SQLstream's revolutionary new paradigm leads to a fresh approach in innumerable application areas where, for the first time, two primary goals of enormous enterprise value can be approached simultaneously:

• Immediacy of results, as soon as all inputs are available, and
• Immediacy of enhancing running applications,
  as soon as desired processing can be described in SQL

Sources of streaming data are nearly everywhere, including ERP transactions, web-services transactions, business process flows, database transactions, log-files, alerts, messages to name just a few.

Streaming data sources become ever more apparent as you realize such data can be handled on-the-fly by defining standard SQL queries using natural extensions to handle time windows.

While the pages linked at left delineate the very broad implications of SQLstream's Relational Asynchronous Messaging (RAM) and our RAM Management System (RAMMS), we present here three illustrative case studies:

• Application Migration
  
  
• Lead Generation and Cross Selling
  
  
• Customer Classification