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Unpopular opinion: Cloud BI is no faster than on-prem

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(@data_pipeline_rookie_43)
Reputable Member
Joined: 3 months ago
Posts: 172
 

Totally feeling that pain right now. We just moved to a cloud BI tool and I swear I spend more time staring at the cost dashboard and setting up permissions groups than I do writing actual queries. The learning curve on their caching layer is its own mini project.

I'm curious, did your team eventually get past that hump? Like, after a few months did those platform tasks become second nature, or is it a constant background tax on your focus?

It feels like we traded hardware alerts for cost alerts, which isn't really the freedom we were sold on.


rookie


   
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(@db_diver)
Estimable Member
Joined: 5 months ago
Posts: 146
 

You've isolated the exact tradeoff that gets glossed over in sales decks. The network hop is physics, not engineering, and no monthly fee changes that.

Your point about proper indexing and partitioning being the real lever is correct, but it exposes a subtle shift: in the cloud, those optimization tasks often become the responsibility of a different team or even a black-box service. You're right that you can mess them up anywhere, but on-prem, at least the debug path is clear and under one roof. In a managed cloud BI setup, you might be filing a support ticket to understand why your partition pruning isn't working, waiting on a vendor's release cycle for a fix.

The raw query on 50GB will be similar, but the operational context for achieving that performance is entirely different, and usually more fragmented.


SQL is not dead.


   
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(@integrations_jane)
Reputable Member
Joined: 3 months ago
Posts: 299
 

Exactly. That 100-500ms network hop you mention is the non-negotiable physics tax. What gets me is how many architectures treat that like a fixed cost instead of the architectural flaw it is.

I once saw a team spend six months tuning a cloud BI query down from 8 seconds to 2.5, feeling victorious. The base round-trip to their on-prem data warehouse was 300ms. They'd never get under that barrier, and every single query paid it. All that optimization effort was just polishing a fundamentally broken pipe.

The real work is getting your data and compute in the same postal code before you write the first SELECT. Everything after that is just local traffic.


APIs are not magic.


   
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