Re:Snowflake’s response to Databricks’ TPC-DS post
by drawturkey on Saturday November 13, 2021 @09:24PM
(#29214950)
How do you get 700% markup? The difference between Standard and Enterprise is 50%. Enterprise does have features which do make workloads run faster, but this benchmark didn't need them.
Re:Snowflake’s response to Databricks’ TPC-DS post
by buttaphingas on Sunday November 14, 2021 @05:11PM
(#29221204)
I've used Snowflake for the past few years, and it's worth pointing out that when it comes to overall cost, there's a lot you get with Snowflake for free. For example, they have HA across 3 AZs out of the box, included in the price and with no configuration required.
If I'm reading what Databricks published correctly, it seems that they've only used 1 driver node for this benchmark, in other words it's a dev setup. If they want to compare apples-to-apples then they should configure, and price, a multi-AZ HA set-up.
I'm not sure if this is still applicable to Photon, however - can anyone confirm?
Re:Snowflake’s response to Databricks’ TPC-DS post
by sagarm on Wednesday November 17, 2021 @01:41PM
(#29257064)
The _data_ should be replicated, but the compute infrastructure doesn't need to be. Many companies I suspect would be fine having to restart pipelines on driver failure (increasing tail latency, basically) if it yields a substantial cost reduction.
Also proof that lakehouse and spot compute price performance economics are here to stay, that's good for customers.
Otherwise, as a vendor blog post with nothing but self-reported performance, this is worthless.
Disclaimer: I work at Databricks but I admire Snowflake's product for what it is - iron sharpens iron.