METAPHACTORY NOW AVAILABLE ON AWS MARKETPLACE

metaphactory is available on AWS Marketplace for AMI-based deployment under different licensing models. metaphactory can be deployed on AWS Marketplace on top of Amazon Neptune or any other SPARQL 1.1 compliant database.

Lincensing models available on AWS Marketplace:

  • Production license
    Suitable for production use where users or applications consume metaphactory services (API, SPARQL editor, search, authoring or visualizations).
    Get it here »
  • Non-production license
    Suitable for all 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.
    Get it here »



All AMI images use Amazon Linux 2, which is the preferred operating system to run metaphactory on AWS and supported with metaphactory 2.x and newer.

METAPHACTORY FOR AMAZON NEPTUNE
Your Platform for Enterprise Knowledge Graphs on Amazon Neptune

metaphactory

metaphactory is the end-to-end Knowledge Graph platform for Knowledge Graph management, rapid application building and end-user oriented interaction. metaphactory makes authoring, building, curating, editing, integrating, linking, searching, and visualizing your Knowledge Graph easy, fast and affordable.

Amazon Neptune

Amazon Neptune is a fast, reliable and scalable graph database service. Amazon Neptune is able to query RDF data using the SPARQL query language with the speed and simplicity of a graph database, while benefiting from the scalability, security, durability, and availability of an enterprise-grade service built on AWS.

metaphactory is Amazon Neptune ready

and works on-top of this fully managed graph database service

metaphactory for Amazon Neptune

Exploring Knowledge Graphs on Amazon Neptune using metaphactory
- Learn how it works -

Read this AWS blog post to learn how you can get started with knowledge graphs using metaphactory and Amazon Neptune, and without any prior knowledge of RDF or SPARQL. The blog post explains how to:

  • deploy an Amazon Neptune stack with metaphactory as the client application in one step using a CloudFormation template,
  • load RDF datasets to Amazon Neptune using metaphactory,
  • explore the loaded data graph and interactively build graphical visualizations using metaphactory, and
  • query the knowledge graph, and save and organize searches for later use in metaphactory.
KEY ADVANTAGES OF METAPHACTORY

Knowledge Graph Management

  • Graphical SPARQL Endpoint UI for easy querying and managing of saved queries in a query catalog
  • Authoring of ontology and instance data for better model management and data quality assurance
  • User and access control mechanisms for fine-grained security

Rapid Application Building

  • Declarative components for end-user interaction, which can be set up and combined in minutes, allow for fast and agile building of applications
  • "Query as a Service" - Dynamic REST services makes metaphactory a powerful middleware layer to third party applications
  • metaphactory is a full-fledged Linked Data platform, which allows fast data integration and linking

End-user Oriented Interaction

  • Navigation, exploration, and visualization of Knowledge Graphs in an end-user friendly way
  • Authoring and editing for end users
  • Everything with a standard Web browser

Knowledge Graph engineers, who administrate and oversee the Knowledge Graph, benefit from easier data management with metaphatory.

Application engineers benefit from metaphactory through fast and rapid application building.

End users profit from the Knowledge Graph technology without being exposed to any complexity, but enjoy the user-friendly interfaces and experience. They easily find the answers and data they are looking for.