Video Introduction

DATA is revolutionizing how we live and work, and it's growing exponentially everywhere. Faced with this information explosion, experienced programmers are now using parallel processing tools such as MapReduce/Hadoop, rather than SQL databases, to analyze large repositories of stored, historical data. The next major step in this direction is to bring the full power of advanced data mining and analytics, realtime stream processing, and massively parallel computing to everyone, not just to experienced programmers. The cloud is central to bringing about this radical change in how we process data of all kinds. Hundreds of millions of "non-programmers" in businesses around the world routinely use technologies such as Excel spreadsheets to handle their data challenges. With Cloudscale, any one of these business users can now, for the first time, simply and seamlessly exploit the full power of realtime, highly parallel cloud computing. Those already using SQL or MapReduce/Hadoop, also now have an easy-to-use massively parallel cloud technology that can handle realtime as well as stored, historical data.

Cloudscale's unique realtime dataflow technology lets you analyze realtime and historical data in the cloud, with seamless integration from Excel, the world's #1 business tool, and with interfaces to offline data held in databases and distributed datastores. It provides the power needed for analysis of both structured and unstructured data, and allows enterprise users to work with both internal and external data, e.g. live web, financial or government data. With Cloudscale you automatically get the elastic scalability and parallel processing required to handle anything from one-off personal data analysis tasks up to the most demanding large-scale analytics apps required by the world's leading organizations in business, web, finance and government.