Companies need to find database information quickly and cost-effectively.
However, as database size grows exponentially and as SQL queries become more
complex, current search solutions struggle to meet these needs. The challenges
include adequate query response times, computationally intensive indexing
processes, and costly solutions to handle massive data sets. Many companies
are enjoying the Google search experience and OneBox functionality for their
document and content management systems, but have avoided extending the
Google Search Appliance to database content because of document count
licensing limitations. Computational load on database servers driven by OneBox
solutions is also a concern.