{"id":28468,"date":"2023-10-02T12:15:55","date_gmt":"2023-10-02T12:15:55","guid":{"rendered":"https:\/\/chartexpo.com\/blog\/?p=28468"},"modified":"2025-10-31T22:36:39","modified_gmt":"2025-10-31T17:36:39","slug":"looker-vs-power-bi","status":"publish","type":"post","link":"https:\/\/chartexpo.com\/blog\/looker-vs-power-bi","title":{"rendered":"Looker Studio vs Power BI: Which BI Tool Fits Your Needs?"},"content":{"rendered":"<p>Picture this: a corporate boardroom filled with analysts, marketers, and executives. The tension is palpable as they prepare to unveil their latest findings.<\/p>\n<p>The projector hums to life, casting a glow that dances across eager faces.<\/p>\n<p>But there&#8217;s a twist, Looker&#8217;s intuitive dashboards power half of the presentation. The data seems to waltz effortlessly into dazzling visualizations.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi.jpg\" alt=\"Looker vs. Power BI\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytDRTM3Nis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTM5MCs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTM5MCs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<p>The other half? Power BI flexes its muscles to transform complex numbers into interactive stories.<\/p>\n<p>As the battle of insights unfolds, quips and charts are thrown with equal fervor. Looker loyalists tout its data modeling prowess, claiming it can turn a spreadsheet into a Picasso. Power BI enthusiasts counter with seamless integration into the Microsoft ecosystem, arguing that its familiarity is its strongest suit.<\/p>\n<p>This comparative analysis dissects the strengths and quirks of Looker vs. Power BI. Grab your popcorn and a front-row seat because this is one analytics showdown you won&#8217;t want to miss.<\/p>\n<h3>Table of Contents:<\/h3>\n<ol>\n<li><a href=\"#power-bi-vs-looker-an-overview\">Power BI vs. Looker: An overview<\/a><\/li>\n<li><a href=\"#easy-to-use-power-bi\">How Easy to use Power BI?<\/a><\/li>\n<li><a href=\"#easy-to-use-looker-studio\">How Easy To Use Looker Studio?<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-importance\">Why Shouldn&#8217;t You Use Looker or Power BI?<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-comparison\">Power BI vs. Looker A Brief Comparison<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-integration\">Looker Studio vs. Power BI: Integrations<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-customization\">Looker Studio vs. Power BI: Customization<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-cost\">Looker Studio vs. Power BI: Cost<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-which-one-is-best\">Looker Studio vs Microsoft Power BI, Which One is Best?<\/a><\/li>\n<li><a href=\"#power-bi-vs-looker-faqs\">FAQs<\/a><\/li>\n<li><a href=\"#wrap-up\">Wrap Up<\/a><\/li>\n<\/ol>\n<h2 id=\"power-bi-vs-looker-an-overview\">Power BI vs. Looker: An overview<\/h2>\n<p>Choosing between Looker and Microsoft Power BI depends on your organization&#8217;s priorities. Looker is known for its user-friendly semantic modeling and collaborative data exploration.<\/p>\n<p>It utilizes LookML for centralized data modeling. Meanwhile, Power BI offers robust <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-data-model\" target=\"_blank\" rel=\"noopener noreferrer\">data modeling<\/a>, user-friendly interfaces, and seamless integration with the Microsoft ecosystem.<\/p>\n<p>Power BI suits diverse organizations with pre-built connectors and accommodates both technical and non-technical users. Consider your team&#8217;s needs and technical expertise when making the decision.<\/p>\n<h3 id=\"tb2\">Power BI<\/h3>\n<p><strong>Definition:<\/strong> Power BI is a powerful <a href=\"https:\/\/chartexpo.com\/blog\/best-business-intelligence-platform\" target=\"_blank\" rel=\"noopener noreferrer\">business analytics tool by Microsoft<\/a>. It enables users to visualize and share insights from their data through interactive dashboards and reports. It has intuitive features that transform raw data into <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-data-visualizations\" target=\"_blank\" rel=\"noopener noreferrer\">compelling visualizations<\/a>, helping with informed decision-making. Moreover, its integration with Microsoft&#8217;s ecosystem and cloud services enhances its capabilities, making data analysis more impactful.<\/p>\n<h2 id=\"easy-to-use-power-bi\">How Easy To use Power BI?<\/h2>\n<p>Power BI is designed to be user-friendly and accessible. Its intuitive drag-and-drop interface allows users to easily create and customize reports and dashboards without extensive technical knowledge.<\/p>\n<p>With a range of pre-built templates and a straightforward integration process, Power BI simplifies data visualization and analysis, making it a practical tool for both beginners and experienced users.