Additionally, because Amazon Redshift has more customers than any other cloud data warehouse, the telemetry data makes the configuration recommendations from the ML algorithms even more accurate. These algorithms are extremely effective because they are trained with real-world telemetry data generated from processing over two exabytes of data a day. Amazon Redshift also uses advanced machine learning (ML) algorithms to tune configuration settings automatically for optimal data warehouse performance. Price-performance – Amazon Redshift provides predictable performance at significantly lower total cost than other data warehouse solutions by optimizing resource utilizationĪmazon Redshift has always enabled you to manually tune workload performance based on statically partitioning memory and specifying the number of concurrent queries.Scalability – Amazon Redshift can boost throughput to be 35 times greater to support increases in concurrent users and scales linearly for a wide range of workloads.Automatic optimizations – Amazon Redshift is self-learning, self-optimizing, and constantly adapts to your actual workload to deliver the best possible performance.Out-of-the-box performance – Amazon Redshift is over twice as fast out-of-the-box than it was 6 months ago, and keeps getting faster without any additional manual optimization and tuning.Your needs may vary based on a variety of factors, including the size of your data warehouse, the number of concurrent users, the skillset of those users, and workload characteristics such as frequency of usage and query latency requirements.īased on this, Amazon Redshift has performance investments anchored in four key areas: Redshift’s performance investments are based on a broad spectrum of needs and uses the extensive fleet telemetry data from tens of thousands of customers to guide development work. This post breaks down what it takes to build the world’s fastest cloud data warehouse. Getting there was not easy, and it takes consistent investment across a variety of technical focus areas to make this happen. Because of this, Amazon Redshift is continually innovating to handle this growing volume of data and demand for insights.Īmazon Redshift delivers fast performance, at scale, for the most demanding workloads. For most organizations across the globe, the amount of data going into their data warehouse is growing exponentially, and the number of people who want insights from that data increases daily. Since Amazon Redshift launched in 2012, its focus has always been on providing you with the best possible performance, at scale, and at the lowest possible cost.
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