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Looker vs Power BI Key Differences

Kapil Panchal - June 28, 2024

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Looker vs Power BI Key Differences

Power BI and Looker are two popular data analytics and business intelligence technologies that help businesses improve their process and gain data-driven insights for better decision-making. With each technology being popular with tremendous features inside, choosing one from these can be a challenging task. To do this, we need to conduct an in-depth analysis of Looker vs Power BI right from their features and pricing to advantages and their limitations. That’s what we are going to discuss in this article.

Overview of Looker


Looker is a data analytics platform that helps C-level executives in providing data simply and intuitively. Users can explore and share findings from various data sources without any technical expertise. The easy-to-use interface enables users to effortlessly generate custom dashboards, reports, and visual representations. Looker facilitates collaborative analytics, enabling groups to exchange perspectives and monitor alterations instantly.

Overview of Power BI


Power BI a data analysis and visualization tool enables you to design interactive dashboards and reports, can connect to multiple data sources, and transform data. Its intuitive interface allows easy exploration and interpretation of data. Power BI supports collaboration through sharing and real-time updates. With customizable dashboards and robust security measures, organizations can derive actionable insights and make informed decisions.

Visualize your complex data with our Power BI Consulting Services.

What is the Market Share of Looker vs Power BI?

In the Google Looker vs Power BI comparison, Looker holds a smaller market share compared to Power BI. Google Looker has 1.84% of the market share in the data visualization category. Despite this, Looker is highly valued for its robust data modeling and analytics capabilities. It is particularly favored by enterprises with complex data needs.

looker-vs-power-bi-market-share

Looker vs Power BI - market share

Power BI holds a significant market share of 16.15% in the data analysis tools category. Power BI is a Microsoft tool, and due to its smooth integration with Microsoft products, it has a large user base. Moreover, Power BI is significantly secure compared to other tools making it a go-to choice for everyone.

Differences Between Looker vs Power BI


Have a quick glance at the key differences between Google Looker and Power BI.

Factors Power BI Looker
Targeted Audience: Business users and data analysts. Primarily data analysts and developers.
Focus: User-friendliness, drag-and-drop interface Advanced analytics, data governance, customization.
Data Source Connectivity: Extensive support for various data sources. Primarily cloud-based data sources, some on-premises.
Data Modeling: Less complex, user-friendly model building. More complex, code-based model building.
Visualization: Wide variety of charts and graphs. More customizable visualizations, the potential for code use.
Collaboration: Easy sharing and collaboration within the organization. Git integration for version control and collaboration.
Pricing: Subscription-based pricing model. Subscription-based pricing model, with potential for higher costs for complex deployments.

Looker vs Power BI: Difference in Features


Even though both tools are used for the same purpose their functionalities differ from each other. Let’s have a look at the feature differences between Looker and Power BI.

Customization

  • Looker allows users to quickly find particular visualization and integrates with LookML which provides users with a clear understanding of dimensions and attributes, but it is very limited in terms of customization.
  • Power BI has a wide range of chart types and more customization abilities than Lookers.

Analytics

  • Looker's strength is more in enterprise-scale handling the data with LookML-driven data. Changes that are made in Looker automatically extend to reports ensuring consistency across the organization.
  • Whereas Power BI allows advanced analytics and data-centric use cases.

Deploy your applications quickly with Power Apps Consulting Services

Pre-built Templates

  • Looker provides fewer ready templates, but it has options for customizing the dashboards and reports.
  • Power BI offers a vast library of pre-built templates and dashboards for quick deployment.

Integration

  • Looker requires additional integration for Microsoft products like Excel, SharePoint, and Teams, enhancing collaboration and data accessibility within the ecosystem.
  • Power BI offers seamless integration for similar functionality.

Flexibility

  • Looker offers more flexibility in data modeling and exploration, allowing users to write custom SQL queries and define complex data relationships.
  • Power BI provides a more structured approach with guided data preparation and transformation steps, suitable for users with varying technical skills.

Report Scheduling

  • Looker provides advanced scheduling and alerting features for data delivery, allowing users to schedule report deliveries and set up alerts based on predefined values.
  • Power BI offers similar functionality but may require additional configuration for advanced scheduling and alerting.

Data Transformation

  • In Looker vs Power BI feature comparison, Power BI offers robust data cleansing and transformation capabilities, including data profiling, data shaping, and advanced query editing.
  • On the other hand, Looker's data transformation features are also strong but may require more manual SQL scripting for complex transformations.

