Business Intelligence Looker vs Power BI: Best Platform 2025

Choosing the right business intelligence tool is crucial for turning data into actionable insights. Looker and Power BI are two of the most popular platforms, each offering unique features and capabilities. 

In this article, we’ll compare Looker vs Power BI, examining their strengths, use cases, and how they cater to different business needs. Whether you’re focused on data modeling, visualizations, or ease of use, this guide will help you decide which platform best fits your organization’s analytics goals.

Looker vs Power BI: Comparison Table

The following table provides a side-by-side comparison of the two BI solutions across various essential features. This will give you a quick overview of how each platform performs, and in the following sections we will dig deeper into each feature. 

Deep Dive into Looker and Power BI

Looker and Power BI are two leading business intelligence platforms. Both offer robust features for data analysis and visualization but are designed to meet different needs. 

• Looker, known for its strong integration with modern data warehouses and its flexibility through LookML, is ideal for teams that require deep customization and powerful data modeling. 
• Power BI, with its seamless integration into the Microsoft ecosystem and user-friendly interface, provides businesses with a comprehensive tool for quickly building dashboards and reports, making it a popular choice for organizations already using Microsoft products.

This following deep dive will explore how each platform handles data manipulation, customization, real-time analytics, and more to help you understand which solution best fits your business needs.

1. Ecosystem Integration

• Looker is natively integrated with Google services like Google Analytics, BigQuery, and Google Ads, making it a strong choice for users already working within the Google ecosystem. It supports over 800 partner connectors, which allow you to bring in external data sources such as Facebook Ads and custom APIs. Additionally, Looker integrates seamlessly with Google Cloud and other modern data warehouses like BigQuery, Redshift, and Snowflake. This makes it a powerful choice for businesses that rely heavily on cloud-based infrastructure and need advanced data analytics capabilities across large datasets. 
• Power BI integrates deeply with Microsoft products, including Excel, Azure, and Dynamics 365. This makes it particularly appealing for organizations using Microsoft's suite of tools. With over 100 native data connectors and the ability to create custom integrations, Power BI offers versatility in data sourcing.

2. Ease of Use

• Looker is designed for more technical users, particularly data teams with SQL knowledge. Its flexibility and power come from its ability to handle complex data modeling through LookML, which allows for deep customization of metrics and dashboards. However, this means that non-technical users may face a steeper learning curve, as understanding LookML and SQL is often required to fully leverage the platform’s capabilities. While Looker offers intuitive dashboards, it generally requires data expertise to maximize its potential.
• Power BI is more user-friendly and designed for both technical and non-technical users. With drag-and-drop functionality, pre-built templates, and a wide range of visualization options, Power BI makes it easy for users to quickly build dashboards and reports without needing advanced technical skills. Additionally, Power BI’s integration with familiar tools like Excel reduces the learning curve for users who are already part of the Microsoft ecosystem.

2. Data Manipulation and Modeling

• Looker excels in data modeling through its proprietary LookML language, which allows users to create reusable, scalable data models. LookML enables teams to define complex metrics and logic, ensuring consistency across reports and dashboards. Looker’s approach to data modeling is particularly suited for organizations that need deep customization and the ability to manipulate large, complex datasets. However, this flexibility often requires a solid understanding of SQL, making Looker better suited for technical teams with strong data expertise.
• Power BI provides robust data manipulation tools through its Power Query feature, allowing users to clean, transform, and merge data from multiple sources with ease. Power BI’s data modeling capabilities are accessible even to non-technical users, with drag-and-drop functionality and visual interfaces for creating relationships between datasets. While Power BI offers strong modeling capabilities, it is generally considered more user-friendly for business users who may not have technical backgrounds. For complex data transformation, Power BI also integrates well with DAX (Data Analysis Expressions) for advanced users looking to perform deeper data manipulation.

