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ArcGIS vs Tableau: What are the differences?
Introduction:
ArcGIS and Tableau are two powerful tools used for data visualization and analysis. While both serve similar purposes, there are several key differences between them that make them unique in their own ways.
Data Manipulation and Analysis Capabilities: One of the key differences between ArcGIS and Tableau is their focus on data manipulation and analysis. ArcGIS is primarily designed for geospatial analysis, allowing users to analyze and visualize geographic data such as maps, satellite imagery, and spatial relationships. On the other hand, Tableau offers a broader range of data manipulation and analysis capabilities, allowing users to work with various data types and perform statistical analysis, calculations, and aggregations on the data.
Visualization Capabilities: While both ArcGIS and Tableau offer advanced visualization features, they have different approaches to presenting data. ArcGIS is known for its geospatial visualization capabilities, providing specialized maps, charts, and overlays to display geographic data in a meaningful way. On the other hand, Tableau offers a wide range of visualization types, including charts, graphs, maps, and dashboards, with an emphasis on interactive and exploratory visualizations.
Geospatial Functionality: A major difference between ArcGIS and Tableau lies in their geospatial functionality. ArcGIS is specifically designed for geospatial analysis and offers a robust set of tools and functionality for working with geographic data. It includes capabilities such as spatial querying, spatial analysis, geocoding, and advanced mapping techniques. Tableau, while it does offer some geospatial capabilities, is not as specialized in this area and focuses more on general data visualization and analysis.
Customization and Extensibility: Tableau provides users with greater flexibility and customization options compared to ArcGIS. Tableau allows users to create custom calculations, define calculated fields, design custom dashboards, and apply a wide range of formatting and styling options to create visually appealing and interactive visualizations. ArcGIS, while it does offer some customization options, is more structured and less flexible in terms of design and layout.
Integration with Other Systems: ArcGIS is widely used in the field of geographic information systems (GIS) and has extensive integration capabilities with other GIS tools, data sources, and spatial databases. It can easily connect with external systems to incorporate additional geographic data and perform advanced spatial analysis. Tableau, on the other hand, is more focused on integrating with various data sources, databases, and business intelligence platforms. It provides connectors to popular data sources and allows users to blend and join data from multiple sources for analysis and visualization.
Pricing and Licensing Model: Another key difference between ArcGIS and Tableau is their pricing and licensing model. ArcGIS follows a traditional software licensing model, where users need to purchase licenses and pay annual maintenance fees for access to the software and updates. Tableau, on the other hand, offers a subscription-based model, allowing users to pay a monthly or annual fee to access the software and receive updates. This subscription model can be more flexible for organizations as it offers scalability and cost-effectiveness.
In summary, ArcGIS and Tableau differ in their focus on data manipulation and analysis, visualization capabilities, geospatial functionality, customization options, integration capabilities, and pricing and licensing models. Understanding these key differences can help users choose the right tool based on their specific data analysis and visualization needs.
Very easy-to-use UI. Good way to make data available inside the company for analysis.
Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.
Can be embedded into product to provide reporting functions.
Support team are helpful.
The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.
Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.
And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.
Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.
Pros of ArcGIS
- Reponsive7
- A lot of widgets4
- Data driven vizualisation4
- Easy tà learn2
- 3D2
- Easy API1
Pros of Tableau
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
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Cons of ArcGIS
Cons of Tableau
- Very expensive for small companies3