Dremio Engine Sizing on Small Kubernetes Clusters

1

Hi team,

I’m evaluating the Dremio Enterprise free trial and have a question about engine sizing. The current engine configuration appears fixed at a minimum of 14 CPUs and 56 GB RAM. Is there a way to define a smaller engine profile with reduced CPU and memory? I’m looking to deploy Dremio on a smaller Kubernetes cluster with limited resources—would that be feasible?

Thanks in Advance,
Joice J

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@JoiceJacob Look like that is the starter size. With 56 GB RAM you would only get a direct memory of 48 GB and need that direct memory for queries espeacilly if you are running more than 1 in parallel