In fact, when developing a website-based application, in addition to developing CRUD processes on the backend and front end, a programmer is also required to visually analyze the data so that it is easier for users to understand.
Visual data can be presented in various ways, including optical distribution using maps or graphics and even mixed with tables. The point is that visual data aims to give the data as neatly as possible.
The development of the programming world has been completely automated, such as with Github Copilot. Hence, it is easy to develop applications as well as in terms of creating data views. Now tools are available by just clicking and dragging.
Some tools to create visual data include using data studio products from Google or other products such as Tableau. Both are capable of making visual data displays in tables, graphs, and maps.
However, even though Data Studio and Tableau have similarities, namely their function is to create visual data, there are still differences between them. Data Studio has more varied database connection facilities than Tableau, and also other differences between the two.
What is Data Visualization?
Data visualization is the process of converting data and information into graphical or visual representations, such as charts, graphs, maps, and diagrams. The goal of data visualization is to make it easier for people to understand, analyze, and communicate complex data and information.
Data visualization can be used for a wide range of purposes, including business intelligence, scientific research, journalism, and education. By using different types of visualizations, such as line graphs, bar charts, and heat maps, data visualization can help users to identify patterns, trends, and outliers in data that might be difficult to spot in raw data.
Data visualization can also be used to make data more accessible to a wider audience. For example, a data visualization can be used to explain a complex statistical concept to a non-technical audience.
Data visualization tools and software make it easy to create, manipulate, and share visual representations of data. Some examples of data visualization tools include Tableau, Google Data Studio, and R.
Tableau Overview
Tableau is a data visualization and business intelligence software. It allows users to connect to various data sources, such as databases, spreadsheets, and cloud-based services, and easily create interactive visualizations, dashboards, and reports.
The software uses a drag-and-drop interface and a wide variety of pre-built charts and graphs, making it easy for users to quickly analyze and understand large sets of data.
Tableau also includes advanced features such as data blending, statistical modeling, and forecasting, making it a powerful tool for businesses and organizations to gain insights from their data.
Additionally, Tableau provides mobile capabilities and a web-based platform, Tableau Server, for users to share and collaborate on their data visualizations and reports.
Google Data Studio
Google Data Studio is a data visualization and reporting tool provided by Google. It allows users to connect to various data sources, such as Google Analytics, Google Sheets, and BigQuery, and easily create interactive dashboards and reports.
The software uses a drag-and-drop interface and a wide variety of pre-built charts and graphs, making it easy for users to quickly analyze and understand large sets of data.
Google Data Studio also includes features such as data blending, filtering, and drill-down capabilities, making it a powerful tool for businesses and organizations to gain insights from their data.
Additionally, it allows users to share and collaborate on their data visualizations and reports with others in their organization. One of the key differences between Tableau and Google Data Studio is that Tableau is a paid software, and Google Data Studio is free to use.
Tableau vs Google Data Studio Differences
Tableau and Google Data Studio are both data visualization and business intelligence tools that allow users to connect to various data sources and create interactive visualizations, dashboards, and reports.
Tableau vs Google Data Studio Table Comparison
| Tableau | Google Data Studio | |
|---|---|---|
| Purpose | Data visualization and business intelligence tool | Data visualization and reporting tool |
| Deployment | Desktop and server versions available; can be deployed on-premises or in the cloud | Web-based platform with no installation required |
| Data sources | Supports a wide range of data sources, including spreadsheets, databases, cloud services, and web-based data sources | Supports a wide range of data sources, including spreadsheets, databases, cloud services, and web-based data sources |
| Data blending | Supports data blending from multiple data sources | Supports data blending from multiple data sources |
| Visualization | Offers a wide range of visualization options, including charts, graphs, maps, and tables | Offers a wide range of visualization options, including charts, graphs, maps, and tables |
| Customization | Highly customizable, allowing users to create custom calculations, formatting, and interactive elements | Customization is limited to a set of pre-defined options and templates |
| Collaboration | Offers collaboration features for team-based projects | Offers collaboration features for team-based projects |
| Pricing | Available in a range of pricing plans, with higher costs for more advanced features and larger data sets | Free with limited features, with paid options for more advanced features and larger data sets |
| Learning curve | Steep learning curve for beginners due to the wide range of features and options | Relatively easy to learn and use for beginners |
| Integration | Integrates well with a wide range of tools and platforms, including cloud services and third-party applications | Integrates well with other Google services, such as Google Sheets and Google Ads |
Tableau is a paid software that offers advanced features such as data blending, statistical modeling, and forecasting, and provides mobile capabilities and a web-based platform, Tableau Server, for sharing and collaboration.
Google Data Studio, on the other hand, is a free tool that allows users to connect to Google-based data sources such as Google Analytics and Google Sheets.
It also includes features such as data blending, filtering, and drill-down capabilities, and allows for sharing and collaboration.
Both tools have their own set of strengths and are suitable for different use cases and organizations with different needs and budget.
1. Goals Created
Google DataStudio
Created in 2016. The aim of GDS is to build dashboards with proper Visualizations. With limited connections, data sources, and chart types. Google Data Studio also has restrictions on usage.
Tableau
Whereas tableau was created in 2013. The purpose of the tableau is determined at multi-levels. Tableau works from aggregating data, blending, and can be used to create customized Visualizations to setting up Dashboards.
Tableau does not have any restrictions concerning data usage. Tableau can even be an excellent option for visualizing large amounts of data, high speed, and various types of data.
2. Performance
Google Data Studio
GDS performance could be better compared to Tableau. Although Google provides these tools to provide the best performance, comparatively, Google has a gap in performance.
Tableau
Tableau’s performance is outstanding. Tableau Software Company has provided all the necessary options for building Visualizations; usage of Tableau depends solely on the end user. Regarding performance, this is the only tool that can come close to its features and flexibility.
3. Security
Google Data Studio
GDS provides access sharing and password protection features to restrict others from accessing. Because GDS is a product from Google, my analogy is that the security features are similar to Google Drive. Users can rest assured that their data is safe and their visualizations are invisible to outsiders.
Tableau
Tableau provides solid Password and Permission protection features. Unless your data visualization dashboard is posted for public reference, data and visualizations cannot be viewed and shared.
Accessible to publish via Server. And for the tableau public, you can join our class to add security options.
4. Pricing
Google Data Studio
GDS is completely Free. All it takes is a Gmail login and work on the dashboard.
Tableau
Tableau provides 2 versions of paid and free software. Public Tableau is for free use where as the pro desktop version varies between 35$ and to 70$.