3. Data Integration

• Looker is optimized for integration with modern cloud-based data warehouses such as Google BigQuery, Amazon Redshift, and Snowflake, allowing real-time access to large datasets without the need for duplication or data movement. This capability makes Looker a strong choice for organizations with cloud-first strategies that need live data connections. Looker also integrates with a wide range of other sources, including SQL databases, AWS, and data lakes, offering flexibility for building custom data pipelines. However, Looker's focus remains on cloud and SQL-based environments, making it particularly suitable for businesses already operating in modern data ecosystems.
• Power BI provides broader integration capabilities, supporting both cloud-based and on-premise data sources. In addition to seamless integration with Microsoft tools like Azure, Excel, and SQL Server, Power BI offers connectors to platforms such as Salesforce, Google Analytics, Oracle, SAP, and many more. This broad range of data integrations, combined with its ability to connect to data stored in cloud storage services like Google Drive and Dropbox, makes Power BI highly versatile. For businesses with mixed infrastructures or legacy systems, Power BI’s ability to integrate with a wide variety of data environments provides a significant advantage.

4. Customization and Visualizations

• Looker offers extensive customization options, especially for data modeling and reporting through LookML. Users can create highly tailored reports and dashboards with precise control over metrics, data transformations, and logic. Looker allows users to build reusable models, ensuring consistency across the organization while enabling deep customization for specific business needs. In terms of visualizations, Looker provides a wide array of chart types and customizable layouts, but its primary strength lies in data accuracy and consistency, rather than advanced visual design. Custom visualizations are possible but typically require more technical knowledge to implement effectively.
• Power BI stands out for its rich and easy-to-use visualization capabilities. With a drag-and-drop interface, users can quickly build interactive dashboards and reports without needing extensive technical skills. Power BI offers a broad selection of pre-built visualizations, including bar charts, line graphs, pie charts, maps, and more. Additionally, users can create custom visualizations or import third-party visuals from the Power BI marketplace, providing even greater flexibility. The platform's ability to build highly interactive and visually appealing reports makes it ideal for teams looking to quickly convey insights to stakeholders.

5. Collaboration Features

• Looker is built with collaboration at its core, particularly for data teams. As a web-based platform, Looker allows multiple users to access, explore, and collaborate on the same data in real time. Users can easily share dashboards and reports with teammates via links, schedule reports to be automatically sent via email, or embed visualizations directly into applications and websites. Looker’s permissions settings also allow granular control over who can view, edit, or interact with specific reports and datasets, making it a robust solution for large teams managing complex data workflows. Its integration with third-party tools like Slack and Jira further enhances team collaboration by embedding data directly into team communication workflows.
• Power BI also supports strong collaboration, particularly within the Microsoft ecosystem. Users can easily share dashboards and reports through Power BI Service, Microsoft Teams, or SharePoint. Power BI integrates seamlessly with Office 365, making it simple to collaborate on reports through Excel or Teams. The platform supports real-time collaboration, allowing multiple users to co-author reports and dashboards, comment on shared visuals, and track changes. Additionally, Power BI offers role-based access control, ensuring that sensitive data is only available to authorized users.

6. Pricing

• Looker operates on a custom pricing model, which is typically more expensive and suited for enterprise-level organizations. The cost depends on factors like the number of users, data volumes, and specific use cases, making it a significant investment for businesses needing advanced data modeling and real-time analytics.
• Power BI, on the other hand, offers more flexible and affordable pricing options. It has a free version for individual use, and the Pro plan is priced at a flat monthly fee per user. For larger businesses, the Premium plan offers more advanced features, including higher data capacity and real-time analytics, at a higher but still competitive rate.

Streamlining Data for Power BI and Looker with Improvado

While both Looker and Power BI offer robust data visualization and business intelligence capabilities, getting your data prepared and ready for analysis can still be a complex and time-consuming process. 

Extracting data from numerous sources, cleaning it, and transforming it for visualization often requires significant manual effort, especially for larger datasets or specific marketing use cases.

This is where Improvado steps in to simplify the process. 

Improvado automatically pulls data from over 500 sources, applies necessary transformations, and prepares it for visualization within Looker, Power BI, or any other BI tool you prefer.