App Support

  • Looker only offers web-based applications and does not provide the need for a desktop.
  • Power BI offers web-based solutions and also supports Android and iPhone applications.

User Base

  • The preferred audience for Looker is software, retail, entertainment, media, financial services, and telecom companies.
  • Whereas Power BI is used by small, medium, and large-scale companies of all industrial sectors.
looker-vs-power-bi-customer-base

Data Modeling

  • In Looker, data modeling involves creating a centralized semantic layer to define relationships and calculations for consistent analysis.
  • Power BI focuses on self-service modeling with tools for data shaping, transformation, and mashup directly within the application.

These are the key differences in Google Looker vs Power BI that we can take into consideration. After considering the features comparison, let’s point out the advantages and disadvantages of using these tools.

Automate your business workflows with our Power Automate Consulting Services.

Google Looker vs Power BI: Advantages


Here is the table showing the advantages of Google Looker and Power BI.

Google Looker Power BI
Looker platform has many chart styles and ways to present data. It has drag-and-drop capabilities allowing you to copy formatting across visualization easily.
It has a user-friendly platform that offers real-time analysis to monitor progress constantly. It has robust sharing capabilities that allow users to distribute reports and dashboards with partners easily.
Looker allows you to create customized dashboards with drag-and-drop functionality to change visualizations as per your business needs and preferences. Power BI includes powerful data preparation tools that help users clean and transform their data before analysis.
Google Looker easily integrates with many Google services like Google Ads, Google Display, Google Analytics, Big Query, and YouTube Analytics. Power BI easily integrates with Microsoft products like Excel, Azure, and Office 365, increasing data connectivity and workflow efficiency.
With Looker, you can get access to a wide range of data sources. Users can manage data easily without any extensive training.

Google Looker vs Power BI: Limitations


Let’s delve into the limitations of Looker vs Power BI.

Google Looker Power BI
While working on a large project with Looker you might face lagging issues. As it is a Microsoft platform, it is expensive for some companies.
Very limited resources for customer support. It is not an open-source solution provider.
It takes too much time for reports to load on the platform. It has data size limitations which can be restrictive for analyzing large datasets.
Unfortunately, Looker does not run in offline mode causing a drawback for users to work remotely. Power BI depends significantly on internet connectivity to access and share data, creating drawbacks for users with unstable internet access.
The integration with other system software can be somewhat complex and challenging. Integrating Power BI with certain third-party applications and systems can be complex and may require additional tools.

Looker vs Power BI: Difference in Features


After considering the advantages and disadvantages of Looker and Power BI, we must check out the pricing differences. Both tools avail subscription-based pricing models which can be customized based on the organization's needs like the number of users, type of deployment, and volume of data. Let’s compare Looker vs Power BI pricing structures.

looker-vs-power-bi-pricing

Looker Pricing

It has a subscription-based pricing model that changes based on the usage, extra features, and user count. Looker doesn’t provide information about its pricing plan on its website, nevertheless, you can contact the sales team to get a pricing quotation. Get more pricing-related info here.

Power BI Pricing

Power BI offers three basic pricing options such as;

  • Power BI Desktop

Cost: The Power BI desktop is free to use.

Description: A standalone BI tool for individual users to create reports and visualizations.

  • Power BI Pro

Cost: The Power BI pro plan starts at $10 per user per month.

Description: Includes all features of Power BI desktop plus collaboration, sharing, and analysis capabilities.

  • Power BI Premium

Cost: The premium plan starts at $20 per user per month.

Description: Designed for enterprise-scale deployments, includes advanced features like paginated reports, AI, and greater data capacity.

  • Cost Comparison

Cost: The Power BI desktop is free to use.

Description: A standalone BI tool for individual users to create reports and visualizations.

Build secure cloud applications with our Azure App Development Services .

Cost Comparison

Comparison Factors Looker Power BI
Initial Cost: High initial cost due to the subscription-based model. Lower initial cost with the free desktop version and affordable pro licenses.
Scalability: Expensive to scale due to higher subscription costs for additional users and data. More cost-effective scalability, especially with premium capacity options.
Total Cost of Ownership: Generally higher due to the comprehensive enterprise features and customizability. Considerably lower, especially for small to mid-scale businesses due to affordable pricing tiers.

Google Looker vs Power BI: What’s Right for Your Business?


Let’s conclude which is better, Power BI or Looker. When we consider Looker vs Power BI, the choice depends on the organization's specific needs. Power BI can be an ideal solution for small to mid-scale businesses because it is typically more affordable and smoothly integrates with Microsoft services. Looker is better suited for large enterprises with complicated data requirements because of its robust enterprise features and excellent data modeling capabilities.

