# Interactive clusters optimization | Cloud Efficiency Hub Canonical: https://www.pointfive.co/efficiency-hub/cloud-services/interactive-clusters 1 documented Interactive Clusters cost inefficiency, with how to detect it and how to fix it. [Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) # Interactive Clusters 1 documented Interactive Clusters cost inefficiency, with how to detect it and how to fix it. ## 1 inefficiency [All services](https://www.pointfive.co/efficiency-hub#browse-by-service) - Interactive Clusters CER-0216 ### [Inefficient BI Queries Driving Excessive Compute Usage](https://www.pointfive.co/efficiency-hub/inefficiencies/inefficient-bi-queries-driving-excessive-compute-usage) Business Intelligence dashboards and ad-hoc analyst queries frequently drive Databricks compute usage - especially when: Dashboards are auto-refreshed too frequently Queries scan full datasets instead of leveraging filtered views or... Compute ## More Databricks services - [Databricks Clusters 7](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-clusters) - [Databricks Compute 5](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-compute) - [Databricks SQL 4](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-sql) - [Databricks 3](https://www.pointfive.co/efficiency-hub/cloud-services/databricks) - [Databricks Serverless Compute 2](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-serverless-compute) - [Databricks Workflows 2](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-workflows) - [Delta Lake 2](https://www.pointfive.co/efficiency-hub/cloud-services/delta-lake) - [Databricks Model Serving 1](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-model-serving) - [Databricks AI Search 1](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-ai-search) - [Databricks Lakeflow Pipelines 1](https://www.pointfive.co/efficiency-hub/cloud-services/databricks-lakeflow-pipelines) --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.