In-mem data warehouse unifies approach across environments, beefs up cost optimizer
"We are closing the gap between the on-premises, cloud installations and SaaS world," Golombek said."SaaS already offers multi-cluster elasticity through the separation of storage and compute. That same architecture will now be available for installations in your own cloud infrastructure — AWS, Google and Azure — and on-prem systems," he added.
Since it was founded in 2000, Exasol has placed an emphasis on speed performance with its in-memory architecture. This is replicated in the cloud by specifying locally attached main memory. Other approaches to cloud data warehousing — such as Google’s BigQuery and MotherDuck — have gone serverless, which allows users to scale up and down without provisioning the database.
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