![]() ![]() Across the board, gigabytes to petabytes, the average Amazon Redshift customer doubles the data analyzed every year. Many customers, including Vevo, Yelp, Redfin, and Edmunds, migrated to Amazon Redshift to improve query performance, reduce DBA overhead, and lower the cost of analytics.Īnd our customers’ data continues to grow at a very fast rate. ![]() And Amazon Redshift was fully managed from the start-you didn’t have to worry about capacity, provisioning, patching, monitoring, backups, and a host of other DBA headaches. ![]() It was at least an order of magnitude less expensive and faster than most alternatives available. They were storing it with optimistic hope that, someday, someone would find a solution.Īmazon Redshift became one of the fastest-growing AWS services because it helped solve the dark data problem. Our customers knew that there was untapped value in the data they collected why else would they spend money to store it? But the systems available to them to analyze this data were simply too slow, complex, and expensive for them to use on all but a select subset of this data. It was also true in the broader industry, where the growth rate of the enterprise storage market segment greatly surpassed that of the data warehousing market segment. We saw that this wasn’t just a cloud-specific anomaly. When we first looked into the possibility of building a cloud-based data warehouse many years ago, we were struck by the fact that our customers were storing ever-increasing amounts of data, and yet only a small fraction of that data ever made it into a data warehouse or Hadoop system for analysis. ![]()
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