GET STARTED

Get started with metaphactory for free and accelerate your Knowledge Graph journey!

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Your trial options

DOCKER

Run anywhere with any graph database

  • Deploy your solution wherever you want
  • Can be used with any graph database
  • Optional: graph database included

AWS MARKETPLACE

Run in the cloud with any graph database

  • Deploy your solution on AWS Cloud
  • Can be used with any graph database, incl. Amazon Neptune
  • Please note: for AWS-based systems, AWS infrastructure charges do apply

metaphactory is validated on

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Other benefits

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Immediate access after registration
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“Getting Started” tutorial included
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14-day trial period
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Full & exclusive control over your instance
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Bring your own data or use our tutorial dataset
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Free support during trial period

What happens after my trial?

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NEED MORE TIME?

We understand that sometimes it just takes a little longer. To extend your trial simply contact us here »

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WORK IN ACADEMIA?

Apply here for a one-year trial for non-production, non-commercial projects.

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WANT TO GO INTO PRODUCTION?

We have a smooth process in place to get your system into production - contact us »

Speed up knowledge democratization with our Accelerator Package

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The metaphacts Accelerator Package combines our low-code platform with a series of trainings and individual consulting and allows you to:

» Embed diverse user groups into the agile, iterative Knowledge Graph app building process
» Deliver a first MVP of your knowledge graph-driven app in just a few days
» Reduce the time-to-market for your graph-driven app from 12 months to 4 weeks

Try our online demo

Don't want to run your own system? Try our hosted demo system to experience metaphactory first-hand and without any installation.

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metaphactory public demo system

 

Experience metaphactory with the free and open Wikidata dataset! The metaphactory demo instance runs the latest metaphactory version. It showcases key features for search and visualization, as well as federation with additional datasets (such as sensor or weather data), machine learning algorithms and similarity search functionalities (e.g., on chemical structure similarity).

 

Get started with these examples: