Infobright Introduces New Approximate Query Functionality
Provides customers with up to 500 times faster access to results for ad-hoc data analysis
TORONTO--(BUSINESS WIRE)--Infobright, the database analytics platform for the Internet of Things, today announced new Approximate Query functionality for Infobright Enterprise Edition. Approximate Query takes advantage of Infobright’s Knowledge Grid to intelligently sample data, returning results up to 500 times faster than exact queries.
“Organizations are producing and storing tremendous amounts of machine generated data that goes largely unused, primarily because the data sets are too large to query and existing tools limit the degree to which you can access useful information”
Infobright’s unique architecture for storing and analyzing machine generated data allows customers to use alternative query models for simple discovery of vast amounts of data. Where Rough Query is used to understand some aspects of data, Approximate Query goes a step further to evaluate more machine generated data and provides greater detail, getting within percentage points of an exact answer. This allows for faster ad-hoc query iterations and enables organizations to act upon data more quickly than if they were using exact queries.
“Organizations are producing and storing tremendous amounts of machine generated data that goes largely unused, primarily because the data sets are too large to query and existing tools limit the degree to which you can access useful information,” said Don DeLoach, CEO of Infobright. “With Approximate Query, we provide customers with a mechanism to interrogate their data and retrieve answers quickly to extract actionable information, get significantly quicker responses to those queries and find patterns within the data that help them make smarter business decisions. As the Internet of Things continues to evolve, these types of capabilities will make efforts that are technologically possible, but pragmatically beyond the limits of available resources, and bring them into the realm of what is practical. ”
As Internet of Things applications become more prevalent, data-heavy business use cases make functionality like Approximate Query a key factor in simplifying very time consuming data mining and/or data investigation processes. For instance, a telecommunications service provider may be able to sample data to help identify patterns in dropped calls or optimize broadband QoS faster and take preventative action rather than waiting hours for an exact answer. Additionally, marketers may be able to get a quick glimpse into the effectiveness of promotional campaigns and adjust them accordingly, while sales organizations may be able to find more accurate subscriber segments through iterative analytics.
Infobright will be demonstrating Approximate Query at Mobile World Congress where they will be exhibiting in Hall 7, Stand 7.I51. Approximate Query is currently in beta testing and will be available in Infobright Enterprise Edition at the end of the second quarter of 2014.
Infobright delivers a high performance analytic database platform that serves as a key underlying infrastructure for The Internet of Things. Specifically focused on enabling the rapid analysis of machine generated data, Infobright powers applications to perform interactive, complex queries resulting in better, faster business decisions enabling companies to decrease costs, increase revenue and improve market share. With offices around the globe, Infobright’s platform is used by market-leading companies such as Mavenir, Yahoo! Bango, JDSU and Polystar. For more information on Infobright’s customers and solutions please visit www.infobright.com and follow us on Twitter @Infobright.