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Database digs down deep into machine-generated data
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Database digs down deep into machine-generated data

Posted by Steve RogersonJune 15, 2011

Infobright 4.0, the industry’s first database with built-in intelligence for near-real time analysis of machine-generated data, is about to be launched.

Machine-generated data include sources ranging from web, telecoms networks and call-detail records, to data from online gaming, social networks, sensors, computer logs, satellites, financial transaction feeds and more.

Infobright 4.0 is built on a breakthrough in analytics known as domain-expert technology. Developed by Infobright, this technology can slash query response time by using specific intelligence about machine-generated data to optimise automatically how data are stored and how queries are processed. In addition, users can add their own domain knowledge to extend this capability to match their needs.

“Infobright’s domain-expert technology delivers new capabilities that allow Pentaho’s data discovery users to analyse their data much more quickly,” said Richard Daley, founder and CEO of Pentaho. “Since our technology is already tightly integrated with Infobright, these new capabilities will be available immediately for customers to generate data analytics faster, easier and more affordably.”

With its rough query feature, Infobright 4.0 can also speed up query response time by a factor of 20 when users are looking for “needles in the haystack” within a large volume of data. Infobright claims its data compression rate and its rough query capability allow companies to store far more data history, yet drill down into the data in a fraction of the time of other databases.

“I really like Infobright’s rough query idea because investigative analytics is often iterative,” said Curt Monash, president of Monash Research and editor and publisher of the DBMS 2 blog. “So the longer you can work just in ram, the better off you are.”

How domain-expert technology works is that by adding intelligence about a particular data domain – such as web, financial services or telecoms – the database is automatically optimised for analytic performance. In release 4.0, online data types such as email addresses, URLs and IP addresses are included, and users can also add their own domain intelligence to meet their needs.

Rough query provides near-instantaneous results for users who need to drill down into very large volumes of data. Rather than execute a long-running query to find a specific answer, rough query enables a user to narrow down the results in an iterative manner, with sub-second response time, before the full query is run. The total query time can be reduced by 20 times using this capability.

“Infobright’s goal is to give users immediate access to their data, the flexibility to do any kind of analysis without IT or DBA intervention, and the scalability to sustain high performance whether they are dealing with information within their own enterprise or big data in the cloud,” said Don DeLoach, CEO of Infobright.

“Our 4.0 release is another major step forward, as it extends the intelligence built into the system to specifically address the challenges companies of all sizes are facing in extracting useful and timely insight from the data now relentlessly churned out 24/7 by smart devices, sensors, real-time logs and a variety of other sources.”

Infobright 4.0 should be generally available within the next 30 days.

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