Truviso

Truviso was a venture-backed software company founded in 2006 in Foster City, California. It developed continuous-analytics technology for organizations handling large volumes of continuously arriving data. Rather than requiring data to be collected in a warehouse before analysis, Truviso's system maintained continuously running queries that processed streams as data arrived and delivered updated results to downstream applications. The company grew out of research associated with the Telegraph project at the University of California, Berkeley. It was founded by Berkeley professor Michael J. Franklin and his Ph.D. student Sailesh Krishnamurthy. Their work addressed a central limitation of conventional business intelligence systems: batch-oriented databases generally analyze information after it has been stored, while many operational and internet applications need immediate insight from live event streams. Truviso's principal technology, TruCQ, extended the open-source PostgreSQL database to support continuous queries over streaming data. The system could combine live streams with other streams and with historical or staged information, using standard SQL and a scalable PostgreSQL-based architecture. Its stated capabilities included concurrent execution of thousands of continuous queries on a single server, analysis of real-time and historical data together, and optional persistence of incoming information for replay, backtesting, drill-down, or benchmarking. The company's approach was positioned for net-centric and high-volume environments, including web analytics and other applications where data changes continuously. A public example connected the technology with Technorati's blog-indexing service, where continuous analytics supported a dynamic tag-cloud visualization. Truviso also announced a dedicated web-analytics application called Visitor Insight & Analytics in 2010. Truviso received venture and strategic backing from ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. Its history as an independent brand ended when Cisco Systems announced or completed its acquisition of the company on May 4, 2012. The acquisition placed Truviso's technology within Cisco, and the standalone Truviso business is therefore generally treated as defunct or absorbed rather than an active independent software vendor.

Truviso was established in 2006 by Michael J. Franklin, a professor at the University of California, Berkeley, and Sailesh Krishnamurthy, his Ph.D. student. The company advanced work connected with Berkeley's Telegraph research project, which explored systems for processing data as it moved through networked and distributed environments. This research background shaped Truviso's focus on continuous analytics rather than conventional after-the-fact reporting. The company was headquartered in Foster City, California, and operated as a venture-backed startup. Its financial supporters included ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. Public information describes Truviso as developing and supporting analytics solutions for net-centric customers, particularly those needing to interpret large and fast-changing data flows. Truviso's central product was TruCQ. Built by leveraging and extending PostgreSQL, TruCQ enabled users to issue continuous queries against data streams. In a traditional business-intelligence workflow, information is first collected and stored in a relational database or data warehouse; analysts then execute queries against that accumulated data. Truviso's model kept queries active so that new results could be produced as incoming data changed. This made the platform relevant to operational settings in which delayed reporting could reduce the value of the information. The technology supported queries across multiple kinds of data. Users could analyze one or more live streams, combine streaming information with historical or staged records, and optionally persist incoming data for later replay, backtesting, drill-down, or benchmarking. The architecture used standard SQL and was described as capable of running thousands of concurrent queries on a single server. Truviso presented these characteristics as a way to improve responsiveness and efficiency for high-volume, always-on workloads. A cited public use case involved Technorati, a blog-indexing service. Truviso's continuous-analytics technology supported a dynamic tag-cloud visualization, illustrating how streaming data could be transformed into an updating online presentation. In May 2010, Truviso announced Visitor Insight & Analytics, a more specifically targeted application for web analytics. Truviso was regarded as an early participant in the continuous-analytics field, alongside adjacent areas such as event stream processing, complex event processing, real-time business intelligence, and operational intelligence. Its independent corporate history concluded on May 4, 2012, when Cisco Systems acquired the company. Following the transaction, Truviso ceased to operate as a standalone independent brand in the public record and became part of Cisco's technology portfolio.

1. 2012Cisco acquires Truviso

   Cisco Systems acquired Truviso on May 4, 2012, bringing the startup's streaming-analytics technology into Cisco.

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2. 2010Visitor Insight & Analytics is announced

   Truviso announced a web-analytics application designed to apply continuous analytics to visitor and online activity data.

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3. 2006Truviso is founded

   Michael J. Franklin and Sailesh Krishnamurthy founded Truviso, building on research associated with the University of California, Berkeley's Telegraph project.

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A continuous-analytics specialist focused on always-on SQL queries over high-volume streaming, historical, and mixed data sources, positioned as an alternative to batch-first business intelligence and conventional data-warehouse analysis.

• TruCQContinuous analytics and streaming-data query platform

  TruCQ was Truviso's principal technology. It extended the open-source PostgreSQL database to support continuously running SQL queries over live data streams, historical data, or combinations of the two. The platform was designed to return updated results as new information arrived, without requiring every event to be processed through a conventional batch-warehouse workflow. Its described capabilities included concurrent query execution, optional persistence for replay and backtesting, and analysis of heterogeneous data sources.

• Visitor Insight & AnalyticsWeb analytics application2010

  Visitor Insight & Analytics was a web-analytics application announced by Truviso in 2010. It applied the company's continuous-analytics model to visitor and online activity, reflecting Truviso's effort to package its streaming-data technology for a more specific analytics use case.

• 2012Sale to Cisco SystemsM&A

  Truviso was a venture-backed continuous-analytics startup developing PostgreSQL-based technology for streaming and mixed real-time and historical data.

  What changed. Cisco Systems acquired Truviso on May 4, 2012.

  Aftermath. Truviso's independent corporate identity ended, with its technology becoming part of Cisco. The transaction's financial terms were not provided in the reference material.

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• 2010Expansion into web analyticsProduct launch

  Truviso's core technology was designed for continuously changing data, and web activity was a natural application area for real-time analysis.

  What changed. The company announced Visitor Insight & Analytics as a dedicated web-analytics application.

  Aftermath. The announcement demonstrated an application-focused extension of Truviso's continuous-analytics platform; no further independently documented product outcome is available in the supplied material.

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• 2012Cisco acquires Truviso

  Truviso was acquired by Cisco Systems on May 4, 2012, ending its operation as an independent company and bringing its continuous-analytics technology into Cisco.

  M&A
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• 2010Truviso develops Visitor Insight & Analytics application

  Truviso announced a web-analytics application built around its continuous-analytics approach, applying streaming analysis to visitor and online activity data.

  Product launch
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1. Truviso