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  5. ArcGIS vs Tableau

ArcGIS vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8
ArcGIS
ArcGIS
Stacks144
Followers194
Votes20

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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Advice on Tableau, ArcGIS

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

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.

353k views353k
Comments
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

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.

230k views230k
Comments

Detailed Comparison

Tableau
Tableau
ArcGIS
ArcGIS

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

It is a geographic information system for working with maps and geographic information. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and much more.

Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.
-
Statistics
Stacks
1.3K
Stacks
144
Followers
1.4K
Followers
194
Votes
8
Votes
20
Pros & Cons
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive
Cons
  • 3
    Very expensive for small companies
Pros
  • 7
    Reponsive
  • 4
    Data driven vizualisation
  • 4
    A lot of widgets
  • 2
    Easy tà learn
  • 2
    3D

What are some alternatives to Tableau, ArcGIS?

Google Maps

Google Maps

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Mapbox

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

Leaflet

Leaflet

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

OpenStreetMap

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

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