<\/p>\n<h3 id=\"tb3\">Power BI UI<\/h3>\n<p><strong>Features:<\/strong> Power BI boasts an array of features that collectively facilitate extracting meaningful insights from data.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/power-bi-ui.png\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/power-bi-ui.png\" alt=\"Power BI UI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>\n<h4>Data Connectivity<\/h4>\n<\/li>\n<\/ul>\n<p>Power BI&#8217;s strength lies in its ability to connect to a wide range of <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dataset\" target=\"_blank\" rel=\"noopener noreferrer\">data sources<\/a>. It seamlessly integrates with various databases, spreadsheets, online services, and APIs. This connectivity ensures that your data is always up-to-date, enabling real-time analysis.<\/p>\n<ul>\n<li>\n<h4>Data Visualization<\/h4>\n<\/li>\n<\/ul>\n<p>The heart of Power BI is its <a href=\"https:\/\/chartexpo.com\/blog\/data-visualization-guide\" target=\"_blank\" rel=\"noopener noreferrer\">data visualization<\/a> capabilities. It offers a plethora of visualization options allowing you to present complex data in a comprehensible manner. You can create dynamic visualizations customized to suit specific business needs. Consequently, enhances the understanding of data trends and patterns.<\/p>\n<ul>\n<li>\n<h4>Dashboards and Reports<\/h4>\n<\/li>\n<\/ul>\n<p>Power BI enables the creation of interactive <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dashboard-vs-report\" target=\"_blank\" rel=\"noopener noreferrer\">dashboards and reports<\/a> that provide a consolidated view of your data. Dashboards combine multiple visualizations into a single canvas, allowing you to monitor key metrics in one place. On the other hand, reports offer detailed insights with the flexibility to explore data at various levels.<\/p>\n<ul>\n<li>\n<h4>Collaboration<\/h4>\n<\/li>\n<\/ul>\n<p>You can securely share reports and dashboards with various stakeholders, controlling access levels to ensure data privacy. This fosters collaboration, as teams can work together, making decisions based on the latest information.<\/p>\n<h3 id=\"tb4\">Looker Studio<\/h3>\n<p><strong>Definition:<\/strong> Looker is a business intelligence and <a href=\"https:\/\/chartexpo.com\/blog\/business-analytics-vs-data-analytics\" target=\"_blank\" rel=\"noopener noreferrer\">data analytics platform<\/a>. It provides a unique modeling language that simplifies complex data queries and transformations. Moreover, it supports various data sources and integrates with popular tools and databases.<\/p>\n<h2 id=\"easy-to-use-looker-studio\">How Easy To Use Looker Studio?<\/h2>\n<p>Looker Studio is easy to use, thanks to its intuitive interface and powerful data visualization tools. Its drag-and-drop functionality allows users to quickly create and customize reports and dashboards.<\/p>\n<p>Looker Studio also offers straightforward data integration and user-friendly features, making it accessible for both beginners and advanced users.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/looker-studio-ui.png\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/looker-studio-ui.png\" alt=\"Looker UI\" width=\"650\" \/><\/a><\/div>\n<h3 id=\"tb5\">Looker Features<\/h3>\n<p><strong>Features:<\/strong> Looker has a comprehensive suite of features that empowers organizations with efficient data exploration, modeling, visualization, and collaboration.<\/p>\n<ul>\n<li>\n<h4>Data Exploration<\/h4>\n<\/li>\n<\/ul>\n<p>Looker facilitates in-depth data exploration through its intuitive interface. You can interactively query and filter data using its unique LookML modeling language. This language abstracts the complexities of SQL queries. Consequently, it enables users to delve into data and uncover insights without deep coding expertise.<\/p>\n<ul>\n<li>\n<h4>Data Modeling<\/h4>\n<\/li>\n<\/ul>\n<p>A standout feature of Looker is its advanced data modeling capabilities. With LookML, you can define and maintain a centralized data model that ensures consistent definitions and calculations. This helps to reduce data inconsistencies, accelerating the process of generating accurate and actionable insights.<\/p>\n<ul>\n<li>\n<h4>Customizable Dashboards<\/h4>\n<\/li>\n<\/ul>\n<p>Looker enables the creation of highly customizable and interactive dashboards. You can design dashboards that cater to your needs, arranging visualizations to present insights better. The interactive nature of Looker&#8217;s dashboards allows you to drill down into details and dynamically explore different dimensions.