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Products Overview

A Complete Suite of Products for Information Lifecycle Management and Compliance

Organizations that employ prepackaged, custom and third-party applications face mushrooming volumes of new data-while regulations require them to retain that data indefinitely. As data volumes grow, the time and effort necessary for end users and database administrators to perform essential tasks on production systems increases.

Applimation offers a suite of Enterprise data management solutions that implement Information Lifecycle Management (ILM) practices. Since 1998, hundreds of customers have used Applimation data growth management solutions to move less frequently accessed data from production systems to second-line storage in order to match the value of individual data items with the method of storage.

Applimation solutions support structured and unstructured data across all databases. They include a powerful Data Archiving solution that allows for customers to effectively manage their data growth. Database Subsetting and Secure capabilities permit our customers to improve responsiveness to their end users while protecting sensitive information subject to potential security breaches. Using Applimation Informia solutions, customers reduce costs and improve performance-while satisfying retention, access, and security requirements.

Applimation database archiving technology ensures business application integrity for packaged, third-party and custom applications.

Capabilities

  • Understand how data has grown
  • Monitor how data usage has changed over time
  • Predict how data will grow
  • Decide how long data should survive
  • Adhere to all the rules and regulations that now apply to data
  • Encrypt/decrypt, scramble, and mask data

Benefits

  • Improve application performance by eliminating unnecessary data from the production database
  • Reduce total cost of ownership (TCO) by lowering hardware costs, reducing storage costs and reducing DBA support time
  • Enable regulatory compliance
  • Proactively protect sensitive information in both production and non-production databases

 

 
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