“This is still a work in progress, but what we want is to take these mountains of data, that are in different places, and turn data into information, turn that information into knowledge, and hopefully turn that knowledge into policy, SAP has been a valuable partner in this endeavor."
“SAP Digital Boardroom helps your executive team or board see the real results of your strategy and quickly see where you are on that journey. There is no room for diverse interpretation; results are based on tangible evidence, real–time information, and a single source of data.”

Hazelcast is the leading in-memory computing platform company which addresses the growing demand for enhanced application performance, speed and scalability. Hazelcast IMDG is an in-memory data grid built and proven to provide the performance at scale required by the world’s largest organizations. Hazelcast Jet, is an ultra-fast, application embeddable, stream and batch processing engine capable of supporting real-time streaming data. The company also offers Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.
Welcome to Oracle. This is the place to get basic facts about the company (PDF), or to learn about how Oracle is dedicated to unleashing innovation by simplifying IT. Find out about the Executive and Board of Directors leadership teams who drive the company's direction. Learn about Oracle's History, and the Innovation and Acquisitions that will help shape its future, as well as Oracle Excellence Awards winners.
Upsolver is the Data Lake Platform that empowers any developer to manage, integrate and structure streaming data for analysis at unprecedented ease dramatically simplifying big data projects and reducing time-to-value from months to minutes. Upsolver's groundbreaking in-memory technology is used by the world's most data-intensive organizations, with current clients including Sisense, SimilarWeb, and ironSource. Whether on-premise or in the cloud, Upsolver provides the simplest way to rapidly develop and maintain a world-class data lake, saving hundreds of development hours and tens of thousands of dollars.











