Kinetica, provider of the fastest GPU accelerated analytics database, today affirmed its focus on broadening the adoption of GPU technology across the Asia Pacific Japan region, as it enters its next phase of growth. Organizations that will benefit from using Kinetica’s architecture are enterprises that handle large volumes of data, including banking & finance, oil & gas, auto, healthcare, telecom, logistics & delivery, and retail & e-commerce companies.
Anticipating huge demand from APJ, Kinetic announces the appointment of Joseph Lee as Vice President, Asia Pacific Japan. Lee’s primary focus will be creating visibility for the brand, accelerating Kinetica deployment in the region, driving customer success, and strengthening partnerships. Lee will propel Kinetica business growth across Southeast Asia, to Australia, Japan, and Korea.
This expansion follows Kinetica’s recent US$50 million Series A funding co-led by Canvas Ventures and Meritech Capital Partners, with the participation of new investor Citi Ventures and existing investor Ray Lane of GreatPoint Ventures, formerly President and COO at Oracle.
Lee brings 16 years of successful enterprise software sales and leadership with advanced domain knowledge in telecommunications, financial services, and retail/e-commerce. Lee comes from Cloudera, where he was the Senior Director of ASEAN and India and was named Cloudera’s Global Sales Leader of the Year FY17. Prior to Cloudera, he held sales director roles at Cisco and TIDAL Software.
We are thrilled about the business prospects for Kinetica in the region, and we see this market entry successfully contributing to our overall growth strategy,” said Amit Vij, CEO and Co-Founder at Kinetica. “With the tremendous growth of commercial activity across various sectors, enterprises are going to sharpen their focus on making intelligent decisions, leveraging the data that resides within their business. We are confident that Joseph’s experience with enterprise software in both startup and multi-national companies will accelerate customers’ success in the region.
Research firm IDC’s Worldwide Semiannual Big Data and Analytics Spending Guide reported the Asia Pacific region as the third largest market for big data and analytics solutions, with spending forecast to reach US$13.6 billion in 2017. As more companies and industries in Asia Pacific shift towards data-driven decision making, demand for highly efficient big data and analytics technologies will increase significantly. This is an opportunity for Kinetica, as Asia Pacific expects a CAGR of 14.4% by 2022 in big data and business analytics spending.
Today’s deluge of data in the business requires transformation in data processing. Our broadly applicable GPU-accelerated database will power the future of analytical and AI applications. Enterprises who want to profit from rapid decisions using the totality of their data – from sensors in cars, behavior from customers, signals in banking systems, patterns from medical devices – should consider Kinetica.
Kinetica supports data processing 100x times faster than legacy DBs, with a tenth of the hardware. High-performance GPUs by NVIDIA accelerate traditional database operations by using thousands of small, efficient cores that are well suited to performing repeated similar instructions in parallel. This allows businesses to analyze high-volume, unstructured and moving data sets faster, using machine learning, AI and BI analytics, and visualization. Kinetica can be installed on premises or run on the cloud with Amazon Web Services, Microsoft Azure or Google Cloud.
Our joint solution with Kinetica will provide businesses in the APJ region with unmatched performance for accelerated analytics. Large enterprises can revolutionize their data-crunching tasks and in other areas, for instance, IoT data and analytics, businesses can analyse field-deployed devices such as autonomous cars, offshore oil rigs, cell towers, factories and heavy machinery.
Said Raymond Teh, Vice President, Asia Pacific, NVIDIA.
Kinetica was initially developed for the US Army Intelligence and Security Command and the National Security Agency to track and capture terrorists in real time. The result was an enterprise-grade SQL database built from the ground up, powered by GPUs, that provides instant results and the ability to visualize insights across massive, streaming datasets. The product has since been deployed by the United States Postal Service, GlaxoSmithKline, PG&E, IronNet Cybersecurity and one of the world’s largest retailers.