DataCore, a US-based software-defined storage company is setting up its second-largest R&D centre in Bengaluru. With this, DataCore aims to boost major global R&D efforts out of Bengaluru and the Bengaluru helps clients across the US and EMEA for now. It also plans to expand the facility into a fully functional centre of excellence over the next 12 months.

Rizwan Pirani, CPO & SVP- Global Head, DataCore, comments, “DataCore is an authority on software-defined storage, at a point in time where organisations all over the world are realizing the importance of software-defined storage. India, and Bangalore in particular, have been the R&D hub for technology companies globally. We see tremendous potential with the impressive diversity of talent in the market and are committed to making this our second-largest R&D centre after Florida, in terms of people. We look forward to working with our teams here to spearhead the development of the next-generation suite of solutions for our global customers”.

DataCore plans to create an extensive recruitment plan in the systems and storage domain that will hire from India’s top educational institutions. It also fills lateral roles with its existing talent by allowing the hires to capitalise on the opportunities for growth. DataCore also starts a disciplined internship program for graduates to influence its domain expertise and help them via the transition to skilled professionals.

The R&D centre in India will be spearheaded by Vani Sharma, Center Head India & Vice President Products, DataCore and the company will be offering highly flexible software-defined storage solutions, which eliminates hardware and vendor lock-in, giving the IT department maximum flexibility.

Founded in 1998, DataCore empowers IT organisations to achieve always what is available, high-performance and highly efficient data systems. It has been proven in over 10,000 deployments across traditional hyper-converged, cloud, and hybrid environments. The technology will eliminate storage bottlenecks with adaptive parallel I/O optimization, that enables zero-downtime synchronous mirroring, and provides a true hardware-agnostic architecture.

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