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There is a very big movement in the industry away from after-the-fact reporting and analysis to on-demand information delivered in context, what some are calling operational BI. Last year ebizQ did a virtual conference on BI in Action during which we had a panel discussion on BI and BPM, and how BI was evolving into more on-demand, operational BI. The overall message was clear. Organizations are seeking more in-depth information on-demand, within the course of business, as opposed to periodic, after-the-fact reports.

I recently spoke with Truviso about an innovative approach they have developed for delivering on-demand information in high data volume environments. As Roman Bukary, VP marketing and business development, explained it, instead of executing SQL queries against large volumes of data, Truviso analyzes the information as it moves through the pipe. It actually uses standard SQL, but can apply queries to high volume data streams, and feed dashboards with the information or even trigger data-driven actions and alerts.

The company was co-founded in 2005 by Berkley professor Michael Franklin and his assistant Sailesh Krishnamurthy, who is now the chief architect. They developed an engine that uses standard SQL queries to analyze data as it moves across systems, regardless of where it comes from. The result is massive scalability and performance, clocked at 100,000 records per second on a single machine. Additionally, thousands of concurrent queries can be run continuously and simultaneously on a single server, and the queries can be run over both real-time and historical data from within a single engine. Truviso uses open source database PostgreSQL which enables data to be optionally persisted for replay, back-testing, drill-down, bench-marking and other purposes. The system can be run distributed across applications, databases, and edge devices, allowing for massive linear scalability. The system includes integration components so it can accept data from multiple different sources, including message queues. Each connector is provides transformation capabilities.

Foreign currency trading was the first market Truviso entered. They also have solutions for capital markets, retail inventory, logists, SOA/Network monitoring, and RFID/Sensor Network.

Because it built on top of PostgreSQL, it can deploy natively on any OS or hardware platform. It can run in a virtualized environment, and Truviso is (or will soon be) available as a SaaS solution. Because it uses standard SQL companies can migrate historical reporting to real-time analysis in a matter of hours.

BI meets event processing. On demand BI. Intelligent event processing. This technology seems to span categories, as well as uses in the enterprise.

Posted by bethgb at 03:36 PM in BI • Business Intelligence • EDA • Industry News • Industry Trends | Digg This | Add to del.icio.us

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