Want to transform your data into captivating insights? Get Power BI consulting services from iFour . We have a team of Power BI experts with enough expertise in the field to help you transform your business digitally. Our Power BI experts are highly proficient in creating interactive dashboards to help you track business performance in real-time.

Our team holds enough expertise in the field to help you transform your business digitally. Our Power BI experts are highly proficient in creating interactive dashboards to help you track business performance in real-time. Connect with us today to improve your business intelligence strategies.

Power BI vs Looker - FAQs:


1. What do you expect from a BI tool?

A BI solution should offer data visualization and reporting features to obtain real-time analysis and actionable insights. It should also offer custom dashboards and smooth integration with different data sources.

2.Can Power BI connect to Looker?

Power BI cannot be connected to Looker, but data can be exported from Looker and then loaded into Power BI for analysis. Common data formats like CSV or APIs can be used for this.

3. What is the Microsoft equivalent of Google Looker?

Power BI is the Microsoft version of Google Looker. It provides comprehensive data visualization, business analytics, and reporting capabilities similar to Looker. Both platforms provide tools for transforming raw data into actionable insights through interactive dashboards and reports.

4. What is compatible with Power BI?

Numerous data sources like business datasets, cloud services, and online platforms like Salesforce and Google Analytics are compatible with Power BI. It also supports various file formats such as Excel, CSV, and JSON, enabling seamless integration with diverse data sources. Additionally, Power BI offers connectivity through APIs and custom connectors for extending compatibility to specialized systems.

5. Which is better Looker of Power BI?

Looker and Power BI both have advantages and disadvantages such as Looker is particularly strong at data modeling and customization, whereas Power BI is known for its intuitive user interface and tight integration with Microsoft products. Hence the choice depends on what matters for your organization.

6. Why do companies use Looker?

Looker is used by businesses to transform raw data into insightful understanding that facilitates information to be understood and acted upon. Its customizable features and centralized platform expedite data analysis and decision-making procedures for better business outcomes.

7. Is Looker a business intelligence solution?

Looker is a business intelligence platform that enables businesses to analyze, visualize, and report data for making informed decisions. It offers advanced features for data modeling, exploration, and collaboration.

