SQLstream provides a standards-based, real-time stream computing platform, enabling IT departments to deliver real-time scalability and performance, while taking control of their IT applications and internal development costs.

Many telecommunications companies are struggling to reduce IT costs, reduce their systems landscape, yet still deliver the high performance solutions required to manage next generation technologies and services.

Of course, Telcomms has always presented a complex IT problem, requiring real-time processing of huge data volumes. However, the scale of the IT problem is changing - the move towards all-IP networks, on-demand services and packet bandwidth, and the increasing difficulty in both defining and monitoring a ‘next generation’ service and the related customer experiences. The recent trend towards commercial off the shelf products from external vendors has not helped, with solutions failing to deliver, over budget, and with the large legacy systems remaining stubbornly in place.

SQLstream provides IT departments with the technical advantage:

• Standards-based, scalable stream computing platform, enabling vast quantities of data to be analysed in real-time using standards-based SQL.

• Operational business intelligence with streaming analytics.

• Aggregation, filtering and combining of multiple data sources in real-time.

• Text analytics in real-time, for example combining analysis of Twitter, news feeds, user clickstream and SMS messages in real-time.

• Geographical awareness, and the ability to join geographical information with customer service data.

SQLstream manages data in any format and volume.

SQLstream enables data from multiple sources and data formats to be processed in real-time. Typical formats include:

• Web feeds, such as Twitter and RSS feeds.

• Internet usage and clickstream records: for example bytes, service payloads, quality of service.

• CDR data for call and service billing, including roaming.

• Location awareness data, such as customer and handset locations.

• Status, event and performance statistics on customers and services.

• Business process and monitoring events.