ThomasNet Home   |   Promote Your Business
Home  |   My ThomasNet News®  |   Industry Market Trends  |   Submit Release  |   Advertise  |   About Us Feb 14, 2012  

Database optimizes time-series data capture/management.

Print | 
Email |  Comment   Share  
August 3, 2007 - Equipped with storage, manipulation, and retrieval algorithms for time-series data collection, 64-bit Historis database provides companies with analysis capabilities as well as infinite capacity for data management. Insertion rates reach 250,000+ records/sec, and extraction rates reach 220,000+ records/sec. While millisecond support allows precise data time-stamping, English-like query language (MQL) lets user ask questions concerning data without requiring computer programming.

(Archive News Story - Products mentioned in this Archive News Story may or may not be available from the manufacturer.)
Original Press release

Logical Information Machines, Inc.
120 W Madison St., Ste. 1200
Chicago, IL, 60602
USA



LIM Unveils Historis 64-Bit Database


New Database offers faster speed, higher capacity, and improved analytics

CHICAGO, July 24 -- Data management solutions provider Logical Information Machines (LIM) has announced the 64-bit version of its Historis database. A significant upgrade from its 32-bit version, the new 64-bit Historis edition offers faster speeds, infinite capacity for data management, and improved analysis capabilities. By focusing exclusively on optimizing its storage, manipulation, and retrieval algorithms for time-series data, Historis provides capabilities far beyond those of standard relational databases.

"As the need for capturing time-series data increases, standard database solutions are becoming increasingly inadequate," said Tony Kolton, President and CEO, LIM. "Historis 64-Bit delivers the capabilities companies require to keep pace by exploiting the regularity inherent in time-series data to achieve the highest level of efficiency."

With capacity expanded to the 64-bit level, Historis handles virtually any size or speed of data collection. The database enables an insertion rate of more than 250,000 records per second and an extraction rate of more than 220,000 records per second.

Historis 64-Bit Key Features

The Historis 64-Bit Database enables companies in the energy, financial, fleet operations, healthcare, factory operations, and other industries that collect time-series information to reap the maximum benefits from their data. Key features include:

o 64-bit capacity that can handle virtually unlimited file sizes.

o Millisecond support, allowing data entering Historis to be time stamped at up to one thousandth of a second.

o English-like query language -- MQL -- enables the user to ask questions concerning data without requiring computer programming and allows the user to submit queries to the millisecond. Query language geared specifically toward time-series data allows users to easily make queries regarding dates and times that would be extremely difficult with SQL, if not impossible.

o Upgraded query language support, enabling queries on the millisecond level.

o Data compression that is orders of magnitude above standard database solutions, reducing required disk space for storage.

o Analysis tools XMIM and MIMIC, as well as links to popular analysis tools S-PLUS and MATLAB.

Availability

The Historis 64-Bit Database is now available worldwide for the SUN Server and LINUX platforms. For more information, please visit the Historis Web site http://www.historisdatabase.com/.

About Historis(R)

Historis is a robust time-series database designed by the data management experts at Logical Information Machines (LIM) to meet the intense speed demands and tremendous storage requirements of time-series data collection. Unlike other databases, Historis is capable of handling an infinite amount of data. Additionally, it more efficiently compresses data, resulting in a cost-effective solution that reduces disk space and provides unparalleled speed with an extraction rate of more than 220,000 records per second. Logical Information Machines has been recognized as a Laureate by the Computerworld Honors Program for Case Study Historis.

About Logical Information Machines

Logical Information Machines (LIM) is a leading provider of data, analytics, and research, using proprietary technology and data management solutions to provide its customers with actionable information primarily in the energy and financial sectors. LIM's clients are among the world's largest hedge funds, mutual funds, banks, and energy concerns. The firm was named "Data Management Provider of the Year" by Energy Risk Magazine and was recently awarded "Best of the Web" by Forbes magazine for stock market research. Founded in 1988, LIM is headquartered in Chicago with offices in Austin, New York, London, and Singapore. For more information please visit http://www.lim.com/.
Print | 
Email |  Comment   Share  
Contacts: View detailed contact information.


 

Post a comment about this story

Name:
E-mail:
(your e-mail address will not be posted)
Comment title:
Comment:
To submit comment, enter the security code shown below and press 'Post Comment'.
 



 See related product stories
More .....
 Newsletters
Industry Market Trends
Has Got It
  • Latest developments
  • Trends
  • Best practices
  • Opinions & Commentary
Get Ahead. Get IMT.
Subscribe Free Today
Subscribe   View Sample

Your Gateway to a Fast Changing World
Product News Alerts
Receive similar stories and other customized news to keep you in the know on the products shaping industry.
Subscribe Free Today
Subscribe   View Sample
 See more product news in:
Software
 Tools for you
Watch Company 
View Company Profile
More news from this company
E-Mail Story
Save Story
Search for suppliers of
Database Management Software
Join the forum discussion at:
Engineers Lounge


Home  |  My ThomasNet News®  |  Industry Market Trends  |  Submit Release  |  Advertise  |  Contact News  |  About Us
Brought to you by Thomasnet.com        Browse ThomasNet Directory

Copyright © 2012 Thomas Publishing Company
Terms of Use - Privacy Policy