Power BI & Google Data Studio are both strong data analysis tools. They assist users in visualizing raw and complicated data. Data analytics and visualization are critical abilities. They enable teams to plan for activities and create new project proposals. Because both are popular and hot data analytics tools, most of you may on which is the best. In this blog, we'll go over the distinctions between Power BI and Google Data Studio. As well, as the pros and cons of each product.
What is Power BI?
Power BI is a popular business intelligence product produced by Microsoft Corporation. It includes data preprocessing, data visualizations, and data discovery. Further, the creation of interactive data analysis dashboards. Users can create strong business decisions with the aid of Power BI. Users may use this Power BI application to gather data from a variety of sources. Thus, including pictures, excel sheets, spreadsheets, and videos. You may also see the data model using the PBI tool. So, this helps to centralize the database management system.
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What is Google Data Studio?
Google Data Studio is a simple application. It allows you to build a stunning data visualization in under a minute. This is a cloud-based application that works with a variety of popular web browsers. Hence, including Chrome, Safari, and Firefox. This sort of application may provide appealing and intelligent reports. They may without requiring the user to take any action. GDS also has a free-to-use license that can use for personal or business purposes. You may access many sorts of charts with the aid of the Google Data Studio dashboard. For example, such as charts, bars, pie, lines, Areas, scatter, and so on, adds value to the data reports.
Google Data Studio vs. Power BI:
Based on a few functions, we'll compare and contrast power BI with Google Data Studio in this article. Let's get started;
Installation:
The Power BI tool may be installed or configured in a variety of ways, depending on the license. The simplest and most effective method for installing Power BI as a desktop program on your computer. The Power BI tool is simple and easy to use. So, all you need is a contemporary PC with 4GB of RAM (8GB of RAM) and Windows 8 or later installed. PBI is a Microsoft software, and it is not compatible with Mac OS X.
You do not need to install Google Data Studio on your PC because it is web-based. You may access them by login into the Google page, as you would for other Google products.
Source of information:
Power BI comes with many pre-built connectors that allow you to connect to a wide range of data sources. So, this is growing. The web connectors in PowerBI allow you to import data from almost any data source. Hence, including Amazon, Google, and other Microsoft rivals.
GDS data connections, but, are smaller, with 18 connectors designed by Google Inc. Data studio partners have additionally constructed over 400 connections. These sorts of connections are only seen on websites relating to media, and content.
Transformation of data:
Using the Power Query engine, Power BI can perform a wide range of data transformations. Power Query allows you to prepare data for visualization by performing ETL procedures on it. Data analysis expression (DAX) can also create formulae and expressions. When it comes to data transfer, Power BI provides a variety of options.
Google Data Studio, but, falls behind in this area. The only option to execute data transformation in Google Data Studio is to use JOIN keys. As a result, Google believes that you have clean data for the visualization by default.
User-friendliness:
If you're comfortable with Microsoft Excel, Power BI is a wonderful option. But, to use Power BI, you must first connect and integrate with several data sources. Power BI has also provided stronger functionality than Google Data Studio. As well as a drag-and-drop capability to assist you.
Google Data Studio, so, is incredibly user-friendly and has a short learning curve. As long as you have clean datasets, the user interface of this software is quite intuitive. Only one item you should focus on is a drag-and-drop function that allows you to produce reports.
Sharing:
When compared to Google Data Studio, sharing reports in Power BI is a difficult effort. The greatest issue is that sharing a report straight from the desktop programs is impossible. You must publish the reports in the Power BI services regularly. Mobile apps, allow you to share a dashboard or report immediately from the app.
You can share your reports and dashboards with both internal and external partners. This is possible by using Power BI.
Sharing data using Google Data Studio, but, is a lot easier. You may send reports from Google Data Studio to others by email or links. The recipients of GDS do not need to pay any subscription fees. As it does not Google provides a free product.
Compatible with mobile devices:
Power BI is available as native apps for Android, Windows, and iOS devices. You may complete the following activities with the Power BI smart mobile application:
Reporting on data visualization
Data from a report is filtered.
Notes are being added to the reports.
Setting up alerts and receiving notifications.
Exploring data reports from on-premise sources.
Because Google Data Studio does not offer a mobile application. So, it allows users to see data reports using a mobile browser, modifying the report may be difficult.
Online and community resources:
We already know that Microsoft Power BI has a large network of users. So, it can help us learn about technology and address problems. When you log in to the communities, you'll see that there's a lot of stuff relevant to the platform guide. Themes gallery, custom visual studios gallery, data tales gallery, developer, and so forth.
Google Data Studio, but, has a thriving community. This tool's community gallery area provides access to a variety of third-party widgets.
Cost:
Power BI desktop is free, but it is only available to novices who wish to learn the basics of the product. You will need to share a PC for business purposes, and the fee will be $9.99 per user/per month (premium subscription). Power BI Pro is a cloud-based program for sharing, and publishing, among other things. Power BI Premium, which costs $4995 per year. This includes on-premise and cloud-based reporting, and support for big data and analytics. Furthermore, dedicated cloud computation, and storage capacity, are available to experts.
