Global business intelligence and analytics software vendor Yellowfin has partnered with integration solutions specialist NTT Software Corporation, in collaboration with ETL provider, Appresso KK, to deliver a fully managed cloud BI platform on Amazon Web Services (AWS) to the Japanese market.
The new offering, called the InfoCabina Yellowfin Cloud, will provide a highly scalable end-to-end Platform-as-a-Service analytics solution, enabling organisations to quickly begin loading and exploring big data in a secure hosted environment.
InfoCabina Yellowfin Cloud combines an initial five-user license for Yellowfin’s web-based consumer-oriented BI solution, and Appresso’s DataSpider ETL tool, with either Amazon’s Relational Database Service (RDS) or Amazon Redshift – AWS’s petabyte-scale columnar data warehouse service for big data analytics.
The monthly subscription-based license includes maintenance, support and upgrades.
Glen Rabie, Yellowfin CEO (pictured), said as a web-based BI solution, Yellowfin is a great fit for deploying cloud BI on the AWS platform.
“With NTT Software overseeing deployment, configuration, integration and ongoing management of the InfoCabina Yellowfn cloud solution, Japanese organisations can quickly start performing sophisticated big data analytics, and seamlessly scale throughout the enterprise, as data volumes and usage demands increase,” Rabie said.
Shinichi Yamada, president and CEO of NTT Software Corporation, said the partnership had the ability to create a new cloud BI market in Japan.
“We believe the Yellowfin – Appresso – Amazon offering delivers a unique set of innovative technologies that will make cloud-based reporting and analytics financial and technologically accessible to organisations of all sizes in the Japanese market,” said Yamada.
Yoshihiro Konno, senior manager for strategic alliances, Amazon Data Services Japan, said the scalability of AWS together with NTT’s managed service delivery will make “sophisticated and intuitive BI capabilities available to companies that may have struggled with the cost and complexities of BI in the past”.