<\/p>\n<ul>\n<li>\n<h4>Data Visualization<\/h4>\n<\/li>\n<\/ul>\n<p>Looker offers a range of visualization options, including charts, graphs, and maps, to represent data insights effectively. These visualizations help ensure you <a href=\"https:\/\/chartexpo.com\/blog\/data-presentation\" target=\"_blank\" rel=\"noopener noreferrer\">present data<\/a> in a format that resonates with the intended audience.<\/p>\n<ul>\n<li>\n<h4>Data Collaboration<\/h4>\n<\/li>\n<\/ul>\n<p>You can share reports, dashboards, and analyses with colleagues securely. Looker&#8217;s cloud-based architecture supports real-time collaboration, allowing multiple users to simultaneously work on the same project. Commenting, annotations and data discussion features further enhance teamwork and knowledge sharing.<\/p>\n<h2 id=\"power-bi-vs-looker-importance\">Why Shouldn&#8217;t You Use Looker or Power BI?<\/h2>\n<p>You might avoid Looker or Power BI due to high costs, complexity for smaller businesses, a steep learning curve, performance issues with large datasets, and potential integration limitations with existing systems.<\/p>\n<h2 id=\"power-bi-vs-looker-comparison\">Power BI vs. Looker A Brief Comparison<\/h2>\n<p>Let&#8217;s delve into the differences between Power BI and Looker across various dimensions:<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/looker-studio-vs-power-bi-comparison.png\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/looker-studio-vs-power-bi-comparison.png\" alt=\"looker-studio-vs-power-bi-comparison\" width=\"650\" \/><\/a><\/div>\n<h2 id=\"power-bi-vs-looker-integration\">Looker Studio vs. Power BI: Integrations<\/h2>\n<h3>Looker Studio:<\/h3>\n<ul>\n<li><strong>Strengths<\/strong>: Integrates with a wide range of data sources including databases, cloud services, and APIs. Strong integration capabilities with platforms like Google Cloud and BigQuery.<\/li>\n<li><strong>Weaknesses<\/strong>: May have limited built-in integrations compared to Power BI, potentially requiring custom solutions for some data sources.<\/li>\n<\/ul>\n<h3>Power BI:<\/h3>\n<ul>\n<li><strong>Strengths<\/strong>: Extensive integration options with Microsoft products (e.g., Excel, Azure) and other third-party services. Robust connectors and APIs facilitate integration with a broad range of data sources.<\/li>\n<li><strong>Weaknesses<\/strong>: Integrations with non-Microsoft products might require additional configuration or third-party tools.<\/li>\n<\/ul>\n<h2 id=\"power-bi-vs-looker-customization\">Looker Studio vs. Power BI: Customization<\/h2>\n<h3>How Can You Customize Your Looker Studio Dashboard?<\/h3>\n<ol>\n<li><strong>Edit Layout<\/strong>: Use the drag-and-drop editor to adjust the arrangement of charts, tables, and widgets.<\/li>\n<li><strong>Change Themes<\/strong>: Apply and modify themes to alter the overall look and feel of the dashboard.<\/li>\n<li><strong>Add Filters<\/strong>: Incorporate interactive filters to allow users to dynamically explore data.<\/li>\n<li><strong>Modify Data Sources<\/strong>: Update or add new data sources to ensure your dashboard reflects the most current information.<\/li>\n<li><strong>Customize Visualizations<\/strong>: Adjust chart types, colors, and data labels to match your preferences and enhance clarity.<\/li>\n<\/ol>\n<h3 id=\"tb9\"><span data-sheets-root=\"1\">How Can You Customize Your Power BI Dashboard?<\/span><\/h3>\n<p>Let&#8217;s divide the process into 5 digestible stages. You can easily craft a Dashboard by using <a href=\"https:\/\/chartexpo.com\/blog\/sankey-diagram-in-power-bi\" target=\"_blank\" rel=\"noopener noreferrer\">Sankey Diagram in Power BI<\/a>.<\/p>\n<h3>Stage 1: Logging in to Power BI<\/h3>\n<ul>\n<li>Log in to Power BI.<\/li>\n<li>Enter your email. Click the \u201c<strong>Submit<\/strong>\u201d button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-to-login-to-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-to-login-to-power-bi.jpg\" alt=\"Enter email to login to Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You are redirected to your Microsoft account.<\/li>\n<li>Enter your password and click \u201c<strong>Sign in\u201d<\/strong>.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-password-to-login-to-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-password-to-login-to-power-bi.jpg\" alt=\"Enter Password to login to Power BI\" width=\"363\" \/><\/a><\/div>\n<ul>\n<li>Choose whether to stay signed in.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-stay-signed-in.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-stay-signed-in.jpg\" alt=\"Click on stay signed in\" width=\"392\" \/><\/a><\/div>\n<ul>\n<li>Once done, the Power BI home screen will open.<\/li>\n<\/ul>\n<h3>Stage 2: <strong>Creating a Data Set and Selecting the Data Set to Use in Your Sankey Chart<\/strong><\/h3>\n<ul>\n<li>Click on the \u201c<strong>Create<\/strong>\u201d option on the left-side menu.