# Explore cost data dbt platform | Enterprise, Enterprise+ You can access Cost Insights in these different dbt platform areas: * [Project dashboard](#project-dashboard) * [Catalog on Model page](#model-performance-in-catalog) * [Job details page](#job-details) Each view provides different levels of detail to help you understand your warehouse spending and optimization impact. Cost and cost reduction estimates are based on historical runs and reflect actual usage, *not* forecasts of future costs. ## Prerequisites To view cost data, ensure you have: * One of the roles listed in [Assign required permissions](./set-up-cost-insights.md#assign-required-permissions). * A supported data warehouse: * Snowflake * BigQuery * Databricks * Amazon Redshift [Preview](https://docs.getdbt.com/docs/dbt-versions/product-lifecycles "Go to https://docs.getdbt.com/docs/dbt-versions/product-lifecycles") For more information, see [Set up Cost Insights](./set-up-cost-insights.md). note For accounts already using dbt State or state-aware orchestration before Cost Insights is enabled, at least one full model build must occur within the last 10 days to establish a baseline for cost reduction calculations. If you don't see cost reduction data, try running a full build to establish the baseline. ## Project dashboard The Cost Insights section in your project dashboard gives you a high-level view of warehouse costs and the impact of optimization through dbt State or state-aware orchestration. [![Cost Insights in the project dashboard](/img/docs/dbt-platform/cost-insights/cost-insights-project.png?v=2 "Cost Insights in the project dashboard")](#)Cost Insights in the project dashboard ### Access To go to your project dashboard, select your project in the main menu and click **Dashboard**. ### Key metrics The project dashboard displays the following metrics that summarize the overall cost and optimization impact for your project: * **Total cost reduction** * **Total % reduction** * **Total query run time reduction** * **Reused assets** ### Filters You can customize the cost data you want to view by: * **Deployment type**: Production or Staging * **Last**: 30 days, 60 days, 90 days, 6 months, or 1 year * **View**: Daily, Weekly, or Monthly * **Assets**: All, Models, Tests ### Visualization tabs The project dashboard includes the following tabs that help you analyze cost and optimization trends over time. * **Cost**: Shows the estimated build cost reduction when using dbt State or state-aware orchestration. * **Usage**: Shows the estimated warehouse usage consumed and the reduction in usage from dbt State or state-aware orchestration over the selected timeframe. The **Usage** tab represents generic usage for your warehouse. The specific unit depends on your data warehouse: * Snowflake: Credits * BigQuery: Slot hours or bytes scanned (currently combined into one generic usage number) * Databricks: Databricks Units (DBUs) * Amazon Redshift Serverless: Redshift Processing Unit hours (RPU-hours) * Amazon Redshift Provisioned: Node-hours * **Query run time**: Shows the estimated reduction in build time when using dbt State or state-aware orchestration. * **Builds**: Shows total builds split into number of assets rebuilt and assets reused by dbt State or state-aware orchestration. ### Table view Access the table view by clicking **Show table**, which provides detailed optimization data such as models reused, usage reduction, and cost reduction. Use the **All** and **Jobs** buttons to switch between views: * **All**: Shows aggregated cost data across all jobs in the project. * **Jobs**: Shows cost data broken down by individual jobs. When viewing the table, you can export the data as a CSV file using the **Download** button. When **Jobs** is selected, the CSV export includes job-level data. ## Model performance in Catalog The **Model performance** section in Catalog displays historical trends to help you identify optimization opportunities and understand model resource consumption. [![Cost Insights in Catalog](/img/docs/dbt-platform/cost-insights/cost-insights-model.png?v=2 "Cost Insights in Catalog")](#)Cost Insights in Catalog ### Access To access model performance data: 1. From the main menu, go to **Catalog**. 2. Click your project from the file tree. 3. Navigate to the model whose cost data you want to view. You can search for it or click **Models** under **Project assets** in the sidebar to view all available models in the project. 