Update build-metrics-intro.md #4128
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clarify core and cloud metricflow use cases per slack feedback
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| To fully experience the dbt Semantic Layer, including the ability to query dbt metrics via external integrations, you'll need a [dbt Cloud Team or Enterprise account](https://www.getdbt.com/pricing/). | ||
| MetricFlow is currently available on dbt v1.6 or higher for all users. dbt Core users can use the MetricFlow CLI to define metrics in their local dbt Core project. However, to experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl) and query those metrics in downstream tools, you'll need a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. |
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Is it a product ask that we say "... to experience the power of a universal dbt Semantic Layer" rather than "... to experience the power of the universal dbt Semantic Layer"? It's a minor nit, but it hits the ear in a weird way (for me).
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i think it was a pmm suggestion but i think we can update it to the
mirnawong1
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Sep 26, 2023
mirnawong1
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mirnawong1
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mirnawong1
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mirnawong1
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| @@ -35,7 +38,7 @@ To experience the power of a universal [dbt Semantic Layer](/docs/use-dbt-semant | |||
| - Create a successful run in the environment where you configure the Semantic Layer. | |||
| - **Note:** Semantic Layer currently supports the Deployment environment for querying. (_development querying experience coming soon_) | |||
| - Set up the [Semantic Layer API](/docs/dbt-cloud-apis/sl-api-overview) in the integrated tool to import metric definitions. | |||
| - **Note:** dbt Core or Developer accounts can only query data manually using the [MetricFlow CLI](/docs/build/metricflow-cli) and SQL. To dynamically query metrics using external tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account with access to the Semantic Layer API.<br /> | |||
| - **Note:** To access the API and query metrics in downstream tools, you must have a dbt Cloud [Team or Enterprise](https://www.getdbt.com/pricing/) account. dbt Core or Developer accounts can define metrics using the [MetricFlow CLI](/docs/build/metricflow-cli).<br /> | |||
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The MetricFlow CLI installation instructions state: You can install MetricFlow using PyPI as an extension of your dbt adapter in the CLI." Will that have to do additional installations outside of just MetricFlow to get this working with a dbt Cloud Developer account? If so, we may need to add that to the CLI page as I don't see any mentions of it working with a cloud account.
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the cli doesn't work in cloud so we don't need to add the info. but maybe i can add 'ide' to clarify.
| @@ -112,13 +116,11 @@ User data passes through the Semantic Layer on its way back from the warehouse. | |||
| </details> | |||
| <details> | |||
| <summary>Is the dbt Semantic Layer open source?</summary> | |||
| The dbt Semantic Layer is proprietary, however, some components of the dbt Semantic Layer are open source, like dbt-core and MetricFlow. <br /><br />The universal dbt Semantic Layer is available to all Team and Enterprise Plans during public beta. Users on dbt Cloud Developer plans or dbt Core users can use MetricFlow to only define and test metrics locally.</details> | |||
| The dbt Semantic Layer is proprietary, however, some components of the dbt Semantic Layer are open source, like dbt-core and MetricFlow. <br /><br />dbt Cloud Developer or dbt Core users can define metrics in their project, including a local dbt Core project, using the dbt Cloud IDE or the MetricFlow CLI. However, to experience the universal dbt Semantic Layer and access those metrics using the API or downstream tools, users will must be on a dbt Cloud <a href="https://www.getdbt.com/pricing/">Team or Enterprise plan.</a></details> | |||
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Same feedback (as further up) regarding MetricFlow CLI availability for dbt Cloud Developer users. If you scroll up to line 38 in this same doc, it only mentions dbt Core.
mirnawong1
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mirnawong1
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clarify core and cloud metricflow use cases per slack feedback for SL beta docs