<\/li>\n<li>Select \u201d<strong>Paste or manually enter data<\/strong>&#8220;.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/select-paste-or-manually-enter-data-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/select-paste-or-manually-enter-data-in-power-bi.jpg\" alt=\"select Paste or manually enter data in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>We&#8217;ll use the following <a href=\"https:\/\/chartexpo.com\/blog\/analyzing-cash-flow\" target=\"_blank\" rel=\"noopener noreferrer\">cash flow data<\/a> for this example.<\/li>\n<\/ul>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"86\"><strong>Earnings Source<\/strong><\/td>\n<td width=\"75\"><strong>Revenue<\/strong><\/td>\n<td width=\"107\"><strong>Expenses &amp; Profit<\/strong><\/td>\n<td width=\"117\"><strong>Departments<\/strong><\/td>\n<td width=\"109\"><strong>Categories<\/strong><\/td>\n<td width=\"81\"><strong>Amount<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Providing services<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Managerial<\/td>\n<td width=\"109\">Training Sessions<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Providing services<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Managerial<\/td>\n<td width=\"109\">Office rental<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 16,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Providing services<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Managerial<\/td>\n<td width=\"109\">Wages<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 9,400<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Providing services<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Commercial<\/td>\n<td width=\"109\">Wages<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 11,300<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Sales of products<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Commercial<\/td>\n<td width=\"109\">Travel allowance<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Sales of products<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Commercial<\/td>\n<td width=\"109\">Advertising<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 12,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Sales of products<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Production<\/td>\n<td width=\"109\">Material Payment<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 25,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Sales of products<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Production<\/td>\n<td width=\"109\">Loan Payment<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 8,500<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Sales of products<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Expenses<\/td>\n<td width=\"117\">Production<\/td>\n<td width=\"109\">Wages<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 19,500<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Loans<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Gross Profit<\/td>\n<td width=\"117\"><\/td>\n<td width=\"109\">Taxes<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 11,000<\/td>\n<\/tr>\n<tr>\n<td width=\"86\">Loans<\/td>\n<td width=\"75\">Revenue<\/td>\n<td width=\"107\">Gross Profit<\/td>\n<td width=\"117\"><\/td>\n<td width=\"109\">Net Profit<\/td>\n<td width=\"81\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 13,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>Paste the above data table into the \u201c<strong>Power Query<\/strong>\u201d window.<\/li>\n<li>Select the \u201c<strong>Create a dataset only<\/strong>\u201d option.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/create-dataset-in-power-bi-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/create-dataset-in-power-bi-ce391.jpg\" alt=\"Create Dataset in Power BI ce391\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on the \u201c<strong>Data Hub<\/strong>\u201d option on the left-side menu.<\/li>\n<li>Power BI populates the data set list. (If you have not created a data set, refer to the Error! Reference source not found section.)<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/click-on-data-hub-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/click-on-data-hub-ce391.jpg\" alt=\"Click on Data Hub ce391\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Choose a data set for the <a href=\"https:\/\/chartexpo.com\/charts\/sankey-diagram\" target=\"_blank\" rel=\"noopener\">Sankey chart<\/a>.<\/li>\n<li>PBI populates the screen as shown below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/workspace-in-power-bi-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/workspace-in-power-bi-ce391.jpg\" alt=\"Workspace in Power BI ce391\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on the \u201c<strong>Create a report<\/strong>\u201d dropdown.