Open Source vs Proprietary:
What organisations need to know

Meeting IT and business priorities with a hybrid approach
to open source and proprietary solutions

Open source technologies, like Hadoop, R and Python, have been vital to the spread of big data. However, production deployment of these technologies has its own, often unexpected costs and projects are not necessarily succeeding as hoped. However, organisations see clear benefits from both open source and proprietary solutions, with a mixture of the two perceived as delivering the best return on investment.

This report, based on a survey of 300 senior IT and business decision-makers across the UK & Ireland, aims to create a better understanding of the key considerations for open source and proprietary analytics technology, drivers for business transformation and any limitations to success.

Find out:

  • How organisations are currently using open source and proprietary solutions, and future adoption plans
  • What are the perceived benefits/disadvantages of each
  • How a hybrid approach can offer the ideal solution

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*Source: Vanson Bourne

SAS and the Open Ecosystem

SAS software's primary focus is on getting maximum value from analytics. A reliable, open analytics platform underpins that focus. Combining the power of SAS with open source technologies enables you to unify disparate toolsets, eliminate silos, increase productivity, foster collaboration and facilitate business agility.

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