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The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
When it comes to solving data analytics problems at scale, it is tough to beat the hyperscalers. …
Starburst
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A Database For All Locations, Models, And Scales
Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, in databases from multiple vendors, in disparate formats, and for new workloads like artificial intelligence. …
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The Opposite Of Snowflake: Analytics Without The Data Warehouse
As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. …