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DashProphet vs. Looker

Looker (Google Cloud) is a developer-oriented BI platform built on its LookML modeling layer. Here's how the two models compare.

	DashProphet	Looker
Pricing model	Flat monthly subscription (see /pricing/) Analyst hours included on Growth and Scale; available as add-on blocks on Launch No per-seat licensing	Quote-based / enterprise pricing (Google Cloud) Typically platform fees plus per-user fees No analyst support included
Who builds the dashboards	Cruz Street analysts connect your sources and build the dashboards You bring the questions and the data	Requires SQL/LookML developers to build and maintain models
Hosting & data connections	Fully hosted and managed by DashProphet Built-in data lake — no separate warehouse to stand up	Connects to your cloud data warehouse (BigQuery, Snowflake, etc.) You run and maintain the warehouse
Support model	Support included with every plan Response times and analyst hours vary by plan — see /pricing/	Support tied to your Google Cloud/Looker contract

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The honest take

Where each tool fits.

What Looker does well

Looker (Google Cloud) offers governed, reusable metrics through its LookML modeling layer and is a strong fit for engineering-led data teams.

Where DashProphet differs

DashProphet trades the developer-heavy modeling layer for a built-in data lake and analysts who build the dashboards for you, so a non-technical team doesn't need SQL or a warehouse to run.

Different models fit different teams. If you'd rather have it built and managed for you, that's what we do.

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