The Google Data Studio, but, is a free-to-use program. All you need is a Google account to get started.
Functionalities:
As it has many data manipulation options. So, the Power BI application is suitable for both novices and skilled users. It also facilitates data access using data visualization features. For example, such as charts, bars, tables, graphs, and so on. Another feature of PBI is that it refreshes itself eight times each day.
When compared to GDS, it has fewer functionalities because it is a data visualization application. But, its in-memory BI engine is a valuable feature. So, that allows users to remove data visualization delays. This is especially useful when dealing with big amounts of data. Every 12 hours, the GDS application gets updated.
Power BI's Advantages and Disadvantages:
First, let's have a look at PBI:
Power BI's benefits include:
The following are the main advantages of PBI:
Provides simple data exploration and visualization:
This is a world where data is expanding. So, this tool allows you to analyze user data. while also doing data visualization activities to improve your outcomes. In comparison to other BI tools, this is an excellent tool for data visualization.
Serves as a self-managed business intelligence tool:
This Microsoft BI tool is a self-service business intelligence tool that works well. The MSBI also functions as a Microsoft Excel spreadsheet. It is useful for everyone to develop and publish data analytics in their day-to-day operations.
This utility makes use of Microsoft Excel's native features:
To provide excellent data analysis, the MSBI tool makes extensive use of Excel skills. It is quite simple to collect data from many data sources utilizing Excel's skills.
Web service applications get support from the MSBI tool:
MSBI tool integrates with programming languages. For example, Dot NET and SQL database servers create a powerful web service app. They provide several benefits to users.
Business solutions from beginning to end:
MSBI is a fantastic business solution for your company. So, that it allows users to make informed business decisions. This tool provides complete business solutions from top to bottom.
Applications for data warehouses include:
Business intelligence software allows for more advanced data analysis. The data warehouse can collect from a variety of sources. This style of warehousing is more suited to extracting data to do data analytics.
Microsoft Power BI has certain limitations:
The following are some of Microsoft PBI's flaws:
This tool is quite tough to use. To get it done, you'll need to include them in the development and IT teams.
To bind your web application users to PBI users and create row-level security in PBI.
It's difficult to keep track of users that arrive and go from a company.
It will take a significant amount of money to get started.
You must buy a premium capacity.
Pro users will not be able to utilize it.
Users must still visit your website, even when the information is not supplied to them.
Google Data Studio's Benefits:
The following are a few of the Google data studio's advantages:
It's a completely free tool to use:
If you have a Google account, you can use the tool for free.
Customizable report dashboard:
Users may personalize report dashboards using the Google Data Studio tool. So, this includes a variety of text formatting choices. For example, such as designs, Styles, graphs, and text headers. If you have new raw data, you may use this pre-built text formatting capability. So, alter it on the dashboard to meet your needs.
Here are some examples of data formatting options:
The layout of the page
Formats for text
Graphs
Metrics
Aspect of design
Visualizes data in a contemporary and engaging way:
With only a few clicks in GDS, you can design an engaging and beautiful dashboard that will entice your audience.
Dashboards for distributing reports that are automatic generate:
With the support of real-time data, GDS allows you to create an automatic report-sharing dashboard. So, this saves you time during reporting.
Provides dashboards that can share:
Users may share a dashboard using Google Data Studio for a variety of functions. This function also aids communication between colleagues and business partners.
You may distribute the report using the following tools:
sharing a link
Permissions through email
Delivers emails according to a schedule.
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Google Data Studio's Limitations:
Here are a handful of the Google data studio's flaws:
There are no real-time updates for the dashboard.
In the event of live connections, the speed is slow.
There is no option for on-premise implementation.
Further, there aren't any native data interfaces available.
There are only a few charts per dashboard report.
Interaction with the components is in limit.
Which of the two tools, PBI or Google Data Studio, is the superior one?
Now that we've reached the end of the essay, you may utilize GDS sources like Google data analytics. Further, to work with data that is accessible. Thus, with no need to provide any sophisticated information. For rapid reporting, the Google Data Studio tool is ideal. Most significantly, unless you want data hookups, it is a free tool to use.
So, we have Power BI, which is useful if you need a BI solution with sophisticated features. E.g., as larger data transformation capabilities, and customization possibilities. So, if you don't mind paying. PBI is a formidable data visualization and analytical tool. But, creating PBI dashboards necessitates some familiarity with Excel.
You may select the tool that best suits your needs and data connectivity sources.
Conclusion
We attempted to highlight above which tool is the best between Google Data Studio and Power BI. Both tools are easy to use and customize and are scalable. We discussed the primary differences between Power BI and GDS in this blog. Hence, it relies on the different categories, benefits, and negatives of the products.
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