Managed Data Platform Using Open Source Technology

Requirements
  • Headquartered In: USA and Canada
  • Company Size: 500+ Employees
  • Industries: All
  • Titles: IT, Cloud, Infrastructure
  • Job Level: Influencers and Decision Makers
Overview

Building and managing data layers are notoriously complex, taking up valuable time and resources. We solve these problems for organizations by designing and managing data layer technologies using entirely Open Source applications. In the cloud or on-premise, we provide continuous availability and the unlimited ability to scale, allowing businesses to easily manage their data.

As organizations expand, so does the amount of data they create. The need to easily design, deploy, and manage the operations of data layers – and allow organizations to easily disseminate their massive amounts of data – is only growing more complex by the day. We provide 24/7 reliability at scale, allowing our customers to confidently develop and deploy the next generation of web-scale applications needed for their organization.

Top reasons our community cites for adopting or considering this solution:

  • Extremely complex to design, implement, deploy and operate a data layer solution
  • Upfront costs of building your own data layer solution are prohibitive 
  • Extensive tech expertise required in numerous areas, including architecture, solution and operations
  • The time required to build your own data layer solution can easily take multiple years with no guarantee of meeting all your company’s data needs
  • Organizations often need their data stored or managed outside their local markets due to poor regulatory environments or the need to be closer to clients

You must be directly involved in your company’s evaluation process for solutions like this, or in the management chain for people who do. You must be a hands-on user of the prospective solution or in the management chain of users. Please do not register for programs that are an unlikely fit. Your credibility and ours depend on it.

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