Alvernia University – “Doubled Performance!”
Alvernia University Doubles Performance of SQL Application with Condusiv I/O Transformation Software. “Typical IT administrators respond to application performance issues by reactively throwing more expensive server and storage hardware at them, without understanding what the real problem is. Higher education budgets can’t afford that kind of brute-force approach. By trying Condusiv's I/O reduction software first, we were able to double the performance of our LMS app sitting on SQL, stop all complaints about performance, stop the application from timing out on students, and avoid an expensive forklift hardware upgrade.”
I.B.I.S., Inc. – “ERP Twice as Fast!”
I.B.I.S., Inc. Doubles Throughput for ERP and CRM with Condusiv’s I/O Reduction Software. “The best part is that we didn’t have to spend a single dime on expensive new hardware to get that performance.”
Admiral Metals – “All Lag is Gone!”
Admiral Metals Doubles SQL Throughput with Condusiv’s I/O Reduction Software. Any lag we used to experience during peak load has disappeared. In addition to performance gains, we no longer have to reboot servers once a week.”
Goodwill – “2X Throughput & Backup Times Cut in Half”
Goodwill Industries Doubles Throughput with Condusiv’s I/O Transformation Software. “After the software was deployed, SharePoint backup times were cut in more than half. Backups that took four to five hours now take just two hours. I now have my Friday evenings back.”
ASL Marketing – “SQL Jobs Finish in Half the Time!”
ASL Cuts Hours From SQL Batch Jobs with Condusiv’s I/O Acceleration Software. "Our SQL batch imports can run during the night so data is ready for production in the morning. Before Condusiv, batch jobs would take so long, we would lose a full day of production and sometimes two.”
Bell Mobility – “Throughput Doubled!”
Bell Mobility Implements Condusiv Software and Increases Workload Throughput by 98% in Virtual Environment. “With Condusiv, we have delayed investment in additional hardware. We’ve virtualized servers that used to run on dedicated storage, and now we’re using our resources much more efficiently.”