Graph database

Organizations today are seeking more sophisticated ways to model contextual data and complex hierarchies. Graph database solutions help companies extract value from their data, gain transparency, and reach smarter business decisions.

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metaphacts

metaphactory by metaphacts is a platform for knowledge graph management, rapid application development, and user-oriented interaction on top of Amazon Neptune. It helps companies build knowledge graphs and applications for a variety of use cases, including semantic data cataloging and supply chain optimization. metaphactory runs on top of your on-premises, cloud, or managed graph database and supports the entire knowledge graph lifecycle.

metaphactory for Amazon Neptune features include:

  • Declarative web components for search, exploration, authoring/editing, and visualization
  • Tools and user interfaces for Resource Description Framework (RDF) data, SPARQL Protocol and RDF Query Language (SPARQL) queries, and data quality rules
  • Reusable frontend components and backend services for rapid application development
  • Ontologies for knowledge graph management

How it works

Additional resources from metaphacts

Siemens Gas and Power

The gas turbines of Siemens Gas and Power are used in different types of environments and customer-specific configurations. Managing a wide variety of spare parts and configurations for each turbine is a challenge. metaphactory enabled Siemens to rapidly build a turbine knowledge graph and visualize the connection of similar parts across the fleet. This allowed them to identify and manage spare parts efficiently, saving up to 1500 hours of manual effort per year.

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The key advantage of metaphactory was that we could easily visualize our data during development for early feedback from the business allowing data quality improvements, and fast and target-focused development of our data model and application.

Paul Zolnowski, Section Lead - Post Documentation, Siemens Gas and Power

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