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    metaphactory for any graph database (AMI, non-production license)

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    Deployed on AWS
    Free Trial
    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 development, sandbox and staging use

    Overview

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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 development, sandbox and staging 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 Amazon Neptune or 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 cases where you want to utilize the full metaphactory feature set but where metaphactory is not exposed as a service to end users or applications. Common scenarios include development, staging, sandbox or training systems.

    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

    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.

    metaphactory for any graph database (AMI, non-production license)

     Info
    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 (17)

     Info
    Dimension
    Cost/hour
    m5.large
    Recommended
    $13.03
    t2.xlarge
    $13.03
    t3.xlarge
    $13.03
    m5.4xlarge
    $13.03
    c5.xlarge
    $13.03
    c5.4xlarge
    $13.03
    c5.2xlarge
    $13.03
    t3.2xlarge
    $13.03
    t2.2xlarge
    $13.03
    t2.medium
    $13.03

    Vendor refund policy

    For the hourly licensed AMI, metaphacts does not offer refunds, you may cancel at any time.

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    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) .

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    Usage information

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    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.

    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 to configure your instance can be found here: https://help.metaphacts.com/resource/Help:AWSDeploymentGuide 

    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.

    Product comparison

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    Accolades

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    Top
    100
    In Application Development
    Top
    10
    In ML Solutions, Databases, Data Analytics
    Top
    100
    In Analytic Platforms

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    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
    Graph Database Technology
    Fully-managed graph database service supporting flexible property graph data model with native Cypher query language
    Security Architecture
    Enterprise-grade security with end-to-end data encryption, advanced role-based access control, and VPC isolation capabilities
    High Availability Infrastructure
    Multi-AZ distributed cluster architecture with 99.95% availability SLA and self-healing capabilities
    Developer Toolkit
    Integrated tools for graph visualization, monitoring, and extensible functionality with GraphQL support
    Data Management
    Automated service upgrades, on-demand scaling, and fully managed backup system with ACID compliance
    Multi-Modal Database Architecture
    Horizontally distributed database supporting Graph, Vector, and Document data models with multi-modal query capabilities
    Advanced Security Framework
    Triple Attribute Security mechanism providing granular access controls and data-level security for sensitive enterprise environments
    Retrieval Augmented Generation
    Native support for RAG techniques to ground Large Language Model outputs with factual knowledge and reduce AI hallucinations
    Natural Language Processing
    LLMagic functions enabling natural language querying, reasoning, and automated ontology/taxonomy generation
    Knowledge Graph Visualization
    Integrated graph visualization tool supporting RDF-Star annotations with edge descriptions and comprehensive graph exploration capabilities

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    0 ratings
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    0 AWS reviews
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    1 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Martin Kuenzle

    Allows domain experts who aren't software developers to create domain models

    Reviewed on Apr 16, 2024
    Review provided by PeerSpot

    What is our primary use case?

    We use the solution to monitor vulnerabilities. I use metaphactory to create semantic data as part of our data architecture. We're building data products, lifting data to be used internally for better products. It's mainly used for managing metadata of existing data, including data models, lineage, ownership, and data contracts.

    What is most valuable?

    metaphactory is a central tool for implementing these data products. We're considering it for pharmaceutical modeling and connecting to graph databases. It's the only product our company uses with Graph DB.

    The most valuable feature is graphical modeling, which allows domain experts who aren't software developers to create domain models. It provides good support. These valuable features enable domain experts to work with the tool and create their own models.

    What needs improvement?

    For improvements, I'd like to see more maturity in the product, especially regarding enterprise vendor lock-in. The whole area isn't mature enough yet. I think it will develop over time. More competitors are coming up now. I'd like to see better integration with specific vendors who specialize in managing data products. We need more standards beyond the W3C standards from the semantic web that have been around for twenty-five years.

    For how long have I used the solution?

    I have been working with the product for two years. 

    What do I think about the stability of the solution?

    I've never had issues with the tool's stability. I would rate it as eight out of ten.

    What do I think about the scalability of the solution?

    I rate metaphactory's scalability as eight out of ten. It's pretty scalable and can handle large amounts of data. We don't have a month of data but three months' worth. For our use case, it's sufficient, but there are other cases where they might need to process much more data. We currently have four customers using metaphactory, and they are enterprise businesses.

    How are customer service and support?

    I haven't personally had experience with their technical support, but I haven't heard any complaints either.

    How was the initial setup?

    Regarding the initial setup, I'd rate it a seven out of ten, where one is difficult and ten is easy. It's pretty easy to set up. I'm not directly responsible for the setup, but I think there might be some complexities with identity and access management, federated access integrations, and external use cases. However, I'm not a 100 percent sure about these issues.

    What's my experience with pricing, setup cost, and licensing?

    The product is expensive. 

    What other advice do I have?

    My advice for others considering metaphactory is to use it if they want an easy-to-use tool. While there might be other tools that are more feature-complete for advanced scenarios, metaphactory is a really good choice for standard scenarios. They have good support, graphical visualizations, and many capabilities. You don't need a trained specialist to use it, making it useful for domain experts.

    I rate the overall solution a seven out of ten. 

    Which deployment model are you using for this solution?

    On-premises
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