<\/li>\n<li>Select \u201c<strong>Start from scratch<\/strong>&#8220;.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/create-report-and-start-from-scratch-ce390.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/create-report-and-start-from-scratch-ce390.jpg\" alt=\"Create Report and start from scratch ce390\" width=\"650\" \/><\/a><\/div>\n<div>\n<ul>\n<li>A Report Canvas screen appears as below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/report-canvas-screen-in-power-bi-ce390.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/report-canvas-screen-in-power-bi-ce390.jpg\" alt=\"Report Canvas screen in Power BI ce390\" width=\"650\" \/><\/a><\/div>\n<\/div>\n<h3>Stage 3: Adding the Power BI Sankey Diagram Extension by ChartExpo<\/h3>\n<ul>\n<li>Creating the Sankey Diagram requires us to use an add-in or Power BI visual from AppSource.<\/li>\n<li>Navigate to the right side of the Power BI dashboard.<\/li>\n<li>Open the Power BI Visualizations panel.<\/li>\n<li>Click the ellipsis symbol (&#8230;) as highlighted in the diagram below. This will import the Power BI Sankey Diagram extension by ChartExpo.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-to-get-more-visuals.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-to-get-more-visuals.jpg\" alt=\"click on to get more visuals\" width=\"509\" \/><\/a><\/div>\n<ul>\n<li>The following menu opens:<\/li>\n<li>Select the \u201c<strong>Get more visuals<\/strong>\u201d option.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/08\/click-on-to-get-more-visuals-ce351.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/08\/click-on-to-get-more-visuals-ce351.jpg\" alt=\"click on to get more visuals ce351\" width=\"567\" \/><\/a><\/div>\n<ul>\n<li>The following window opens.<\/li>\n<li>Enter \u201c<strong>Sankey Diagram for Power BI by ChartExpo<\/strong>\u201d in the highlighted search box.<\/li>\n<li>You should see the \u201c<strong>Sankey Diagram for Power BI by ChartExpo<\/strong>\u201d, as shown in the image below.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/sankey-diagram-for-power-bi-by-chartexpo.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/sankey-diagram-for-power-bi-by-chartexpo.jpg\" alt=\"Sankey Diagram for Power BI by ChartExpo\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click the highlighted \u201c<strong>Add<\/strong>\u201d button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-the-add-button.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-the-add-button.jpg\" alt=\"Click the Add button\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Power BI will add the \u201c<strong>Sankey Diagram for Power BI by ChartExpo<\/strong>\u201d icon in the visualization panel.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-sankey-diagram-icon.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-sankey-diagram-icon.jpg\" alt=\"Click on Sankey Diagram Icon\" width=\"187\" \/><\/a><\/div>\n<h3>Stage 4: Drawing a Sankey Diagram with ChartExpo&#8217;s Power BI extension<\/h3>\n<ul>\n<li>Select the \u201c<strong>Sankey Diagram for Power BI by ChartExpo<\/strong>\u201d icon in the visualization panel.<\/li>\n<li>The following window opens in the report section of your dashboard:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/report-section-in-dashboard.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/report-section-in-dashboard.jpg\" alt=\"Report Section in Dashboard\" width=\"297\" \/><\/a><\/div>\n<ul>\n<li>You can resize the visual as needed.<\/li>\n<li>Navigate to the right side of your Power BI dashboard.<\/li>\n<li>You should see \u201c<strong>Fields<\/strong>\u201d next to &#8220;<strong>Visualizations<\/strong>.&#8221;<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/fields-next-to-visualizations-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/fields-next-to-visualizations-ce391.jpg\" alt=\"Fields next to visualizations ce391\" width=\"359\" \/><\/a><\/div>\n<ul>\n<li>You&#8217;ll select the fields to use in your Sankey chart here.<\/li>\n<li>The ChartExpo visual needs to be selected, though. Select the fields in the following sequence:\n<ul>\n<li>Earnings Source<\/li>\n<li>Revenue<\/li>\n<li>Expenses &amp; Profit<\/li>\n<li>Departments<\/li>\n<li>Categories<\/li>\n<li>Revenue<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/select-fields-for-sankey-diagram-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/select-fields-for-sankey-diagram-ce391.jpg\" alt=\"Select fields for Sankey diagram ce391\" width=\"174\" \/><\/a><\/div>\n<ul>\n<li>You&#8217;ll be asked for a ChartExpo license key or email address.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-for-chartexpo-license.