The rapid accumulation of data worldwide continues at an unprecedented rate, with most relational databases reaching terabyte size in months. Over a single year, this growth can double or triple, exceeding most companies' expectations, with adverse results. More data means degraded performance and slower response times. More data also limits availability because routine database maintenance requires more processing time, often taking systems out of service. If your company relies on data intensive, mission-critical business applications, unmanaged database growth can have a direct impact on your bottom line as you risk losing customers, frustrating users and missing new revenue opportunities.
Solving the problem of database growth is today's enterprise IT challenge, and no one knows that better than Lisa Cash, president and CEO of Princeton Softech. In the last two years, under her direction, Princeton Softech has become the market leader in providing active archiving technology to solve the problem of database growth for the long term. As with any major problem, the technical community has responded with a variety of solutions ranging from faster processors, increasing capacity and database tuning to storage area networks (SANs), network attached storage (NAS) and hierarchical storage management (HSM), just to mention a few. The traditional approach has been to throw money at the problem by buying more capacity, but today's IT budgets are limited. Each storage solution has its advantages and disadvantages. Some can be more costly than others, but none solve the inherent problem databases continue to grow.
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