Truviso

Truviso, Inc. operated as a data analytics software company, carving a niche in continuous analytics for network-driven businesses before its acquisition. The company was established in 2006, born from academic research at the University of California, Berkeley. Its founders were UC Berkeley professor Michael J. Franklin and his Ph.D. student, Sailesh Krishnamurthy, who built the company upon their research from Berkeley's Telegraph project. Franklin, an authority in distributed and streaming database technology, served as the Chief Technology Officer, leveraging his extensive background in data management which also includes co-creating Apache Spark. Krishnamurthy, also an authority in data management, brought his entrepreneurial spirit and deep technical expertise to the venture.

The firm was headquartered in Foster City, California, and secured funding from investors including ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. A significant funding round in August 2009 raised $3 million. Truviso's core business centered on providing real-time insight into operational data through continuous analysis of live data streams. The company catered to service providers and enterprise customers, such as ad networks, e-commerce sites, and enterprise software vendors, who found traditional data warehouse solutions too slow for their rapidly growing data volumes. The business model focused on software analytics to help clients increase operational efficiencies and identify new revenue opportunities by analyzing network data as it was generated.

Truviso's flagship product, TruCQ, was engineered to address the challenges of high-volume, continuous data analysis. A key differentiator was its "analyze-first, store-later" continuous query technology. This approach inverted the traditional business intelligence paradigm of first storing data and then running batch queries against it. Built on an extended version of the open-source PostgreSQL database, TruCQ allowed users to run standard SQL queries on live, heterogeneous data streams, and even combine them with historical data. This provided customers with immediate visibility and actionable information. The technology was designed for massive performance scalability, enabling always-on queries that processed streaming data upon arrival. In May 2012, Cisco Systems, Inc. announced its intent to acquire Truviso for an undisclosed amount, integrating the team and its real-time analytics technology into Cisco's Network Management Technology Group to bolster the Cisco Prime platform.

Keywords: continuous analytics, streaming data, real-time data analysis, network data, data analytics software, stream processing, PostgreSQL, business intelligence, continuous query, data management, big data analytics, TruCQ, Michael J. Franklin, Sailesh Krishnamurthy, Cisco acquisition, network management, operational intelligence, data-intensive business, analyze-first, real-time business intelligence, enterprise data