4. Go to the the **Performance** tab on the model's details page. ### Key metrics The **Model performance** section displays the following metrics that summarize the overall cost and optimization impact for your project: * **Total cost reduction** * **Total % reduction** * **Total query run time deduction** * **Reused assets** (when dbt State or state-aware orchestration is enabled) ### Filters Use the time period filter to customize the data you want to view: from the last 3 months up to the last 1 week. For **Cost insights**, **Usage**, and **Query run time** tabs, you can set the view granularity by **Daily**, **Weekly**, or **Monthly**. ### Visualization tabs * **Cost insights**: Shows the estimated warehouse costs incurred by this model and cost reduction from dbt State or state-aware orchestration. * **Usage**: Shows the estimated warehouse usage consumed by this model over time. The **Usage** tab represents generic usage for your warehouse. The specific unit depends on your data warehouse: * Snowflake: Credits * BigQuery: Slot hours or bytes scanned (currently combined into one generic usage number) * Databricks: Databricks Units (DBUs) * Amazon Redshift Serverless: Redshift Processing Unit hours (RPU-hours) * Amazon Redshift Provisioned: Node-hours * **Query run time**: Shows the estimated query execution time and the reduction in run duration from dbt State or state-aware orchestration. * **Build time**: Shows average execution time for the model and how it trends over the selected period. * **Build count**: Tracks how many times the model was built or reused, including any failures or errors. * **Test results**: Displays test execution outcomes and pass/fail rates for tests on this model. * **Consumption queries**: Shows queries running against this model, helping you understand downstream usage patterns. ### Table view For **Cost insights**, **Usage**, and **Query run time** tabs, you can access the table view by clicking **Show table**, which provides detailed optimization data such as models reused, usage reduction, and cost reduction. Use the **All** and **Jobs** buttons to switch between views: * **All**: Shows aggregated cost data across all jobs in the project. * **Jobs**: Shows cost data broken down by individual jobs. When viewing the table, you can export the data as a CSV file using the **Download** button. When **Jobs** is selected, the CSV export includes job-level data. ### Chart interactions For **Build time** and **Build count** tabs: * Click on any data point in the charts to see a detailed table listing all job runs for that day. * Each row in the table provides a direct link to the run details if you want to investigate further. ## Job details The **Insights** section on the Job details page provides cost and performance data for individual jobs. [![Cost Insights in job details](/img/docs/dbt-platform/cost-insights/cost-insights-job.png?v=2 "Cost Insights in job details")](#)Cost Insights in job details ### Access To access job details, select your project in the main menu and go to **Orchestration** > **Jobs**. Select the job whose cost data you want to view. ### Filters For the **Runs** tab, you can use the **Last** filter to view data from the past week, 14 days, or 30 days. For **Cost**, **Usage**, **Query run time**, and **Builds** tabs, you can customize the cost data you want to view by: * **Last**: 30 days, 60 days, 90 days, 6 months, or 1 year * **View**: Daily, Weekly, Monthly * **Assets**: All, Models, Tests ### Visualization tabs * **Runs**: Displays the success rate and run duration in minutes for recent runs. You can select a time period with options for **Last week**, **Last 14 days**, and **Last 30 days**. * **Cost**: Shows the estimated build cost reduction when using dbt State or state-aware orchestration. * **Usage**: Shows the estimated warehouse usage consumed and the reduction in usage from dbt State or state-aware orchestration over the selected timeframe. The **Usage** tab represents generic usage for your warehouse. The specific unit depends on your data warehouse: * Snowflake: Credits * BigQuery: Slot hours or bytes scanned (currently combined into one generic usage number) * Databricks: Databricks Units (DBUs) * Amazon Redshift Serverless: Redshift Processing Unit hours (RPU-hours) * Amazon Redshift Provisioned: Node-hours * **Query run time**: Shows the estimated query execution time and the reduction in run duration from dbt State or state-aware orchestration. * **Builds**: Shows the number of assets built versus reused by dbt State or state-aware orchestration. ### Table view For **Cost**, **Usage**, **Query run time**, and **Builds** tabs, you can access the table view by clicking **Show table**, which provides detailed optimization data such as models reused, usage reduction, and cost reduction. Use the **All** and **Jobs** buttons to switch between views: * **All**: Shows aggregated cost data across all jobs in the project. * **Jobs**: Shows cost data broken down by individual jobs. When viewing the table, you can export the data as a CSV file using the **Download** button. When **Jobs** is selected, the CSV export includes job-level data. ## Was this page helpful? YesNo [Privacy policy](https://www.getdbt.com/cloud/privacy-policy)[Create a GitHub issue](https://github.com/dbt-labs/docs.getdbt.com/issues) This site is protected by reCAPTCHA and the Google [Privacy Policy](https://policies.google.com/privacy) and [Terms of Service](https://policies.google.com/terms) apply.