Difference Between Power BI Premium Per User Plan and Bundle Plan

The two types of Power BI Premium plans—Premium Per User (PPU) and Premium Per Capacity (often called the Bundle Plan)—offer different approaches to licensing, access, and features.

1. Pricing Structure

Premium Per User (PPU):Priced per individual user, typically around $20 per user per month.Cost-effective for smaller teams or individuals needing access to Premium features without a company-wide license.
Premium Per Capacity (Bundle Plan):Priced per capacity rather than per user, typically starting at $4,995 per month.Ideal for larger organizations that want Premium access for multiple users or departments without requiring individual licenses for each person.

2. Access and User Coverage

Premium Per User (PPU):Only users with a PPU license can access Premium features, including sharing content with other PPU users.Users without PPU or Pro licenses can’t view reports or dashboards created by PPU users.
Premium Per Capacity (Bundle Plan):Allows unlimited content sharing within the organization, so free Power BI users can view content without needing individual licenses.All employees, regardless of license, can access published content if they are within the organization's Premium workspace.

3. Deployment and Resource Allocation

Premium Per User (PPU):No dedicated capacity is provided; instead, PPU users leverage shared cloud resources.This can be a limitation for large datasets or high-performance requirements, as it doesn’t provide the dedicated resources that Premium Per Capacity does.
Premium Per Capacity (Bundle Plan):Offers dedicated cloud resources for your organization, ensuring better performance for large-scale reports, datasets, and complex analytics.Supports high-performance requirements and larger dataset models.

4. Advanced Features and Scalability

Premium Per User (PPU):Includes most Premium features, such as AI and machine learning capabilities, paginated reports, larger dataset sizes, and deployment pipelines.Scalable for smaller teams who need advanced features without requiring high capacity or organization-wide access.
Premium Per Capacity (Bundle Plan):Supports all advanced features, including those available in PPU.Better suited for large-scale deployments, complex data models, and environments where enhanced data refresh rates (up to 48 times/day) and unlimited report distribution are essential.

5. Ideal Use Cases

Premium Per User (PPU):Suitable for small-to-medium teams needing Premium features without an extensive user base.Great for specialized teams (like analytics teams) that need advanced capabilities while limiting costs.
Premium Per Capacity (Bundle Plan):Ideal for larger organizations that need extensive distribution of reports and dashboards across departments without individual licensing costs.Better for companies with higher data processing needs and significant scaling requirements for datasets.

Summary Table

Feature	Premium Per User (PPU)	Premium Per Capacity (Bundle Plan)
Pricing	$20 per user per month	$4,995 per capacity per month
User Coverage	Only licensed users	Organization-wide, including free users
Resource Allocation	Shared resources	Dedicated resources
Content Sharing	Limited to PPU users	Unlimited within the organization
Dataset Size	Up to 400 GB	Up to 400 GB
Ideal For	Small teams, advanced features	Large organizations, high performance

Choosing between the two depends on organizational needs, the number of users, budget, and the extent of reporting and analytics requirements.

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards Bookmarks and Selections in Power BI are powerful features that can significantly enhance the interactivity and user experience of dashboards. Here's how you can use them effectively: 1. What are Bookmarks in Power BI? Bookmarks capture the current state of a report page, including: Visible or hidden visuals Filter states Slicer selections Sort order, drill state, and focus mode By saving different views of your report with bookmarks, you can create interactive storytelling, custom navigation, and dynamic reports. 2. What is the Selection Pane? The Selection Pane lets you control the visibility of report visuals. Using the pane, you can: Show or hide visuals based on user actions Layer visuals in an orderly manner to control how users interact with them Combine with bookmarks to toggle the visibility of different report components 3. Use Cases for Bookmarks and Selections Here are some common scenarios ...

TechBis

Search This Blog