Microsoft Power BI Premium is a strong choice for organizations needing to visualize and analyze very large datasets with self-service capabilities at a relatively low cost. DataRobot AI Platform 10.0 is better suited for organizations that prioritize automated machine learning, high predictive accuracy, and require comprehensive support and training, and are willing to invest significantly more.
| Attribute | Microsoft Power BI Premium | DataRobot AI Platform 10.0 |
|---|---|---|
| Name | Microsoft Power BI Premium | DataRobot AI Platform 10.0 |
| Description | Designed to handle large datasets with dedicated cloud resources and data model sizes up to 400 GB. Offers AI capabilities like AutoML, cognitive services integration, and Azure AI Services. Provides a wide range of built-in visuals and custom visuals. Offers prebuilt connectors for various services and databases. Allows customized dashboards and reports. Offers enhanced collaboration features such as workspaces. Provides data governance and security features, including row-level security and data encryption. Empowers business users to explore data and create reports without heavy reliance on IT departments. Incorporates AI-driven predictive analytics and forecasting. Supports real-time data processing through features like Automatic Page Refresh and Streaming. | Automates feature engineering, model selection, training, and tuning; provides AutoML capabilities. Provides clear visualizations to explain model performance and feature importance; includes built-in interactive visualizations. Offers extensive integration capabilities, including REST APIs; connects to databases, cloud storage, and data warehouses; native connectors for Databricks and AWS S3; supports integration with Python, R, and Spark; enables in-source materialization for wrangled BigQuery and Snowflake datasets. Allows users to customize reports to align with business or industry standards. Offers project and collaboration spaces, user permissions, model sharing, annotations, and version control; DataRobot Notebooks provide an interconnected environment for collaboration. Certified under ISO 27001 and SOC2 Type II compliant; supports HIPAA-compliant single-tenant SaaS offerings on AWS, Azure, and GCP; uses encryption for data at rest and in transit. Intuitive interface accessible to both data scientists and business analysts; provides clear visualizations and easy-to-understand explanations of model performance. Uses automated feature engineering to improve predictive power; supports a wide range of machine learning algorithms and models. Deployed models are accessible via REST APIs, allowing integration with applications for real-time or batch predictions. |
| Scalability | Handles data model sizes up to 400 GB. | Handles datasets up to 10GB for out-of-time validation experiments; supports scalable ingest for datasets up to 100GB. |
| AI Capabilities | AutoML, cognitive services integration, Azure AI Services, AI-driven predictive analytics and forecasting. | Automated feature engineering, model selection, training, and tuning; AutoML capabilities. |
| Data Visualization | Wide range of built-in visuals and custom visuals. | Clear visualizations to explain model performance and feature importance; includes built-in interactive visualizations. |
| Data Integration | Prebuilt connectors for various services and databases. | Extensive integration capabilities, including REST APIs; connects to databases, cloud storage, and data warehouses; native connectors for Databricks and AWS S3; supports integration with Python, R, and Spark; enables in-source materialization for wrangled BigQuery and Snowflake datasets. |
| Customization | Customized dashboards and reports. | Customizable dashboards and reports. |
| Collaboration | Enhanced collaboration features such as workspaces. | Project and collaboration spaces, user permissions, model sharing, annotations, and version control; DataRobot Notebooks provide an interconnected environment for collaboration. |
| Security and Compliance | Data governance and security features, including row-level security and data encryption. | Certified under ISO 27001 and SOC2 Type II compliant; supports HIPAA-compliant single-tenant SaaS offerings on AWS, Azure, and GCP; uses encryption for data at rest and in transit. |
| Self-Service Analytics | Empowers business users to explore data and create reports without heavy reliance on IT departments. | Intuitive interface accessible to both data scientists and business analysts; provides clear visualizations and easy-to-understand explanations of model performance. |
| Predictive Modeling | AI-driven predictive analytics and forecasting. | Automated feature engineering to improve predictive power; supports a wide range of machine learning algorithms and models. |
| Real-time Data Processing | Automatic Page Refresh and Streaming. | Deployed models are accessible via REST APIs, allowing integration with applications for real-time or batch predictions. |
| Pricing | Power BI Pro: $9.40 | — |
| Dataset Size Limit | 400GB | 100GB |
| Predictive Modeling Accuracy | Not available | Over 90% |
| Pricing for 1 User | Power BI Pro: $9.40/month | $2,000/month |
| Customer Support and Training | Not available | AI success package including onsite and online training, coaching, and guidance for a 1-year subscription period. |