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mey | 4 months ago

So how would that compare to DynamoDB or BigQuery? (I have zero interest in paying for running that experiment).

In theory a Zen 5 / Eypc Turin can have up to 4TB of ram. So how would a more traditional non-clustered DB stand up?

1000 k8s pods, each with 30gb of ram, there has to be a bit of overhead/wastage going on.

discuss

order

mulmen|4 months ago

Are you asking how Dynamo compares at the storage level? Like in comparison to S3? As a key-value database it doesn’t even have a native aggregation capability. It’s a very poor choose for OLAP.

BigQuery is comparable to DuckDB. I’m curious how the various Redshift flavors (provisioned, serverless, spectrum) and Spark compare.

I don’t have a lot of experience with DuckDB but it seems like Spark is the most comparable.

fifilura|4 months ago

BigQuery is built for the distributed case while DuckDB is single CPU and requires the workarounds described in the article to act like a distributed engine.