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Boundless Releases Geospatial Platform on the Cloud


Boundless, a provider of open and scalable GIS, is releasing Boundless Server Enterprise as a managed cloud service using the most advanced IT infrastructure available.

With this release, customers are able to take full advantage of the unmatched geospatial technology of Boundless Server Enterprise, all packaged and ready to support the most complex business challenges immediately.

Boundless Server Enterprise is a GIS server for publishing geospatial data as web services, featuring a flexible architecture that enables organizations to reliably publish a range of data and workflows to web apps, desktop clients or mobile devices.

Boundless Server lets users access and edit location data through a number of Open Geospatial Consortium (OGC) services and open formats.

Key advantages of Boundless Server Enterprise as a managed service include:

  • Scalable GIS that works for you. Deliver cost savings by taking the guesswork out of estimating your IT architecture for peak usage. With elastic scalability, availability, security and performance, Boundless provides a cloud-based and pre-configured instance of Boundless Server Enterprise in a world-class managed cloud infrastructure.
  • Focus on business outcomes, not your infrastructure. Rest easy knowing Boundless professionals are managing your geospatial infrastructure, giving you more time to focus on what matters most to you – your business.
  • Flexible Sizing. Choose the best option for your usage needs and business requirements with the ability to easily scale in any direction as your business changes, grows and evolves.
  • Straightforward pricing. Boundless offers a transparent pricing model. No hidden fees and no credits to account for and manage.

Boundless solutions are built on open GIS technology and APIs that generate actionable location intelligence across third-party apps, content services and plugins for enterprise applications.

For more information about this news, visit www.boundlessgeo.com.

 

Reprint from Database Trends and Applications
See original: https://openg.is/2JnKdGC

 

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