- What We Do
- Solutions Overview
- Use Cases
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Our mission is to reinvent data infrastructure so IT can focus on serving the business rather than managing complexity. To remove the distinction between data center, cloud, and edge environments. And to change the paradigm by bringing apps to the data instead of data to the apps.
Data is no longer confined to the data center – it is massively fragmented within and across clouds, as well as the edge. To cope with this complexity, data infrastructure should reduce manual effort by running autonomously under policy control, and use machine learning to adapt to changing conditions.
The majority of data will reside outside the data center, in billions of IoT sensors, vehicles and mobile devices. This will require bringing apps to the data vs moving the data centrally.
To cope with growth, data infrastructure should reduce manual effort by running autonomously under policy control, and adapt to changing conditions as needed
Enterprises are looking to combine the ‘best of both worlds’ from public and private cloud models to transform their operations into a cloud-like service.
Enable fast, easy Google-like search and location of any item across the entire data estate including clouds, using indexing and metadata
As data and apps proliferate, IT will need insight and control across a global landscape, with a unified dashboard for monitoring and reporting.
Platform capabilities should be extensible with an API approach to support app development for 3rd party or enterprise developers.