Business intelligence tools are crucial for gathering, analyzing, and visualizing data from various sources viewed by companies of all sizes. Hence, two leading data analysis platforms in the market are Looker Studio, powered by Google, and Power BI, powered by Microsoft. Both platforms simplify complex tasks by enabling digital transformation, big data analytics, and data mining, which are essential for modern business. Besides their valuable features, these platforms are used for different needs. These tools are used to find meaningful insights, identify trends and patterns in vast amounts of data, support decision-making, and streamline data analysis.
Looker Studio:
Looker Studio, previously known as Google Studio, is a cloud-based platform developed by Google in 2019. Looker provides a free and user-friendly interface, mainly used for making reports and dashboards. This tool helps users create complex data models and queries and manage the data in a structured manner by using a unique modeling language known as LookML. Their easy-to-use and low-cost feature makes them a go-to choice for beginners who are interested in advanced data analytics capabilities or those who are already working with Google products. This allows users to access various Google products like Google Sheets, BigQuery, Google Analytics, etc.
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Power BI
Power BI is a comprehensive data analytics platform designed by Microsoft in 2010 and officially released in 2011. Its traditional and complex interface makes it an excellent choice for users already familiar with Microsoft products and newcomers who are looking for a reliable and affordable BI tool. The tool is mainly designed for advanced users and enterprise-level businesses and offers AI-driven insights and high-level customization. The platform offers a wide range of in-built templates that are customized for each person’s individual needs and also integrates Microsoft services such as Teams, Excel, Azure, and Office.
While both platforms serve valuable features, choosing the right BI tool can be a game changer for organizations to stay competitive in a rapidly evolving market.
Looker Studio vs. Power BI: Key Differences
1. User-Friendly Interface:
Looker Studio: Looker Studio is a simple and intuitive tool with a drag-and-drop interface for making dashboard and report creation easy. This tool is perfect for users who have some technical experience with language models, but it may seem complex for non-technical users.
Power BI: Power BI offers an intuitive interface as well as drag-and-drop functionality, which helps in creating more advanced dashboards and reports. While the learning curve of Power BI is less steep with Looker Studio, it provides more sophisticated functionalities like built-in AI assistance, complex data management, and data mining.
2. Data Connectivity and Integration:
Looker Studio: It is primarily integrated with a wide range of Google products such as Google Cloud storage, sheets, ads, BigQuery, and more, and also integrates with third-party connectors. It supports small businesses and marketing teams that rely on Google products.
Power BI: It supports a wide range of data sources like Microsoft products (Azure, Excel, Meet), cloud-based databases (MySQL, SQL Server, Oracle), and third-party applications. It works for large-scale organizations that handle massive datasets with the help of Power Query.
3. Data Visualization and Modeling:
Looker Studio: It offers dynamic data visualization features with limited abilities for customization, which are highly integrated with the LookML programming model. The model helps you create custom fields with charts, graphs, and dashboards.
Power BI: This platform provides extensive visualization tools, including charts, graphs, maps, advanced filtering, and AI-driven insights. The users have greater control over layout, appearance, and behaviour, even though they can present their data as per their requirements.
4. Sharing and Collaboration:
Looker Studio: Collaboration allows users to make effective decisions by enabling teams to work together. Also, users can work closely with Google products and share the reports through Google Drive.
Power BI: This allows users to collab with real-time data, which means users can work together on the same document. You can also publish reports for better decision-making and a seamless integration with Microsoft Services acquiring large organization.
5. Pricing:
Looker Studio: Looker offers both free and subscription-based pricing, which is perfect for small businesses and individuals looking for a tailored solution based on their unique needs.
Power BI: It also provides a free version and a paid version with advanced-level analytics capability. The pricing model of Power BI is in three tiers:
- Power BI Desktop—Free version
- Power BI Pro—$10 user/month
- Power BI Premium—-$20 user/month
Which one to choose: Looker Studio or Power BI?
Looker Studio:
Looker Studio is known for its easy-to-use interface and robust modeling with Google products. If you are looking for a low-budget solution for creating simple reports and dashboards, Looker Studio is a great option for you. And choose this BI tool:
- if your business uses Google products
- if you are looking for a free and simple tool for basic tasks.
- if your business is small and does not require complex data analytics.
Power BI:
However, Power BI is known for its intuitive interface with seamless integration of Microsoft products. If your business is looking for advanced data analytics for large datasets and high-level features and customization capabilities, Power BI is your go-to option. Choose this platform
- if you need powerful AI-driven insights and data modeling.
- if your company deals with a large dataset and requires advanced reports and dashboard creation.
- if you are an existing Microsoft product user and want seamless integration.
Conclusion:
Looker Studio and Power BI are both powerful data visualization tools and offer various features, including data modeling, data management, and big data analytics. But along with these features, they offer different functionality that is used for distinct purposes. Ultimately, choosing the right business intelligence BI tool based on your specific needs is essential. Identify your business requirements and analyze the above-given tactics that help you to determine which platform is best suited for your business and simplify your data process.