Big data acceleration company, GridIron Systems, have announced that its new TurboCharger non-disruptive appliance is being readily implemented by the financial services industry to improve service-levels and solve Oracle and SQL-server performance challenges. Companies requiring access to data 24 hours a day, seven days a week all year around have saved anywhere between one and three-and-half million dollars while significantly boosting application performance and customer satisfaction according to several new case studies.
Big data acceleration company, GridIron Systems, have announced that its new TurboCharger non-disruptive appliance is being readily implemented by the financial services industry to improve service-levels and solve Oracle and SQL-server performance challenges. Companies requiring access to data 24 hours a day, seven days a week all year around have saved anywhere between one and three-and-half million dollars while significantly boosting application performance and customer satisfaction according to several new case studies.
There was no downtime, data migration, and configuration changes, all of which are usually associated with solid state disk-based (SSD) primary storage arrays. In addition, firms in the financial services industry were able to deploy TurboCharger and accelerate their big data applications in record time while still meeting their companies’ quality standards. No changes were required to servers, storage, applications, or the configuration of high availability and data protection scenarios.
By providing RAM-like access speeds to big datasets, GridIron Systems’ TurboCharger boosts application performance up to 10 times. It also does not require applications or data to be migrated from cost-effective hard disk-based storage to expensive solid state disk storage. This allows financial technology services firms to have considerably faster access to complex financial information. COCC–a leading provider of open, relationship-centered technology services for financial institutions–for example, was able to cut production run time by two thirds for its most intensive applications and their backup time in half resulting in a reduction of $500,000 in software license expense.
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