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-for-chartexpo-license.jpg\" alt=\"enter email for ChartExpo license\" width=\"531\" \/><\/a><\/div>\n<h3>Stage 5: <strong>Activate <\/strong>your ChartExpo Trial or Apply a Subscription Key<\/h3>\n<ul>\n<li>Select the ChartExpo visual.<\/li>\n<li>You should see three icons below \u201c<strong>Build Visual<\/strong>\u201d in the Visualizations panel.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/build-visual-panel-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/build-visual-panel-in-power-bi.jpg\" alt=\"Build visual panel in Power BI\" width=\"203\" \/><\/a><\/div>\n<ul>\n<li>Select the middle icon, \u201cFormat visual.&#8221;<\/li>\n<li>The visual properties will be populated as shown below.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/visual-properties-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/visual-properties-in-power-bi.jpg\" alt=\"visual properties in Power BI\" width=\"183\" \/><\/a><\/div>\n<ul>\n<li>To begin using ChartExpo as a new user;\n<ul>\n<li>Enter your email address in the textbox under the \u201c<strong>Trial Mode<\/strong>\u201d section. ChartExpo will send the License key to this email upon subscribing to the add-in.<\/li>\n<li>Ensure you provide an accurate and up-to-date email address.<\/li>\n<li>Toggle \u201c<strong>Enable Trial<\/strong>\u201d to activate your 7-day trial.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-id.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-id.jpg\" alt=\"enter email id\" width=\"180\" \/><\/a><\/div>\n<ul>\n<li>You should receive a welcome email from ChartExpo.<\/li>\n<li>If you do not find the email in your inbox, kindly check your spam folder.<\/li>\n<li>The Sankey Diagram you create under the 7-day trial contains the ChartExpo watermark.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi-1.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi-1.jpg\" alt=\"Looker vs. Power BI 1\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>If you have obtained a license key:\n<ul>\n<li>Enter your license key in the \u201c<strong>ChartExpo License Key<\/strong>\u201d textbox in the \u201c<strong>License Settings<\/strong>\u201d section (see below).<\/li>\n<li>Slide the toggle switch next to \u201c<strong>Enable License<\/strong>\u201d to &#8220;<strong>On<\/strong>&#8220;.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-license-key.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-license-key.jpg\" alt=\"enter license key\" width=\"197\" \/><\/a><\/div>\n<ul>\n<li>Your Sankey Diagram will then appear without a watermark.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi-2.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/looker-vs-power-bi-2.jpg\" alt=\"Looker vs. Power BI 2\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Let&#8217;s add a Prefix (such as a $ sign) with the numeric values in the chart.<\/li>\n<li>Expand the &#8220;<strong>Stats<\/strong>&#8221; properties and include the Prefix value.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/add-the-prefix-value-ce391.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/add-the-prefix-value-ce391.jpg\" alt=\"Add The Prefix Value ce391\" width=\"179\" \/><\/a><\/div>\n<ul>\n<li>Let&#8217;s add colors to each node. Expand the \u201c<strong>Level Colors<\/strong>\u201d properties and select the colors.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/coloring-sankey-diagram-ce390.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/09\/coloring-sankey-diagram-ce390.jpg\" alt=\"Coloring Sankey Diagram ce390\" width=\"181\" \/><\/a><\/div>\n<ul>\n<li>Automatically all changes will be saved.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/final-looker-vs-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/10\/final-looker-vs-power-bi.jpg\" alt=\"Final Looker vs. Power BI\" width=\"650\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytDRTM3Nis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTM5MCs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTM5MCs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<h4>Insights<\/h4>\n<ul>\n<li>Product sales are the company&#8217;s primary revenue source, contributing 51.48% of the total revenue.<\/li>\n<li>The company&#8217;s overall revenue amounts to $146K.<\/li>\n<li>Out of the total revenue, $122K is allocated to cover expenses, which accounts for 83.5%. This results in a gross profit of $24K, equivalent to 16.5%.<\/li>\n<li>Expenses are further categorized into managerial, commercial, and production costs. Managerial expenses amount to $35.4K, commercial expenses to $33.3K, and production expenses to $53K.<\/li>\n<li>The gross profit is then divided into taxes, with $11K allocated for taxes, and net profit, with $13K as the net profit.