Looker vs Power BI Key Differences Power BI and Looker are two popular data analytics and business intelligence technologies that help businesses improve their process and gain data-driven insights for better decision-making. With each technology being popular with tremendous features inside, choosing one from these can be a challenging task. To do this, we need to conduct an in-depth analysis of Looker vs Power BI right from their features and pricing to advantages and their limitations. That’s what we are going to discuss in this article. Overview of Looker Looker is a data analytics platform that helps C-level executives in providing data simply and intuitively. Users can explore and share findings from various data sources without any technical expertise. The easy-to-use interface enables users to effortlessly generate custom dashboards, reports, and visual representations. Looker facilitates collaborative analytics, enabling groups to exchange perspectives and monitor alterations instantly. Overview of Power BI Power BI a data analysis and visualization tool enables you to design interactive dashboards and reports, can connect to multiple data sources, and transform data. Its intuitive interface allows easy exploration and interpretation of data. Power BI supports collaboration through sharing and real-time updates. With customizable dashboards and robust security measures, organizations can derive actionable insights and make informed decisions. Visualize your complex data with our Power BI Consulting Services. Get started now What is the Market Share of Looker vs Power BI? In the Google Looker vs Power BI comparison, Looker holds a smaller market share compared to Power BI. Google Looker has 1.84% of the market share in the data visualization category. Despite this, Looker is highly valued for its robust data modeling and analytics capabilities. It is particularly favored by enterprises with complex data needs. Looker vs Power BI - market share Power BI holds a significant market share of 16.15% in the data analysis tools category. Power BI is a Microsoft tool, and due to its smooth integration with Microsoft products, it has a large user base. Moreover, Power BI is significantly secure compared to other tools making it a go-to choice for everyone. Read More: PowerApps development vs Power BI development: What's the difference Differences Between Looker vs Power BI Have a quick glance at the key differences between Google Looker and Power BI. Factors Power BI Looker Targeted Audience: Business users and data analysts. Primarily data analysts and developers. Focus: User-friendliness, drag-and-drop interface Advanced analytics, data governance, customization. Data Source Connectivity: Extensive support for various data sources. Primarily cloud-based data sources, some on-premises. Data Modeling: Less complex, user-friendly model building. More complex, code-based model building. Visualization: Wide variety of charts and graphs. More customizable visualizations, the potential for code use. Collaboration: Easy sharing and collaboration within the organization. Git integration for version control and collaboration. Pricing: Subscription-based pricing model. Subscription-based pricing model, with potential for higher costs for complex deployments. Looker vs Power BI: Difference in Features Even though both tools are used for the same purpose their functionalities differ from each other. Let’s have a look at the feature differences between Looker and Power BI. Customization Looker allows users to quickly find particular visualization and integrates with LookML which provides users with a clear understanding of dimensions and attributes, but it is very limited in terms of customization. Power BI has a wide range of chart types and more customization abilities than Lookers. Analytics Looker's strength is more in enterprise-scale handling the data with LookML-driven data. Changes that are made in Looker automatically extend to reports ensuring consistency across the organization. Whereas Power BI allows advanced analytics and data-centric use cases. Deploy your applications quickly with Power Apps Consulting Services Contact Us Pre-built Templates Looker provides fewer ready templates, but it has options for customizing the dashboards and reports. Power BI offers a vast library of pre-built templates and dashboards for quick deployment. Integration Looker requires additional integration for Microsoft products like Excel, SharePoint, and Teams, enhancing collaboration and data accessibility within the ecosystem. Power BI offers seamless integration for similar functionality. Flexibility Looker offers more flexibility in data modeling and exploration, allowing users to write custom SQL queries and define complex data relationships. Power BI provides a more structured approach with guided data preparation and transformation steps, suitable for users with varying technical skills. Report Scheduling Looker provides advanced scheduling and alerting features for data delivery, allowing users to schedule report deliveries and set up alerts based on predefined values. Power BI offers similar functionality but may require additional configuration for advanced scheduling and alerting. Data Transformation In Looker vs Power BI feature comparison, Power BI offers robust data cleansing and transformation capabilities, including data profiling, data shaping, and advanced query editing. On the other hand, Looker's data transformation features are also strong but may require more manual SQL scripting for complex transformations. Read More: Microsoft Power BI And PowerApps Development: Transforming The Healthcare Sector App Support Looker only offers web-based applications and does not provide the need for a desktop. Power BI offers web-based solutions and also supports Android and iPhone applications. User Base The preferred audience for Looker is software, retail, entertainment, media, financial services, and telecom companies. Whereas Power BI is used by small, medium, and large-scale companies of all industrial sectors. Data Modeling In Looker, data modeling involves creating a centralized semantic layer to define relationships and calculations for consistent analysis. Power BI focuses on self-service modeling with tools for data shaping, transformation, and mashup directly within the application. These are the key differences in Google Looker vs Power BI that we can take into consideration. After considering the features comparison, let’s point out the advantages and disadvantages of using these tools. Automate your business workflows with our Power Automate Consulting Services. Get in Touch Google Looker vs Power BI: Advantages Here is the table showing the advantages of Google Looker and Power BI. Google Looker Power BI Looker platform has many chart styles and ways to present data. It has drag-and-drop capabilities allowing you to copy formatting across visualization easily. It has a user-friendly platform that offers real-time analysis to monitor progress constantly. It has robust sharing capabilities that allow users to distribute reports and dashboards with partners easily. Looker allows you to create customized dashboards with drag-and-drop functionality to change visualizations as per your business needs and preferences. Power BI includes powerful data preparation tools