More consumers are shopping online than ever, and competition is fiercer than ever. New AI and machine learning capabilities let retailers personalize the shopping experience — but personalization creates vast amounts of data that applications must crunch and analyze quickly.
Silk supercharges customers' databases and workloads on the public cloud, giving up to 10x faster performance with sub-millisecond latency — even for the most complex, largest workloads like Oracle or SQL Server. Enterprise data services such as real-time data reduction, thin-provisioning, zero-footprint clones, deduplication, and data replication keep cloud resources from ballooning over budget.
Retailers can quickly scale up to meet demand during busy shopping periods, then scale back down just as easily — delivering up to 30% improved cost efficiency.
"We're able to spin up nodes, spin up controllers, reduce performance or increase performance when necessary. The ease of manageability has been a real delight for our engineers to interact with." — Frank Magaletta, Sr. Director of Infrastructure, Priceline