WinterCorp : Cloud Data Warehousing at Enterprise Scale

Data warehousing in the cloud has taken off like a rocket ship over the past couple of years as companies invest more in analytics. But now that users are implementing in the cloud at enterprise scale, many are running into large unexpected costs and performance or stability problems. Popular cloud data warehouse engines don’t always scale well – and the wrong choice can cost customers millions – even tens of millions of dollars per year. Some cloud data warehouse migrations balloon in cost or schedule and then get abandoned when the target data warehouse engine isn’t well suited to the business requirement. Often these failed projects would have succeeded with the right cloud data warehouse engine or with a different database design. Sometimes it is not database size, but a combination of factors – such as database complexity, workload mix and online user population -- that proves to be too much for a particular data warehouse engine.

Nobody understands this better than WinterCorp—an independent consulting firm specializing in the architecture and engineering of the modern analytic data ecosystem at scale. WinterCorp works primarily with the modern data warehouse and the data lake: cloud, hybrid and on-premise. “We help customers develop a sustainable cloud or hybrid data warehouse platform and architecture that can grow with their business, while managing the challenges of scale and complexity” says Richard Winter, Founder and CEO of WinterCorp.

WinterCorp provides companies with the right business solution by helping them select a data warehouse platform that fits their needs and directions and then enabling the customer to develop a strategic data warehouse design that delivers performance, scalability, availability, and cost-efficiency. The company anticipates the implementation challenges on behalf of customers, understands their requirements through engineering analysis, and tests the data warehouse platform to deliver practical solutions.WinterCorp advises customers on the latest cloud data warehouse solutions on the market – knowing the limitations and strengths of the platforms – and recommends the one that will best suit the goals, workloads and interests of the particular customer. “We have our own cloud data warehouse lab where we perform an on-going series of experiments on the popular platforms. We have unique test data and insights that are often surprising to even the most experienced data warehouse professionals,” says Winter.