that help users clean and transform their data before analysis. Google Looker easily integrates with many Google services like Google Ads, Google Display, Google Analytics, Big Query, and YouTube Analytics. Power BI easily integrates with Microsoft products like Excel, Azure, and Office 365, increasing data connectivity and workflow efficiency. With Looker, you can get access to a wide range of data sources. Users can manage data easily without any extensive training. Google Looker vs Power BI: Limitations Let’s delve into the limitations of Looker vs Power BI. Google Looker Power BI While working on a large project with Looker you might face lagging issues. As it is a Microsoft platform, it is expensive for some companies. Very limited resources for customer support. It is not an open-source solution provider. It takes too much time for reports to load on the platform. It has data size limitations which can be restrictive for analyzing large datasets. Unfortunately, Looker does not run in offline mode causing a drawback for users to work remotely. Power BI depends significantly on internet connectivity to access and share data, creating drawbacks for users with unstable internet access. The integration with other system software can be somewhat complex and challenging. Integrating Power BI with certain third-party applications and systems can be complex and may require additional tools. Read More: Streamlining E-commerce Operations with Microsoft PowerApps Looker vs Power BI: Difference in Features After considering the advantages and disadvantages of Looker and Power BI, we must check out the pricing differences. Both tools avail subscription-based pricing models which can be customized based on the organization's needs like the number of users, type of deployment, and volume of data. Let’s compare Looker vs Power BI pricing structures. Looker Pricing It has a subscription-based pricing model that changes based on the usage, extra features, and user count. Looker doesn’t provide information about its pricing plan on its website, nevertheless, you can contact the sales team to get a pricing quotation. Get more pricing-related info here. Power BI Pricing Power BI offers three basic pricing options such as; Power BI Desktop Cost: The Power BI desktop is free to use. Description: A standalone BI tool for individual users to create reports and visualizations. Power BI Pro Cost: The Power BI pro plan starts at $10 per user per month. Description: Includes all features of Power BI desktop plus collaboration, sharing, and analysis capabilities. Power BI Premium Cost: The premium plan starts at $20 per user per month. Description: Designed for enterprise-scale deployments, includes advanced features like paginated reports, AI, and greater data capacity. Cost Comparison Cost: The Power BI desktop is free to use. Description: A standalone BI tool for individual users to create reports and visualizations. Build secure cloud applications with our Azure App Development Services . Let’s Connect Cost Comparison Comparison Factors Looker Power BI Initial Cost: High initial cost due to the subscription-based model. Lower initial cost with the free desktop version and affordable pro licenses. Scalability: Expensive to scale due to higher subscription costs for additional users and data. More cost-effective scalability, especially with premium capacity options. Total Cost of Ownership: Generally higher due to the comprehensive enterprise features and customizability. Considerably lower, especially for small to mid-scale businesses due to affordable pricing tiers. Google Looker vs Power BI: What’s Right for Your Business? Let’s conclude which is better, Power BI or Looker. When we consider Looker vs Power BI, the choice depends on the organization's specific needs. Power BI can be an ideal solution for small to mid-scale businesses because it is typically more affordable and smoothly integrates with Microsoft services. Looker is better suited for large enterprises with complicated data requirements because of its robust enterprise features and excellent data modeling capabilities. Want to transform your data into captivating insights? Get Power BI consulting services from iFour . We have a team of Power BI experts with enough expertise in the field to help you transform your business digitally. Our Power BI experts are highly proficient in creating interactive dashboards to help you track business performance in real-time. Our team holds enough expertise in the field to help you transform your business digitally. Our Power BI experts are highly proficient in creating interactive dashboards to help you track business performance in real-time. Connect with us today to improve your business intelligence strategies. Power BI vs Looker - FAQs: 1. What do you expect from a BI tool? A BI solution should offer data visualization and reporting features to obtain real-time analysis and actionable insights. It should also offer custom dashboards and smooth integration with different data sources. 2.Can Power BI connect to Looker? Power BI cannot be connected to Looker, but data can be exported from Looker and then loaded into Power BI for analysis. Common data formats like CSV or APIs can be used for this. 3. What is the Microsoft equivalent of Google Looker? Power BI is the Microsoft version of Google Looker. It provides comprehensive data visualization, business analytics, and reporting capabilities similar to Looker. Both platforms provide tools for transforming raw data into actionable insights through interactive dashboards and reports. 4. What is compatible with Power BI? Numerous data sources like business datasets, cloud services, and online platforms like Salesforce and Google Analytics are compatible with Power BI. It also supports various file formats such as Excel, CSV, and JSON, enabling seamless integration with diverse data sources. Additionally, Power BI offers connectivity through APIs and custom connectors for extending compatibility to specialized systems. 5. Which is better Looker of Power BI? Looker and Power BI both have advantages and disadvantages such as Looker is particularly strong at data modeling and customization, whereas Power BI is known for its intuitive user interface and tight integration with Microsoft products. Hence the choice depends on what matters for your organization. 6. Why do companies use Looker? Looker is used by businesses to transform raw data into insightful understanding that facilitates information to be understood and acted upon. Its customizable features and centralized platform expedite data analysis and decision-making procedures for better business outcomes. 7. Is Looker a business intelligence solution? Looker is a business intelligence platform that enables businesses to analyze, visualize, and report data for making informed decisions. It offers advanced features for data modeling, exploration, and collaboration.
Kapil Panchal

Kapil Panchal

A passionate Technical writer and an SEO freak working as a Technical Content Manager at iFour Technolab, USA. With extensive experience in IT, Services, and Product sectors, I relish writing about technology and love sharing exceptional insights on various platforms. I believe in constant learning and am passionate about being better every day.

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