As part of its commitment to the open source community, Truviso, a
leading provider of next-generation business intelligence solutions,
today announced that it has completed an enhancement to the PostgreSQL
open source database system that further extends its suitability for
streaming data analysis. Truviso also announced it will contribute this
enhancement to the PostgreSQL community, reinforcing the company’s
foundational tenet of building upon and sharing mutually beneficial
improvements to open source code with the PostgreSQL community.
“The entire PostgreSQL community benefits from
the rapid innovation that occurs when individuals collaborate to solve
technical challenges,” said Neil Conway,
senior software engineer at Truviso and a major developer in the
PostgreSQL community. “This project
demonstrates the power of the PostgreSQL ecosystem. The need for this
feature has been recognized for some time, but it took a collaborative
effort to marshal the significant resources required to address it.
Giving back what we have developed leads to a stronger foundation on
which others can build.”
Truviso’s solution leverages PostgreSQL
technology to provide high-performance, ultra-low-latency continuous
data analysis. The new feature enhances PostgreSQL’s
performance for extremely long-running queries and transactions, an
increasingly important capability for many applications. Implementing
this new, sophisticated functionality required a dedicated effort from
software engineers at Truviso and Command Prompt, a PostgreSQL
consulting firm. The Truviso-sponsored improvements are expected to be
included in the next release of PostgreSQL, scheduled for early 2009.
“Today, leveraging open source ‘building
blocks’ is the only viable strategy for
developing enterprise-class software,” said
Michael Franklin, Truviso co-founder and a professor of computer science
at the University of California, Berkeley. “PostgreSQL
is a prime example of the open source community’s
ability to provide a proven foundation that yields a faster, far more
cost-effective development platform than is available with legacy,
commercial vendor options. When you combine these characteristics with
the continuous and rapid innovation from the open source ecosystem, the
results speak for themselves.”
Truviso solutions combine continuous data analytics and real-time
analysis with an enterprise-class, open-source database. With full
support for industry-standard SQL, Truviso’s
product can simultaneously execute thousands of concurrent queries
across high-volume data sources for zero-latency decision-making. Truviso’s
robust, scalable technology has been proven by partners and customers in
the high-volume, network-centric, massively interconnected applications
used by large web properties, media providers, network security vendors,
financial exchanges, and trading houses.
“It is gratifying to work with companies like
Truviso, who not only benefit from PostgreSQL communities’
advancements but also give back,” said Joshua
Drake, Command Prompt founder and director of the U.S. PostgreSQL
Association. “Every new advance is important,
whether it constitutes a major new feature development or an incremental
improvement, and every contributor is welcome—from
individual developers to global corporations.”
About Command Prompt
Command Prompt, Inc. is the oldest and largest dedicated PostgreSQL
support provider in North America. Since 1997, the company has focused
exclusively on developing, supporting, deploying, and advocating for
PostgreSQL. Command Prompt has a strong and growing customer base, as
well as a strong relationship with the PostgreSQL community.
About Truviso
Truviso (www.truviso.com) solutions
deliver immediate insights and context for net-centric enterprises.
Applications for Truviso solutions are found across industries, where
they optimize critical business, analytic, and operational processes.
The company is funded by leading Silicon Valley venture capital and
corporate investors, including Onset Ventures, Diamondhead Ventures, and
UPS Strategic Enterprise Fund.
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