Web Component Framework
Offers reusable web components for search, exploration, authoring, editing, visualization, and graph data interaction that can be configured and combined for rapid development
Low-Code Development Platform
Enables rapid application development through pre-built components and intuitive interfaces without requiring extensive custom coding
FAIR Data Compliance
Implements FAIR Data principles for knowledge graph management with support for data accessibility, interoperability, and reusability standards
Graph Database Architecture
Flexible property graph data model with support for Cypher query language and GraphQL for graph-powered applications
Security and Access Control
End-to-end data encryption, VPC isolation with dedicated infrastructure, role-based access control with granular database security, GDPR and CCPA compliance
High Availability and Reliability
99.95% uptime SLA with self-healing architecture, multi-AZ distributed cluster, ACID compliance, and fully managed automated backups
Automated Management and Scaling
Zero administration provisioning in minutes, on-demand scaling, automated service upgrades with no maintenance windows, available across all regions
Developer Tools and Visualization
Built-in graph visualization tools, monitoring capabilities, and extensible procedures for functionality enhancement
Multi-Modal Database Architecture
Horizontally distributed database supporting Graph (RDF), Vector, and Document (JSON, JSON-LD) data types for scalable Knowledge Graph and Neuro-Symbolic AI applications.
Query and Reasoning Languages
Support for SPARQL 1.1, SHACL, RDFS++, OWL2-RL, and Prolog rules enabling comprehensive querying and reasoning capabilities across knowledge graphs.
Granular Data Security Framework
Triple Attribute Security mechanism providing row-level access controls at individual triple and text fragment level, with security annotations embedded within data elements themselves.
Retrieval Augmented Generation for LLMs
RAG capabilities that ground Large Language Model outputs in fact-based knowledge graphs to reduce hallucinations and ensure reliable information for critical decision-making.
Graph Visualization with RDF-Star Support
Integrated Gruff v9 visualization tool capable of illustrating RDF-Star annotations on graph edges, including scores, weights, temporal aspects, and provenance information.
Standard contract
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