![]() ![]() Snapshots as Backup: snapshots are point-in time backups o a cluster which can be created automatically or manually by you.Compression: this is a column-level operation that reduces the size of data when it is stored which reduces the amount of disk I/O and therefore improves query performance.Parallelizing and distributing queries across multiple nodes: Amazon Redshift distribute workload to each node in a cluster and processes work in parallel, allowing processing speed to scale in addition to storage.This drastically reduces the overall disk I/O requirements and reduces the amount of data you need to load from disk. Columnar storage technology: Amazon Redshift stores data by column rather than storing the data values together for a whole row.Scalability: you can always scale the cluster (in or out) by adding or removing nodes, scale the cluster (up or down) by specifying a different node type, or you can do both operations, respectively, should you need change after initial provision of your cluster.The nodes type you selected will determine the storage size, memory, CPU, and price of each node in the cluster: During provision of a cluster, you are required to specify the node type and the number of nodes that will make up the cluster. Collection of these nodes is called a cluster. ![]()
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