Businesses Struggle to Cope With Data Storage Needs
The Actian survey found traditional data warehouse and BI technology environments are failing under the strain of growing data workloads.The ability of legacy data warehousing platforms and business intelligence (BI) tools to glean insights from big data is decreasing exponentially as more sources of data are poured into them, according to an Actian and Skyhigh Networks survey of more than 250 senior executives. The survey found analytic workloads are failing in traditional technology environments that are pervasive across enterprise networks. Half of the IT leaders surveyed indicated they are not very confident in their existing data infrastructures, while 56 percent said legacy systems are feeling the strain of these new workloads today. Another 42 percent said their data warehousing platform is breaking under the pressure. In addition, just under half (47 percent) of respondents said the cost to maintain traditional systems continues to rise and an additional 46 percent acknowledged that these traditional technologies were not architected to handle—and lack the flexibility required for—modern workloads.
"The dichotomy is between senior leadership and IT admins on where things are broken," Ashish Gupta, chief marketing officer and senior vice president of business development and big data expert at Actian, told eWEEK. "Interestingly, the IT admins correctly believe that modern BI and analytics workloads are broken because the problem is with the underlying traditional architecture that these applications run on. The senior management, not having the details believes that the issue is with the BI application."