Infobright Enterprise Edition

High performance. Low cost. Easy to implement and manage. Real-time analytics against large volumes of machine-generated data.

Enterprise Edition Benefits

 

Just Load and Go

  • Simple to implement and manage, requiring little administration
  • No specific schemas needed
  • Self-managing: no need to create indexes, materialized views or partition data
  • Use the BI tools or programming languages you know: compatible with major Business Intelligence tools such as Actuate/BIRT, Cognos, Business Objects, Microstrategy, Pentaho, Jaspersoft, Talend and others, and uses the MySQL drivers for ODBC, JDBC etc.

High performance and scalability

  • Fast response times for complex analytic queries
  • No need to pre-plan queries and tune for performance - Infobright excels at ad hoc queries
  • Query and load performance remain constant as the size of the database grows
  • Very fast data load: Load TBs per hour with the Distributed Load Processor
  • Scales up to 50TB of data and more

Low Cost

  • Low cost enterprise subscriptions that include product licenses, updates, outstanding support and more. Special OEM pricing and program.
  • Eliminates the need for complex hardware infrastructure
  • Runs on low cost, industry standard servers
  • A single server can scale to support 50 TB of data
  • Industry-leading data compression (10:1 up to 40:1) significantly reduces the amount of storage needed and their associated maintenance costs
  • 90% less work to manage means much lower operational expenses

Download the Product Overview.

 

Infobright Technology >>

Infopliance Portal

Next Steps

 

Customer Stories

Canadian Space Agency

“This [Infobright] solution permits real time compression, compact storage and quick retrieval of relevant data segments using SQL query processing of measured data. Performance of this solution along with its…

read more >>

A New Approach

The Analytic Data Warehouse

Traditional data warehouse products put a tremendous burden on IT in order to create and maintain an environment that will allow users to query against large volumes of data.

view >>