Disaggregation, Analytical Engines and Starburst Trino

Disaggregation, Analytical Engines and Starburst Trino

With today’s announcement [https://www.prnewswire.com/news-releases/starburst-announces-new-product-release-which-extends-flexibility-when-building-data-lakehouse-architecture-301425279.html] of Starburst’s support for MinIO, it made sense to revisit the architectural trends that are becoming the standard for analytics workloads. Starburst provides a perfect example as we shall see shortly. The architecture follows the model of disaggregating storage and compute. Modern, high speed networks

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Databases on Object Storage - the New Normal

Databases on Object Storage - the New Normal

When you think about object storage workloads and storage types - databases are not the first thing that comes to mind. That is changing rapidly, however, driven by just two forces: the availability of true, high performance object storage and explosive growth of data and, perhaps more impactfully, its associated metadata. Because of these two forces, almost every major database

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