Developer of the world’s fastest visual analytics platform for big data picks StrategyCore
February 19, 2017 - A developer of the world's fastest visual analytics platform for big data, announced it has appointed StrategyCore K.K. as its master distributor for Asia Pacific and Japan (APJ), to meet the fast-growing demand for big data analytic solutions in APJ. The business will work through offices in Singapore, Japan and Australia.
Big data analytics software revenues are forecast to grow globally at a compound annual rate of nearly 19% between 2016 and 2021 with Asia leading the world in demand, according to research firm MarketsandMarkets(1). “The market in APAC is in a growth phase and is the fastest-growing regional big data market. This is mainly attributed to the growing manufacturing industry in this region. Moreover, with the growing data centers in developing countries such as India and China, the amount of data being generated has increased tremendously. Hence, organizations are looking for big data solutions to perform advanced analytics and management on this data to get real-time access.”
StrategyCore has a long track record of success in partnering with global vendors to deliver solutions in Asia Pacific for enterprises in cloud software, big data, Internet of Things (IoT), cyber security and mobile applications, and thus, are very plugged into the big data community in Asia and work closely with the leading Hadoop distribution vendors.
The vendor was recently selected as a Visionary in Gartner’s BI & Analytics Platforms 2017 Magic Quadrant, less than a year after being named a Gartner 2016 Cool Vendor. The product is an open platform that provides visual analytics solutions for big data. Natively architected for both cloud and on-premises deployments, its microservices architecture delivers visual analysis of big datasets in seconds. Using patented data sharpening and micro-query technologies, the vendor software empowers business users to visually consume data in seconds, even across billions of rows of data, and enables interactive analytics across disparate data sources, bridging modern and legacy data architectures, blending real-time streams and historical data, and unifying enterprise data with data in the cloud. Delivered in a microservices architecture for elastic scalability, the solution runs on premises, in the cloud or embedded in an application.
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