SQLstream s-Analyzer captures log file and machine data in real-time and applies advanced business analytics across all your log data simultansously, regardless of number of log files, data format and geographical location. Answers to real-world business problems are rarely found in a single log file or even a single geographical location. SQLstream s-Analyzer identifies the real operational problem by combining and correlating all data sources in real-time. SQLstream s-Analyzer also helps to control the cost of your existing log tools, by aggregating all sources in real-time, delivering aggregated information only to your existing log inspection tools.
SQLstream s-Analyzer for simplifies the management of large scale sensor networks, delivering possible real-time monitoring, analytics and automated responses, regardless of sensor volumes and event frequency. Sensor data is collected, filtered and aggregated in real-time, with alerts and analytics streaming to real-time dashboards, and streaming simultaneously to downstream control systems, business process management and data warehouses.
Monitoring customer and service experience for IP video, voice and data services is much more than can be measured using network probe data alone. A user is now more likely to interact with a web portal for service activation and upgrades, more likely to suffer from failed or slow downloads, or be impacted by poor response times from the service desk. SQLstream s-Analyzer captures and processes huge volumes of network event, probe and clickstream data simultaneously, delivering real-time monitoring and alerting of service and experience exceptions.
SQLstream s-Analyzer is fully integrated with Hadoop HDFS and HBase for both input and output capture of streaming data. Based on the proven, mature SQLstream s.Server stream computing platform, SQLstream collects, analyzes, aggregates and forward real-time data streams to the Hadoop platform, providing real-time operational intelligence and streaming integration with Hadoop simultaneously.
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