Organizations are increasingly challenged to successfully manage data growth. Large volumes of data are stored in various data repositories across the enterprise.
Rampant data growth can impair the performance of mission-critical enterprise systems, including custom and packaged applications, data warehouses and big data environments, jeopardizing the ability to service clients.
InfoSphere Optim Archive is the proven, market leading solution that solves the data growth problem at the source, reducing costs, improving performance and efficiency, and minimizing the risks associated with managing structured data throughout its lifetime.
Reduce Costs: By archiving infrequently used data from productions environments, that data can be stored on less expensive storage, and can be compressed to save even more storage space.
Improve Performance and Efficiency: With less data, system and application performance improves, reports and batch processes run faster, and back-up and recovery processes run more efficiently.
Minimize Risks: Intelligently archiving data out of productions systems allows for data retention compliance, but also supports a better long-term solution for storing application data by providing application-independent access to that data.
Gartner Magic Quadrant for Structured Data Archiving Application Retirement
In the first ever Structured Data Archiving Application Retirement Magic Quadrant, IBM is recognized as a leader in the ability to execute and completeness of vision.
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InfoSphere Optim Data Growth Solution Demo
Intelligently archive enterprise application data & address data retention
Reduce the Impact of Data Growth
Try the InfoSphere Optim Self-Service Business Value Assessment for Managing Data Growth.
The hidden costs of storage
Avoid unforeseen costs by thinking strategically about data archiving
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