<\/li>\n<li>The managerial section is further divided into three subsections: training sessions, wages, and office rental, with respective costs of $10K, $9.4K, and $16K.<\/li>\n<li>Similarly, the commercial section is divided into travel allowance, advertising, and wages, with travel allowance being the highest expense category.<\/li>\n<\/ul>\n<h2 id=\"power-bi-vs-looker-cost\">Looker Studio vs. Power BI: Cost<\/h2>\n<h3>Looker Studio:<\/h3>\n<ul>\n<li><strong>Cost<\/strong>: Generally higher, with pricing often based on the number of users and data volume. Enterprise features can be costly.<\/li>\n<\/ul>\n<h3>Power BI:<\/h3>\n<ul>\n<li><strong>Cost<\/strong>: More cost-effective, especially for users within the Microsoft ecosystem. Offers a free version with basic features and affordable paid plans.<\/li>\n<\/ul>\n<h2 id=\"power-bi-vs-looker-which-one-is-best\">Looker Studio vs Microsoft Power BI, Which One is Best?<\/h2>\n<h3>Looker Studio:<\/h3>\n<ul>\n<li><strong>Strengths<\/strong>: Strong in data exploration and modeling; user-friendly interface for creating custom reports; integrates well with various data sources.<\/li>\n<li><strong>Weaknesses<\/strong>: Can be costly; might have a steeper learning curve for advanced features.<\/li>\n<\/ul>\n<h3>Microsoft Power BI:<\/h3>\n<ul>\n<li><strong>Strengths<\/strong>: Highly cost-effective, especially for Microsoft ecosystem users; extensive data visualization options; strong integration with other Microsoft products.<\/li>\n<li><strong>Weaknesses<\/strong>: Performance issues with large datasets; may require more training to fully leverage advanced capabilities.<\/li>\n<\/ul>\n<p><strong>Best Choice<\/strong>: It depends on your needs. Opt for Looker Studio if you need advanced data modeling and custom reporting, and choose Power BI for a cost-effective option with strong integration within the Microsoft ecosystem.<\/p>\n<h2 id=\"power-bi-vs-looker-faqs\">FAQs<\/h2>\n<h3>Is Looker better than Power BI?<\/h3>\n<p>The choice between Looker and Power BI depends on specific needs. Looker excels in advanced data modeling and centralizing data. On the other hand, Power BI integrates well within the Microsoft ecosystem, catering to users familiar with Microsoft tools.<\/p>\n<h3>What is the key difference between Looker and Power BI?<\/h3>\n<p>The key difference between Looker and Power BI lies in their strengths and ecosystems. Looker emphasizes advanced data modeling using LookML, offering centralized governance. Power BI is tightly integrated into the Microsoft ecosystem, making it favorable for Microsoft-oriented environments and users.<\/p>\n<h4 id=\"wrap-up\">Wrap Up<\/h4>\n<p>Looker shines as a beacon of advanced data modeling prowess. Its advanced data modeling capabilities through LookML provide centralized control and complex data transformations. This empowers you to maintain data governance and perform complex transformations with precision.<\/p>\n<p>On the other hand, Power BI stands tall as the embodiment of seamless integration within the Microsoft ecosystem. It has a user-friendly interface, and diverse data connectors and is familiar to Microsoft users. Thus, an attractive option for those who value cohesive experiences across their tools.<\/p>\n<p>Choosing between Looker and Power BI hinges on organizational needs and preferences. Looker excels in scenarios requiring intricate data modeling and governance, thus ideal for data-centric enterprises. Meanwhile, Power BI&#8217;s strength lies in its compatibility with Microsoft infrastructure, catering to users seeking a familiar environment.<\/p>\n<p>The narrative here isn&#8217;t about one being definitively better than the other. Rather, it is about choosing the contender that aligns with specific needs. Ensuring that data insights flow seamlessly and decision-making flourishes in the dynamic landscape of modern business.<\/p>\n<p>What about ChartExpo?<\/p>\n<p>It enhances the visualization capabilities of Power BI by providing additional features and support for more levels.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>Discover the key differences between Looker and Power BI, including their features and capabilities and learn how to create charts in Power BI.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/chartexpo.com\/blog\/looker-vs-power-bi\"><\/a><\/p>","protected":false},"author":1,"featured_media":28504,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1017],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Looker Studio vs Power BI: Which BI Tool Fits Your Needs? -<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/chartexpo.com\/blog\/looker-vs-power-bi\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:title\" content=\"Looker Studio vs Power BI: Which BI Tool Fits Your Needs? 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